A lot goes into making a YouTube video perform well — your title, your thumbnail, when you post, and (most importantly) the quality of your content itself.

It's a lot to think about, and figuring out what clicks for your audience takes some trial and error, but that's where the data can help.

But thanks to our analysis of almost 2 million videos shared on YouTube (including both long-form videos and YouTube Shorts), we can offer a little more concrete guidance on at least one of those factors: the best time to post on YouTube.

As we'll get into later on, this is not a magic bullet for content success; the factors I mentioned above have an outsized impact. But timing can still make a real difference. When you post during your audience's active hours, your video is more likely to pick up early engagement signals (clicks, watch time, likes) that YouTube's algorithm uses to decide whether to recommend it more widely.

Compared to all the work that goes into the rest of these processes, posting your YouTube videos and YouTube Shorts when you're most likely to get engagement is an easy box to tick. And it could give your content the boost it deserves.

In our analysis, we measured the median engagement of 1.8 million videos shared at different times, comparing performance across every hour and day of the week. This helped us pinpoint patterns in the posting times with the highest engagement, which we recommend as the best time to post on YouTube.

Based on Buffer’s analysis, the best time to post long-form videos on YouTube is Sunday at 10 a.m. For YouTube Shorts, Friday performs best, with 4 p.m., 6 p.m., and 7 p.m. taking the top three slots.

One big change from our 2025 analysis: we found that long-form YouTube videos and YouTube Shorts have very different peak posting times. This makes sense when you think about how each format gets distributed. Long-form videos and shorts are distributed differently across YouTube, which may help explain why their peak posting times look so different in our data

Shorts, on the other hand, are continuously resurfaced by YouTube's recommendation engine over days or even weeks, which means the initial publish time is less make-or-break. Because of these differences, we've separated the data this time to give you more accurate recommendations for each format.

Keep in mind, these are general recommendations. In this article, I'll also walk you through how to figure out the best time to post on YouTube for your audience, whether you're a marketer, an up-and-coming creator, or a full-time YouTuber.

Key takeaways

• YouTube long-form videos and YouTube Shorts have almost opposite peak times (mornings vs. evenings), so they benefit from separate posting schedules.
• Sunday at 10 a.m. is the single highest-performing time slot for long-form YouTube videos.
• YouTube Shorts peak in the evenings, especially on Fridays. The top three slots are all on Friday: 4 p.m., 6 p.m., and 7 p.m.
• The best day for long-form videos is Sunday, followed by Tuesday, and Monday.
• The best day for YouTube Shorts is Friday, followed by Saturday and then Thursday.
• For long-form videos especially, try to publish one to two hours before your audience's peak activity window. This gives YouTube time to process, index, and start testing your video so it's ready to be recommended right as viewers come online.

The best time to post long-form YouTube videos

The best time to post long-form videos on YouTube is Sunday at 10 a.m. by a wide margin. Videos shared at that time had the highest engagement of the entire week.

Top-performing time slots for long-form videos:

• Sunday: 10 a.m. (Peak)
• Sunday: 9 a.m.
• Friday: 12 p.m.

🌞 Generally speaking, long-form videos shared during the morning hours between around 8 a.m. and 11 a.m. tended to get the highest engagement.

In the heatmap graph above, the darkest slots represent the time slots with the highest engagement, while the lighter blocks are the time slots with the lowest engagement (the upload times probably best avoided).

If you've read our previous analysis, you might notice something interesting: the patterns have shifted. Our last dataset pointed to late afternoon (3–5 p.m.) on weekdays as the sweet spot. This time around, mornings are where the (engagement) action is, and weekends, particularly Sundays, are outperforming midweek days by a significant margin.

The worst times to post long-form YouTube videos tend to fall during the early-to-mid afternoon on weekdays, particularly Wednesday and Thursday, where engagement dips noticeably across most time slots. Thursday at 2 p.m., for instance, had one of the lowest engagement factors of the week (0.11).

That said, every day has some decent pockets. Here's a closer look at the best time to post long-form YouTube videos for each day of the week.

At a glance: the best time to post long-form YouTube videos

Morning posting times dominate this dataset. Here are the best times for every day of the week:

• Monday: 9 a.m., 10 p.m., 7 a.m.
• Tuesday: 9 a.m., 11 a.m., 8 a.m.
• Wednesday: 7 a.m., 3 p.m., 5 p.m.
• Thursday: 5 p.m., 6 p.m., 7 a.m.
• Friday: 12 p.m., 11 a.m., 3 p.m.
• Saturday: 12 p.m., 10 a.m., 3 p.m.
• Sunday: 10 a.m., 9 a.m., 12 p.m.

The best time to post long-form YouTube videos on Monday

The best time to post on YouTube on Monday is 9 a.m., followed by 10 p.m. and 7 a.m. Videos posted on Monday mornings perform well across the board. It seems viewers enjoy kicking off their week with some YouTube content. The late-evening slot at 10 p.m. also stands out, suggesting a second window for Monday uploads.

The best time to post long-form YouTube videos on Tuesday

The best time to publish YouTube content on Tuesday is 9 a.m., with other peak slots at 11 a.m. and 8 a.m. Tuesday is one of the best days of the week overall, and the morning window from 8 to 11 a.m. is consistently high-performing. If you can only publish once a week on a weekday, Tuesday morning is a solid bet.

The best time to post long-form YouTube videos on Wednesday

The best time to post on YouTube on Wednesday is 7 a.m., followed by 3 p.m. and 5 p.m. Wednesday is one of the weaker days overall (only Thursday scores lower), so expectations should be tempered here. However, the early morning and mid-afternoon slots still show reasonable engagement if Wednesday is part of your posting schedule.

The best time to post long-form YouTube videos on Thursday

The best time to post on YouTube on Thursday is 5 p.m., followed by 6 p.m. and 7 a.m. Thursday is the weakest day of the week for long-form video engagement in our data, with midday and early afternoon slots dipping particularly low. If you're posting on a Thursday, evening uploads are your best option, or consider bumping your video to Friday instead.

The best time to post long-form YouTube videos on Friday

The best time to post on YouTube on Friday is 12 p.m., with other peak slots at 11 a.m. and 3 p.m. Friday is interesting; it's the only weekday where midday outperforms morning. Friday at 12 p.m. actually had one of the highest engagement factors of the entire week (0.70), making it a standout slot. If you can't post on a Sunday, Friday around lunchtime is a worthy alternative.

The best time to post long-form YouTube videos on Saturday

The best time to post long-form YouTube videos on Saturday is 12 p.m., followed by 10 a.m. and 3 p.m. Saturday engagement is moderate and fairly consistent throughout the day, and there aren't dramatic peaks or valleys. It's a good day to post if your audience skews toward weekend viewers.

The best time to post long-form YouTube videos on Sunday

The best time to upload on YouTube on Sunday is 10 a.m. — and this is the top slot of the entire week. Sunday at 10 a.m. scored a 0.95 engagement factor, with 9 a.m. (0.80) and 12 p.m. (0.67) also performing well above average. Sunday mornings are, by far, the best time to post long-form YouTube videos.

If you're not already including Sunday in your posting schedule, this data makes a decent case for it.

The best and worst days to post long-form YouTube videos

The best day of the week to post long-form YouTube videos is Sunday, followed by Tuesday and then Monday. All three are in what our analysis categorized as "strong" engagement territory.

Saturday and Friday fall into the "moderate" range — still above the neutral threshold, and perfectly fine for posting.

Wednesday and Thursday are the weakest days of the week. Both fall well below the neutral line, with Thursday scoring the lowest. If you're choosing which days to include in your posting schedule, these are the ones to consider dropping, or at least being strategic about your posting times.

This is a notable shift from our previous data, which pointed to Wednesday through Friday as the strongest days and weekends as the weakest. The pattern has essentially reversed, with Sunday now leading the pack.

One thing worth noting: long-form videos are especially sensitive to timing. They depend on those early engagement signals to gain momentum. So if you know when your audience is most active, try publishing an hour or two before that window. This gives YouTube time to process and index your video so it's ready to surface right when your viewers come online.

The best time to post YouTube Shorts

Here's where things get even more interesting. YouTube Shorts have a very different engagement pattern from long-form videos; so different that we've broken them out into their own section for the first time.

Based on our analysis, the best time to post YouTube Shorts is Friday at 4 p.m., followed by Friday at 6 p.m. and Friday at 7 p.m. Yes, that's three Friday slots in the top three, so Friday is the undisputed best day for shorts.

🌙 While long-form videos perform best in the mornings, YouTube Shorts engagement peaks in the evenings, generally between 6 p.m. and 11 p.m. This makes sense when you think about how people consume short-form content: it's the kind of thing you scroll through to unwind at the end of the day.

The worst times to post YouTube Shorts tend to fall during the afternoon, between 12 p.m. and 5 p.m. with the exception of Friday, where the late afternoon is actually the top-performing window.

At a glance: the best time to post YouTube Shorts

Evenings dominate for YouTube Shorts. Here are the best posting times for each day of the week:

• Sunday: 7 p.m., 8 p.m., 5 p.m.
• Monday: 8 p.m., 5 p.m., 6 p.m.
• Tuesday: 8 p.m., 9 p.m., 7 p.m.
• Wednesday: 7 p.m., 8 p.m., 9 p.m.
• Thursday: 7 p.m., 8 p.m., 9 p.m.
• Friday: 4 p.m., 6 p.m., 7 p.m.
• Saturday: 7 p.m., 11 a.m., 6 p.m.

Saturday is interesting; it's the only day where a morning slot (11 a.m.) cracks the top three, so there may be a window for early-day shorts content on the weekend.

The best and worst days to post YouTube Shorts

The best day to post YouTube Shorts is Friday, followed by Saturday and then Thursday.

The worst days to post YouTube Shorts are Tuesday and Monday. If you're planning a shorts-only posting schedule, prioritizing the latter half of the week (Thursday through Saturday) and keeping Friday as your anchor day is a smart approach.

Long-form vs. shorts: a quick comparison

If you're posting both long-form videos and shorts, the key takeaway is that they need different scheduling strategies:

• Long-form videos perform best in the mornings (8a.m.–11 a.m.), with Sunday, Tuesday, and Monday as the best days.
• YouTube Shorts perform best in the evenings (6p.m.–9 p.m.), with Friday, Saturday, and Thursday as the best days.

There's almost no overlap, which is actually good news if you're publishing both formats. You can schedule long-form content for morning uploads and shorts for evening drops without competing with yourself.

Finding your best time to post on YouTube

As we often share on this blog, every audience is different. The times above are based on broad engagement patterns across millions of videos, but they may not be the right fit for your audience and their behavior.

So, your best time to publish on YouTube might be slightly different from what we've shared here. Your YouTube posting schedule, like all things in content marketing, has to be fine-tuned and figured out for your specific audience. But how do you do that?

The good news is that YouTube Analytics makes this pretty easy. Their metrics are extensive and updated in real time. Here, you'll get a good sense of when to post videos for your target audience — if you know where to look.

Here's a step-by-step guide.

1. Go to YouTube Studio

First up, head over to YouTube Studio. While there are several routes via your YouTube channel when logged in, it's easiest to head straight to studio.youtube.com.

If you're just starting, it's worth familiarizing yourself with the tool (here's how to use YouTube Studio for newbies). In a nutshell, YouTube Studio is your channel's control room, where you'll go to upload your videos and shorts, keep on top of your subscribers and comments, manage monetization, and monitor your video performance.

2. Check out your YouTube analytics

Of all the native social media analytics tools, YouTube Studio is one of the best. Not only does it offer you a wealth of stats and numbers, but it also does an excellent job of helping you understand and take action from all those metrics.

To access all this good stuff, click on the Analytics tab on the left-hand side of your screen. Here, you'll find your YouTube analytics Overview, with insights into your overall viewership, watch time, subscriber growth, engagement metrics, and more.

Visiting this space should be a regular task on your social media marketing checklist.

3. Navigate to Audience

In YouTube Studio's Audience tab (at the top of the screen), you can dig into some fascinating info about your audience as a whole, not just your subscribers.

You'll find insights into things like which videos are growing your audience (definitely a set of metrics to pay attention to if your goal is to grow your YouTube channel), a host of audience demographics like location, age, and gender, as well as the type of content your audience usually watches on YouTube (YouTube Shorts, Lives, or longer videos).

But when it comes to the best time to post on YouTube for you, the most helpful analytics segment is 'When your viewers are on YouTube.' To find this graph, scroll down a bit on the Audience tab.

Here, you'll find a unique heat map set in your local time, indicating the specific times your audience is on YouTube. Their most active times will be in the darkest purple and the least active times in the lightest purple. These slots are a great indicator of the best time to post on YouTube for your target audience.

It's well worth checking on these numbers regularly. The data applies to the last 28 days, so peak times may shift periodically.

Your checklist for high-performing YouTube videos and YouTube Shorts

While it might offer your channel a little boost to upload YouTube videos at the best time to post, it's not the be-all and end-all. There are many factors to consider to give your videos the best chance of success.

For more guidance on this, check out our guide to getting more subscribers on YouTube. Here's a quick cheat sheet to get you started:

1. Optimize your channel: Make sure you have unique, high-quality channel art (a profile picture, banner image, and video watermark), write a comprehensive channel description, and create a video spotlight or trailer for your channel.
2. Get to grips with the YouTube algorithm: The YouTube algorithm determines how your YouTube content is ranked in the platform's various feeds. It weighs specific signals (like views, watch time, engagement, and more) to pinpoint how valuable your video content is and who to show it to. Here's our guide to the YouTube algorithm and the YouTube Shorts algorithm to walk you through it.
3. Tap into YouTube SEO: Like traditional SEO, YouTube SEO starts with understanding what your audience is searching for and making it clear what your content is about. Conduct keyword research with a search engine optimization (SEO) tool, and make sure you use those keywords in your channel description, video title, and video description.
4. Create thumbnails that stop the scroll: YouTube thumbnails can make or break the success of your YouTube video. YouTube thumbnails that feature faces and emotions, use bright colors, and include branding or text generally perform better
5. Deliver value upfront: There's no point in uploading videos at the best time to post on YouTube if your audience is going to close the video within a few seconds. You've caught their attention, now make sure you hold it. Ditch long, winding intros and start delivering on your video's promise from the get-go to capture viewers' attention.
6. Use pattern interrupts: Talking-head videos get real boring, real fast. Keep your viewers engaged with subtle edits that keep things interesting — think text, transitions, b-roll footage, animations, stickers, and more.
7. Start a series: Give your audience a reason to keep coming back to your channel. Build successful videos out into a series, and, if it makes sense for your audience, deliver the next installment at regular intervals (use this 'best time to post on YouTube' guide to create your posting schedule if you're not sure when will work best).
8. Don't sleep on YouTube Shorts: With billions of views daily, YouTube's answer to TikTok and Instagram Reels can be a brilliant way to draw in new subscribers. Here are 15+ YouTube Shorts Ideas For Your Next Video to get you started.
9. Post consistently: Whether it's a video or a short, keep your YouTube channel as active as possible with a consistent posting schedule. A social media content calendar is a must-have to help you maintain your chosen cadence of quality content creation.
10. Engage with your audience: Replying to and liking viewer comments is table stakes. Go the extra mile and screenshot their comments to feature in videos, encourage discussion by asking questions in your scripts, and moderate your comments to keep your community safe and healthy. You could even ask them when they're most likely to watch videos, to help you pinpoint your best time to post on YouTube.
11. Keep going: YouTube success is a marathon, not a sprint. Don't expect virality with your first video. And don't expect leveraging the best time to post on YouTube to do all the work for you. Take the pressure off and know that your content and video quality are improving with each upload. Stick with it, pay attention to content performance, and subscribers will come.

FAQ about the best time to post on YouTube

What is the best time to post on YouTube?

Based on Buffer’s analysis of 1.8 million YouTube videos, the best time to post long-form YouTube videos is Sunday at 10 a.m. YouTube Shorts perform best on Friday, with 4 p.m., 6 p.m., and 7 p.m. taking the top three time slots.

What is the best time to post YouTube Shorts?

The best time to post YouTube Shorts is Friday at 4 p.m., followed by 6 p.m. and 7 p.m. More broadly, Shorts tend to perform best in the evenings, particularly toward the end of the week.

What is the best day to post on YouTube?

Sunday is the best day to post long-form YouTube videos, followed by Tuesday and Monday. For YouTube Shorts, Friday is the strongest day, followed by Saturday and Thursday.

Does posting time matter on YouTube?

Posting time can matter, but it’s only one factor in your video’s performance. Publishing when your audience is active may help you reach viewers at a useful time, while factors like your topic, title, thumbnail, and how well your content holds viewers’ attention are more important to long-term performance.

Should I post on YouTube before my audience is most active?

It can be worth testing posts shortly before your audience is most active, but there’s no universal lead time that works for every channel. Your YouTube Analytics can show you when your viewers are typically on YouTube. You can use those activity patterns alongside Buffer’s broader posting-time data to test different publishing times and find what works best for your channel.

How do I find my best time to post on YouTube?

To find your best time to post on YouTube, open YouTube Studio and go to Analytics → Audience. Look for the When your viewers are on YouTube report, which shows when your viewers have been active on YouTube over the past 28 days. Use this data alongside your own video performance to test and refine your posting schedule.

More YouTube resources

• How to Create Scroll-stopping YouTube Thumbnails (+ Tips from Top Creators)
• 25 Creative YouTube Shorts Ideas for Your Next Video
• YouTube SEO: A Simple Step-by-step Guide to Videos That Rank
• The 11 Best AI Video Editors for Creators and Marketers, Tried and Tested (+ Bonus AI Tool)
• Video Marketing 101: How to Build a Successful Strategy in 2026 (+ Examples & Pro Tips)

With more than 40 million registered users, Bluesky is one of the fastest-growing social networks out there.

Among the new wave of fediverse platforms and decentralized networks, Bluesky is possibly the easiest to get to grips with, thanks to its clean interface and ever-increasing community of all sorts of creators. From science to K-pop, there’s a space for everyone on the network. 

If you’re new to Bluesky and the world of decentralized social media, here’s a quick summary: Bluesky was created by former Twitter CEO Jack Dorsey, and is a decentralized social network built on an open-source protocol called AT Protocol.

With the protocol, Bluesky’s mission is to create “an open foundation for the social internet so that we can all shape its future” because “social media is too important to be controlled by a few corporations.” 

Here’s a great graphic by artist Davis Bickford that explains the company’s vision:

To mark the occasion, we teamed up with @davis.social to create a comic illustrating what Bluesky is all about. See if you can spot the easter eggs! 👀 [1/3]

[image or embed]

— Bluesky (@bsky.app) Feb 6, 2024 at 16:10

Key takeaways

• App passwords: To connect Bluesky to third-party tools like Buffer, you must generate a specific app password in your Bluesky settings rather than using your main login password.
• No native scheduling: Bluesky does not currently offer a built-in scheduling feature, making external tools necessary for planning content.
• Crossposting: You can use Buffer to post simultaneously to Bluesky, Mastodon, and other platforms to save time.
• Thread support: Buffer allows creating and scheduling full Bluesky threads.
• Self-hosting: Buffer supports users who choose to self-host their own Bluesky instances on private servers.

Initially an invite-only network, Bluesky opened its proverbial doors in February 2024, welcoming more than one million new users in just one day. 

That said, adding another platform to your social media mix is a big decision. We hope to make that a little easier with Buffer's planning, publishing, and crossposting features.

Why bother scheduling your Bluesky posts? A few good reasons:

• Stay consistent without being online 24/7. Bluesky moves fast, and a steady posting rhythm helps you stay visible.
• Free up time for conversations. When your publishing is handled, you can focus on replying, connecting, and actually being part of the community.
• Plan across platforms. If you're posting to Bluesky, X, Threads, and Mastodon, scheduling lets you coordinate your messaging in one go.
• Post when your audience is scrolling. Schedule your content to go live at times that work for your followers, even if that's 3 a.m. your time.

Another helpful feature: Buffer lets you crosspost your Bluesky content to platforms like X, Threads, Mastodon, LinkedIn, and more, all from a single composer.

One thing worth knowing for those familiar with decentralized networks: while Bluesky is decentralized, it’s not technically part of the fediverse. That’s because Bluesky’s AT Protocol is different from ActivityPub, the open protocol that fediverse platforms like Mastodon and Threads use. But with Buffer, you can bridge that gap by crossposting to both.

Sound good? Whether you're just getting started on Bluesky or ready to dive in, here's how to connect your account to Buffer and start posting.

Connect your Bluesky account to Buffer

First things first: before you can schedule or crosspost, you'll need to add Bluesky as a channel in Buffer. It only takes a few minutes.

• Sign in to Buffer (if you’ve not yet signed up, no sweat — you can do that for free here).
• In a new tab, sign in to Bluesky. 
• In Buffer, navigate to publish.buffer.com. On the left-hand side of the screen, click the + button next to Channels.
• Choose Bluesky in the dialog box.

• This will open the dialog box below:

• Leave your Buffer tab open, and navigate to your Bluesky tab. Click the profile icon on the left-hand side to go to your profile page.
• At the top of the page under your name, you’ll find your Bluesky handle. Unless you’ve customized your domain, it should look something like this: @yourname.bksy.social.
• Copy that over to the dialog box you left open in Buffer.
• Now head back to Bluesky. Click on the settings cog on the left to navigate to the Settings menu. Choose Privacy and Security to find the App passwords option.

• Click Add App Password

• This will open a dialog box that allows you to create a new app password. You can stick with the default password name or create your own. (Note that this is not your login password. It’s more like a key that will unlock Bluesky for your Buffer account.)
• Your password will appear in the next window. Copy that and head back to Buffer, where you can paste it into the Bluesky App Password box.
• Click Continue, and you’re all done. And you're all set. Your Bluesky account is now connected to Buffer.

Schedule and crosspost your Bluesky content

Here’s the 30-second version:

• Open Buffer and click + New.
• Select Bluesky (and any other channels)
• Draft your text, images, or video.
• Choose when you'd like to post.
• Review it any time from your Buffer calendar.

There are many routes to creating a new post in Buffer. We'll start with the + New button on the top right of publish.buffer.com.(You can also create posts by clicking the + icon next to any channel, or by clicking on calendar or queue slots.)

The process will be similar for whichever option you choose.

• Log in to Buffer, then click on the Publish tab at the top. 
• Click the + New button on the top right. 
• In the composer window, be sure to choose Bluesky from your channels list at the top. To crosspost, choose the other channels you want to publish to as well.

• Add your text or media to the main composer window. Bluesky posts can be up to 300 characters and support up to four images or one video (up to three minutes long). You can also add alt text to your images directly in the Buffer composer to make your content more accessible — something Bluesky actively encourages.
• If you’re crossposting, you can customize for each platform by clicking within the boxes that correspond to each of the channels you’ve selected.
• When you’re ready to post, pick your preferred option:
  • Next Available: Publish in the next available slot in each platform’s custom queue
  • Prioritize: Bump your post to the top of the queue
  • Now: Publish right away
  • Set Date and Time: Publish at a specific time
• To move your posts around, head to your calendar in Buffer and drag the post to a new slot, or hover over the post and click Edit.

And that's it. Your post is scheduled and ready to go live on your chosen platforms at your chosen times. One less thing to worry about.

Want to create a Bluesky thread? In the Buffer composer, click Start thread at the bottom of the editor. Add each post in the thread using the + button, then schedule or publish as usual. Buffer will post the entire thread in order, right on time.

Once your posts are live, Buffer can help you stay on top of the conversation, too. With Buffer's Community tool, you can view and reply to your Bluesky comments directly from Buffer — no tab-switching needed. And if you want to see what's working, Buffer's analytics let you track engagement and follower growth right from your dashboard.

Let’s connect on Bluesky

Bluesky is a platform worth being on right now, and I'd love to connect with you there. You can find me here and Buffer here.

I hope this guide made things easier. If you run into any questions as you're getting set up, our support team is always here to help.

FAQs about Bluesky

What if I'm self-hosting my Bluesky account — can I still use Buffer?

You can; we support custom servers in Buffer, so go ahead and connect your account.

What is self-hosting?

Self-hosting means running your Bluesky account on a server you control, rather than on Bluesky's default servers. Most people use the standard Bluesky-hosted instance when they sign up. If you'd prefer more control over your data, you can host your own instance instead. It's similar to the difference between using a hosted website builder and running your own server.

Does Bluesky have built-in scheduling?

Not yet; Bluesky doesn't offer any built-in scheduling tools right now, so if you want to schedule, you'll need a third-party tool. You can connect your Bluesky account to Buffer, pick a time (or add it to your queue), and Buffer will publish it for you, even while you're offline.

Can I schedule Bluesky threads in Buffer?

While Bluesky supports threads natively, it doesn't currently let you schedule them. Buffer lets you create and schedule complete threads ahead of time. However, you can schedule threads with Buffer. In the Buffer composer, click Start thread, add each post, and then choose when you want it to go live. We'll publish the entire thread in order, right on time.

Can I crosspost my Bluesky content to other platforms with Buffer?

Yes, you can. In the Buffer composer, select Bluesky along with any other channels you'd like. Customize each version if needed, pick your times, and we'll take care of publishing to every platform.

Can I schedule Bluesky posts from my phone?

Yes. Download the Buffer app for iOS or Android, connect your Bluesky account, and you can draft, schedule, and manage your posts right from your phone.

What types of media can I include in a scheduled Bluesky post?

When composing a Bluesky post in Buffer, you can include text, images, and video. You can also add alt text to any image directly in the Buffer composer. Just click the image after uploading. It's a small step that makes your content more accessible to everyone.

Is Buffer free to use for scheduling Bluesky posts?

Yes. Buffer has a free plan that lets you connect a Bluesky account and schedule posts right away, with no credit card required. Paid plans add more channels, a higher scheduling limit, and other features. You can get started and upgrade whenever it makes sense for you.

More Bluesky resources

If you’re new to the platform (or want to level up), we have a bunch of resources to help make things a little easier. Here’s my recommended reading:

• What is Bluesky? Here's What You Should Know
• What You Need to Know About How to Use Bluesky
• 7 Bluesky Content Ideas and Tips for Your Next Post
• All of Bluesky’s Features (So Far) and How to Use Them
• Bluesky Verification is Here: How the Blue Check Works
• Subscriptions and Monetization are Coming to Bluesky — Here's How

After digging into millions of posts sent through Buffer, we've tracked down the best time to post on all major social platforms, LinkedIn included.

By "we," I mean Julian Winternheimer, our resident data scientist.

We've (OK, Julian has) been running these numbers for around two years now, and the 2026 LinkedIn findings surprised me a little.

In 2025, peak engagement was almost entirely confined to working hours — things fell off pretty sharply once 5 p.m. hit. This year, we're seeing those peak windows shift later into the day, which mirrors what's been happening on Instagram and TikTok for a while now.

Late afternoon and evening hours are now pulling some of the strongest LinkedIn engagement numbers we've seen. People are still showing up for professional content; they're just doing it after they've closed their laptops for the day.

But I'm getting ahead of myself. Let's get into the data.

Key takeaways

• Peak hours: Late afternoon and evening hours (3 p.m.–8 p.m.) now drive the highest engagement on LinkedIn, although some days have high-performing slots later in the evening.
• Top slots: Wednesday at 4 p.m., Friday at 3 p.m., and Friday at 4 p.m. are the highest-performing times.
• Best day: Wednesday is the best day to post, closely followed by Thursday and Friday.
• Early-week dip: Monday and Tuesday see the lowest engagement; save your best content for mid-to-late week.

Is there a best time to post on LinkedIn?

Yes, our data shows that when you post on LinkedIn can meaningfully impact how much engagement your content gets. That said, as even LinkedIn's own marketing blog points out, timing research isn't a black-and-white science, and every audience is a little different.

After analyzing more than 4.8 million LinkedIn posts sent through Buffer, we were able to pinpoint some clear posting windows when content tended to get higher engagement than others.

Your LinkedIn content is more likely to get engagement in these windows, whether you're looking to grow a LinkedIn Page for a brand or your own personal brand with a LinkedIn profile.

Engagement is a particularly useful benchmark when it comes to identifying the best time to post on LinkedIn. The platform’s algorithm uses interactions (reactions, comments, and reposts) as signals to help it decide which posts are valuable and should be shown to more people.

In other words, the more engagement your post receives, the more people will see your post. It's a simplified way of putting things since loads of factors determine how posts are ranked, but it’s a solid rule of thumb. Engagement is one of many signals LinkedIn can use to determine which content is relevant and worth surfacing to more people. So while strong engagement doesn’t automatically guarantee more reach, the two can influence each other.

This is why we consider time slots in which posts got the highest engagement to be the best time to post on LinkedIn.

But (and here's the rub) every target audience is different.

As I always do in these articles on the best time to post on social media, I advise experimenting with your schedule as part of your LinkedIn marketing strategy, then digging into your social media analytics to uncover your unique best time to post and make the most of the LinkedIn algorithm.

We'll get into how to do that below.

First, here's a deep dive into Buffer's data on the best time to post on LinkedIn in 2026.

The best time to post on LinkedIn for engagement

The best time to post on LinkedIn for high engagement is generally during late afternoon and evening hours, between 3 p.m. and 8 p.m. on weekdays. Posts shared at 4 p.m. on Wednesday and at 3 p.m. and 4 p.m. on Friday tend to get the most engagement overall.

You can see it all pretty clearly in the graph above. It breaks down the week into hourly chunks, where the darkest blocks are the time slots with the highest engagement (and the best time to post on LinkedIn), and the light to white blocks are the time slots with the lowest engagement.

The shift toward evening engagement on LinkedIn looks a little different from what we saw in 2025, when the best posting times were exclusively within working hours.

Even so, behavior is shifting. People are increasingly engaging with LinkedIn content after they've closed their laptops, whether that's during a commute home, an evening wind-down, or a late-night scroll through industry news.

That doesn't mean midday is a dead zone, though. LinkedIn's own marketing blog notes that pockets of the workday (like the lunch break or mid-afternoon) are still moments when professionals pause to scroll. In our data, those midday hours perform decently; they're just no longer the clear peak the way they were last year.

As you'll see from the graph above, engagement picks up in the afternoon and remains strong through the evening hours. Unlike other social platforms where evening slots have always performed well, this represents a notable shift in LinkedIn behavior.

Posts shared during traditional morning hours (6 a.m.–11 a.m.) now tend to see lower engagement compared to afternoon and evening slots.

The best times to post on LinkedIn by day

🌍 Wait, what time zone? To make this data easier to understand, our data scientist has normalized posting times by local time zone. So if the recommended time is 4 p.m., you can treat that as 4 p.m. in the time zone you’re targeting. There’s no need to convert from a single reference time zone.

The best time to post on LinkedIn on Monday

The best time to post on LinkedIn on Monday is 10 p.m., as professionals catch up on content after their workday. If you're looking for more Monday slots to add to your posting schedule, LinkedIn posts shared at 5 p.m. and 9 p.m. also saw higher engagement than the rest of the day.

Monday overall tends to see lower engagement compared to midweek, so consider saving your highest-priority content for Wednesday through Friday.

The best time to post on LinkedIn on Tuesday

The best time to post on LinkedIn on Tuesday is 4 p.m., as users begin wrapping up their workday and checking their feeds. If you need more posting times to choose from, 5 p.m. is not far off in terms of engagement, as is 10 p.m.

Like Monday, Tuesday sees slightly lower overall engagement, so test these times with your audience before locking in a regular Tuesday schedule.

The best time to post on LinkedIn on Wednesday

The best time to post on LinkedIn on Wednesday is 4 p.m. This is actually one of the highest-engagement time slots of the entire week. Other top posting times for Wednesday are 3 p.m. and 5 p.m., giving you a solid afternoon-to-early-evening window.

Wednesday is your best day overall for LinkedIn engagement, so this is a great day to share your most important content.

The best time to post on LinkedIn on Thursday

The best time to post on LinkedIn on Thursday is 5 p.m. Posts shared during the late afternoon and evening hours tend to perform well, so this time is definitely worth adding to your content calendar. If you need more times on Thursday, 7 p.m. is also strong, and 9 p.m. is worth considering for reaching users who engage later in the evening.

The best time to post on LinkedIn on Friday

The best time to post on LinkedIn on Friday is 3 p.m., right as professionals are starting to wind down their week. Other strong contenders for your posting schedule are 4 p.m. and 5 p.m.

Friday is one of your strongest days for engagement, and definitely worth keeping in your rotation.

The best time to post on LinkedIn on Saturday

The best time to post on LinkedIn on Saturday is 9 a.m. Posts shared on Saturday tend to see less engagement on the platform than most weekdays, so consider scheduling your content for a weekday instead. If you must post on Saturday, our data showed that 9 a.m. tends to get the highest engagement, followed by 6 p.m. and 10 p.m.

The best time to post on LinkedIn on Sunday

The best time to post on LinkedIn on Sunday is 10 p.m. Still, content shared on Sundays sees lower engagement compared to weekdays, and this slot is definitely not your best option if you're hoping to boost post interactions. If Sunday works better for your schedule, late evening is your best bet. Other times to consider are 9 p.m. and 6 a.m.

The best day to post on LinkedIn

The best day of the week to post on LinkedIn is Wednesday. We found that posts shared on Wednesday tended to get the most engagement, closely followed by Thursday, then Friday.

Anecdotally, this mid-to-late week pattern makes sense. By Wednesday, professionals are fully engaged with their work week and actively seeking valuable content, but they're not yet in weekend mode.

Monday and Tuesday, on the other hand, showed the lowest engagement in our data. Monday sees the weakest numbers of the week, with Tuesday not far behind.

It's worth noting that not all research agrees here. LinkedIn's marketing blog highlights studies where Tuesday is actually one of the most active days on the platform. This is a good reminder that results can vary depending on the dataset, audience, and industry, so it's worth testing early-week posts with your own followers before writing those days off entirely.

The heads-down work theory still holds, though: if your audience tends to be deep in tasks on Monday and Tuesday, mid-to-late week is likely your better bet.

Get the best times to post on LinkedIn right in Buffer

With Buffer, you can have your posting schedule automatically set to the best times. That goes for all the other channels that Buffer supports, too. They'll appear as posting slots in your queue and calendar, making it super easy for you to schedule posts at the best times.

It'll take you less than a minute to set up:

1. Select LinkedIn on your channels list on the left.
2. Click on the settings (gear) icon above the calendar.
3. Scroll to Posting Schedule and under Posting Slots, click the Generate New Posting Slots button.
4. Then Use Recommended Posting Slots.

The schedule will automatically update to include the best posting times for the week, based on our latest analysis of millions of LinkedIn posts.

The next time you schedule a post, you can click one of these high-engagement slots in your calendar or list view, or just hit Next available to add it to the next available slot.

How to find the best time to post on LinkedIn for your audience

The optimal timings above can form a helpful guide if you're just building your LinkedIn social media marketing strategy. Still, they're no substitute for figuring out your own best time to post.

The native LinkedIn Analytics will surface your top-performing posts over a specific period for both pages and profiles, which might allow you to pinpoint some patterns and figure out your personal best time to post on LinkedIn.

However, you'll need a record of exactly when you posted a specific piece of content (like a social media management tool or social media content calendar) to refer back to.

LinkedIn Analytics won't show you detailed timings on published content after the fact. The best the LinkedIn timestamp will tell you is "3h" or "2d" (to indicate you posted the content three hours or two days ago, etc.)

With Buffer, as mentioned above, you can automatically set recommended times for LinkedIn and your other social media platforms. These times appear as posting slots in your queue and calendar.

Best time to post on LinkedIn FAQs

Here are some of the most commonly asked questions about when to post on LinkedIn.

Does the time you post on LinkedIn actually matter?

Our data, based on over 4.8 million LinkedIn posts, shows that yes, timing does make a difference. Posts shared during high-engagement windows (particularly late afternoon and evening hours on weekdays) consistently outperformed those posted at off-peak times.

Remember, timing isn't a magic fix. Posting at 4 p.m. on a Wednesday won't rescue a post that isn't relevant or valuable to your audience. Think of the top posting times as a helpful boost on top of a solid content strategy, not a substitute for one.

The good news? Acting on timing data is easier than ever. LinkedIn now lets you schedule posts directly within the platform, and tools like Buffer can automate your posting schedule based on high-engagement time slots so you don't have to remember to hit publish at exactly 4 p.m.

When is the worst time to post on LinkedIn?

Based on our data, the lowest-engagement windows are early in the week. Monday and Tuesday tend to underperform compared to mid-to-late week. Morning hours (before noon) also see weaker engagement now that late afternoon and evening have shifted to the top of the heatmap.

Weekends are generally quiet too, though Saturday at 9 a.m. and late Sunday evening can still see some activity. If you have a post you really want to perform, don't bury it on a Monday morning; save it for Wednesday through Friday instead.

What is the "golden hour" for LinkedIn posts?

The “golden hour” is a popular term for the period shortly after a LinkedIn post goes live, when early engagement may help build momentum. There’s no official 60- or 90-minute window confirmed by LinkedIn, though. LinkedIn has said that early engagement signals can influence how widely content is distributed, so publishing when your audience is likely to be active may still give your post a stronger start.

Is LinkedIn engagement higher in the morning or evening?

Our latest data shows that evening hours now outperform mornings on LinkedIn. Posts shared between 3 p.m. and 8 p.m. on weekdays consistently see higher engagement than those shared in the morning — a notable shift from what we saw in previous years, when traditional work hours dominated.

The theory? Professionals are increasingly catching up on LinkedIn content after work, during their commute home, or while unwinding in the evening. Our data can’t tell us why the change is happening, though, only that later posting times performed particularly well in this analysis.

What's the best time to post on LinkedIn on weekends?

If you need to post on a weekend, Saturday at 9 a.m. is your best bet. Sunday late evening (around 10 p.m.) also shows some activity. However, both days see significantly lower engagement than weekdays, so if you have flexibility, it's worth holding your content for midweek (Wednesday through Friday), when engagement is at its strongest.

Do these posting times apply to my time zone?

Yes, our data scientist has crunched the numbers so that the recommended times are universally applicable. You don't need to convert anything. Whether you're posting from New York, London, or Mumbai, 4 p.m. means 4 p.m. in your local time zone.

How often should I post on LinkedIn?

Posting frequency is a separate (and equally important) question from timing — and we have data on that too. Buffer analyzed over 2 million LinkedIn posts to figure out the sweet spot, and the findings are pretty clear.

Posting 2 to 5 times per week is where most creators and brands should start. That cadence alone delivers around 1,182 more impressions per post and a 0.23 percentage point lift in engagement rate compared to posting just once a week, which is the point where LinkedIn's algorithm seems to recognize you as active and starts distributing your content more widely.

If you can sustain it, posting 6 to 10 times per week pushes those gains further (+5,001 impressions per post), and at 11+ posts per week the lift is dramatic: Nearly 17,000 more impressions per post and three times as many engagements. The good news is that these results hold regardless of your audience size, whether you have 500 followers or 50,000.

What type of content performs best on LinkedIn?

According to our data, carousel (document) posts generate up to 596% more engagement than text-only posts, making them the standout format on the platform right now. Beyond format, content that offers genuine insight, professional value, or a unique perspective tends to do well on LinkedIn. For a deeper look at what's working, check out our guide to the LinkedIn algorithm.

More LinkedIn resources

• Replying to Your Comments on LinkedIn Boosts Engagement by 30%
• LinkedIn Marketing in 2026: The Complete Guide for Businesses and Creators
• Types of Social Media Content: 30+ Ideas for Your Next Post (With Examples)
• I Reached 20,000 Followers on LinkedIn and I Feel Weird About It

I picked up video as a format in 2023, when I was trying to build a consistency habit. Looking at that early content now, I'm surprised it got me as far as it did. That probably says more about the power of video than it does about my editing!

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It's one thing to say you're going to post videos and another to do it. First, you have to get over the hurdle of setting up your camera, whether that's your phone or a more specialized device. Then you have to learn to speak coherently on camera, and one pass at filming will make you feel like you've forgotten all the words in human existence.

And once you finally have a rough cut, you face an even bigger hurdle: editing.

If you're fortunate enough to have someone in your ecosystem who can edit for you, never let them go. But starting out usually means doing everything yourself.

Editing is the task I still struggle with most. My taste in videos and my bar for quality sit far above my skill level. I'm closing that gap slowly (and gaining an expensive love for cameras in the process), but I'm not all the way there. I'm also not at the point where I can fully outsource it.

This is where AI video editors come in. I tested 7 of them to figure out which ones can contribute meaningfully to my process. Here’s what I found

What is an AI video editor?

There are two types of AI video editors. The first is AI-enabled editors, which are traditional video editors with AI features built in. The second is AI-led editors have you hand over the timeline and do the work for you.

Of course, the distinction gets blurry — ”AI video editor" is doing a lot of heavy lifting as a label right now. In my testing, every tool that claims it falls into one of two camps, with a little overlap here and there. Knowing which one you're looking at will save you from paying for the wrong thing. Let's take a closer look:

AI-enabled video editors

AI-enabled editors are regular video editors that have AI features. These are your Capcuts, Adobe Expresses, and Veeds. You're still the one working the timeline, but the AI takes over certain specific jobs: generating captions, cutting filler words, cleaning up background noise, reframing horizontal footage for vertical feeds. If you already know your way around an editor (or want to learn), these make you faster.

AI-led editors

AI-led editors do the actual editing for you, based on your plain-language instructions. You describe what you want ("cut the pauses, caption this, and pull the best 30 seconds for a reel") and an AI agent executes the edit. You review, adjust, and export. Vyra was built this way from the start, and OpusClip has worked this way for repurposing long before "agentic" became a thing.

The two categories are more of a Venn diagram than a list, though. Descript is the clearest example of the overlap: it's a transcript-based editor with an AI co-editor (Underlord) inside the app, and since May 2026, you can also connect it to Claude via MCP and run edits without opening Descript at all.

💡 MCP (Model Context Protocol) is a standard that lets AI assistants like Claude or ChatGPT connect directly to other tools. In practice, it means you can sit in a chat window, tell an AI to edit your video in Descript or Vyra, and it will.

Which camp to join depends on how much control you need or want over your editing. If your bar for quality means you'll be adjusting every cut anyway, an AI-enabled editor keeps you in control. If your bottleneck is time (or, like me, the gap between your taste and your skill), the AI-led camp is the one that could dramatically change your output.

How to use AI video editors

When it comes to using AI to edit videos, I learned the same lesson while testing AI image generators: the tools are no longer the bottleneck. Knowing what to ask for is.

Natural language editing sounds like it removes the need to understand editing. It doesn't. When you're describing an edit in plain English, knowing the terminology of what you're looking for will save you a lot of time, energy, and re-prompting. The AI can execute "add a J-cut into the b-roll" in one pass. "Make the transition feel smoother somehow" will just send you both into a spiral.

Learn the lingo (it gets you 50% of the way there)

You don't need to have gone to film school. A handful of terms will carry most of your edit briefs:

• Shot types: close-up, medium, wide, extreme wide. Learn when to use each one.
• Composition: rule of thirds, golden ratio, headroom, leading lines
• Cuts: jump cut, J-cut, L-cut, match cut, cutaway
• The workhorses: b-roll, lower thirds, hook text, safe zones, pacing

The difference shows up immediately. Compare "make the intro punchier" with "cut the first four seconds, open on the medium shot, add hook text in the top safe zone." The second version will come back closer right the first time.

Build an inspiration library

Study the creators you enjoy and the films you love as closely like they’re a textbook. When a video holds your attention, save it and write down why: where the video cuts, how long each shot ran for, how the use of text made you pay attention. Your library becomes two things at once: a source of vocabulary and a reference you can point an AI-led editor at when words fail. "Pace it like this" plus a link beats a paragraph of adjectives.

Sweat through a few edits yourself

The fastest way to learn the vocabulary is to create the effects yourself a few times. Editing two or three videos manually — even badly and slowly — teaches you what it feels like. It might be a placebo effect, but I think the terms stick for me because I've fumbled through the manual process myself. And the knowledge will not be wasted. Doing this will also come in handy if you choose to outsource to a human since you can direct a lot better when you have walked in their shoes, so to speak.

⚡ A brief template to steal: [what to cut] + [what to add] + [format and platform] + [style reference]. Example: "Remove filler words and silences over one second. Add captions and a hook line. Reframe to 9:16 for Reels. Keep the pacing tight, like the reference clip."

The 11 AI video editors I tested

There was no single way to test and compare every tool on this list that wouldn’t take a million hours, but I did test them out with the same clip. While it’s harder to show via screenshots how each tool operated, I took lots of notes to get you the most accurate breakdown.

I've also grouped them by camp, with AI-led first and then AI-enabled.

Let’s get into it.

Vyra

Best for: Handing the whole edit to an AI and only opening the timeline when you want to

Unlike many other AI video editors, Vyra wasn't retro-fitted with AI features. It was built that way: the editor is effectively a chat window, rather than a toolbar of different AI features.

When you upload footage, it analyzes every clip first, detecting scenes, transcribing speech, identifying what's in frame, so that when you describe an edit, the AI is working from what's in your footage rather than guessing. Even more crucially, you can upload reference videos for the AI to model the edit after: an incredible ability since that’s the way most of us start, by copying.

What sets it apart from in-app assistants is that you can use your own AI. Vyra supports MCP, so you can connect Claude, ChatGPT, or your preferred LLM to search your clips and apply edits directly. I gave Vyra an 81-second talking-head and gave Claude a simple brief to connect to Vyra's MCP as well as a reference video to model after. It analyzed the footage and quickly got to work.

It’s important to note that Vyra is not without limitations. Editing files in the cloud takes time that could be saved with a tool that provides local folder access.

All told, it took about 20 minutes to get a finished product. While that’s not terrible, it’s important to note that this was without it adding any b-roll or music. It takes me around 30 minutes to finish editing a video in my current style (which is admittedly very simple).

The video turned out great in my opinion. It cut in all the right places, added captions and because my requests were pretty simple and I included a reference video, the results were solid.

I was also able to go in and add in the aforementioned b-roll and music touches

I could see this being most useful for first and final touches: things like cutting a video at the start, and then after adding in all the extra b-roll or graphics, adding captions and flairs. These are things that would otherwise take extra time that may be time-consuming or not worth the effort but are mice to have.

Price: Free trial; paid plan starts at $24 if you’re connecting your own AI and $54 per month if you’re using Vyra’s AI

Stanley Studio

Best for: The fastest way to get footage into an editor — with a video that needs some last-mile editing

Stanley Studio has the purest AI-led pitch on this list: drop in clips, brief it like a human editor, never touch the timeline. It's from the same team as the Stan Store folks, and it just launched as I was planning this article.

In my testing, it won exactly one category outright: upload speed. Getting footage in was faster than with any other tool here, taking only about 5 minutes for a 350-megabyte file.

However, the edit was where things unraveled a bit. I uploaded a reference video for the text and caption style, and it picked up on things like colors and fonts, without quite nailing the style, which was what I was after. It also didn't cut my repeated takes and the pacing stayed slack when I'd asked for snappy. Most telling was that where my video needed screenshots and cutouts of the products I was talking about, Stanley generated AI images of them instead.

In fairness, my test was heavy on overlays, much tougher than a simple talking head, and so I'll be retesting with simpler footage on my own time. It’s also much newer, so it needs time to ramp up the improvements (I tested this tool last minute).

A final note is that, unlike Vyra and Descript, Stanley has no MCP: the only AI you can brief is its own in-tool chatbot. If you want your own assistant running the edit, this isn't the tool (yet).

Price: Free tier to work on one project; $19/month after that

Descript

Best for: Speech-heavy video and the clearest tool with an AI-enabled/AI-led overlap

Descript is an interesting entry because it covers all three of the core AI video editor categories.

The core editor is transcript-based: delete a sentence from the transcript, and the footage disappears from the timeline. Underlord, its in-app co-editor, handles multi-step requests — filler removal, Studio Sound cleanup, captions, pulling social clips from long recordings.

Then there's the third mode, as of May 2026: Descript's hosted MCP server. Connect it to Claude, and you can import media, run Underlord edits, and export a finished video to a shareable link without opening Descript at all.

I ran the MCP test on the same footage as the other AI-led tools. One prompt came back 64 seconds lighter: it cut my false starts and repeated takes (keeping the better delivery each time), compressed six pauses, captioned the whole thing in an Instagram Reels-native style, and wrote its own hook line. I'd told it to leave my original composition untouched, and it did, editing a duplicate instead.

I’d say Descript got me 40% of the way to a complete video. Since there’s no way to add a reference video like some of the other tools on this list, it’s hard to get returned edits in my style. With some manual tweaking, I can take the video to completion, but it’s something to keep in mind.

The crisp edits you see on most Instagram/TikTok content still isn't its forté. If your videos aren’t speech-heavy, like podcast clips or cuts from a YouTube video, you might not get exactly what you want from this. It’s still a great tool for the first (and sometimes most tedious) part of editing: cutting and trimming.

Price: Free plan with limited credits; then $35/month

CapCut

Best for: The default choice when you want AI assists without leaving the editor you already know

CapCut is kind of a jack-of-all-trades that sits firmly in the AI-enabled camp. It's still a timeline editor at heart, with an AI toolkit layered on top. And that toolkit is full: speaker-ID captions, camera tracking, vocal isolation, background removal, and a script-to-video feature that can write, sources stock footage, captions, and syncs to trending audio from a single prompt.

It also has a built-in AI editor feature that you can request things like cuts or transitions from called EditPilot.

It’s my tool of choice because it’s just that easy to start with. If you’re a beginner who wants AI capabilities but in a tool you can find a million tutorials for, this is the one for you.

However, the AI features are scattered across menus rather than gathered behind one instruction — you need to know each tool exists to use it.

Price: Free plan; with paid plans starting at $9.99/month

Canva

Best for: Editing video inside the tool where your social content already lives

Canva is where I do nearly all of my visual design work, so it’s a solid option just for that. If your carousels, covers, and graphics already live here, editing video in the same place with your brand kit, fonts, and templates one panel away is a serious advantage no dedicated editor can offer.

As an editor, it's firmly AI-enabled. Magic Video assembles a 60-second cut from your clips and photos with templates, transitions, and music, and everything stays editable afterward. Auto-captions, background removal, and beat sync cover the standard toolkit found in many of the more robust tools on this list. And the generative side (Magic Media, now powered by Google's Veo 3) is there too.

I’ve tested it out for video editing a few times, and while I still much prefer to do video editing in my usual apps, it works just fine. If you already use Canva and don’t want to add on multiple other subscriptions, this is a good one to try.

AI features draw from a monthly credit pool with no top-ups available — heavy users report running dry in the first two weeks, then waiting for the reset.

Price: Free plan with limited AI; paid plans start at $14.99/month (although Canva does use

Adobe Express

Best for: People already in the Adobe ecosystem

Adobe Express and Canva fall into the same boat for me. They prioritize design tools first, with video editing capabilities specific to social channels layered on top. Express is AI-enabled in the classic sense: you're working in a template-and-canvas editor, and the AI handles specific jobs when you call on them.

It generates captions from your audio, and you can restyle the font, colors, and shape to match your brand rather than settling for a stock look. And the Clip maker does a lightweight version of what OpusClip charges for: upload a longer video and it splices out short, captioned clips of the best moments.

Because it's Adobe, Express also comes with Firefly baked in for generative work, and it hands off to the rest of the ecosystem (Premiere for serious timelines, Adobe Podcast for audio cleanup) if you outgrow it.

Price: Free plan; paid plans start at $9.99/month

Riverside

Best for: Podcasters and interviewers who want the AI editor living where the footage is recorded

Riverside is a remote recording studio first. Co-Creator, its agentic editor, works on footage the platform captured itself — separate speaker tracks, local recording quality, transcripts from the start. You prompt it in plain language to clean audio, cut filler and silences, add AI b-roll, or pull social clips, and it can dub your video into another language with lip-sync to match.

Co-Creator is included in paid plans rather than sold as an add-on, though some features (AI translation, AI b-roll) draw from a monthly credit allowance.

If you're not recording in Riverside, you're importing footage into a tool built around its own recordings — at that point, Descript or CapCut fits the workflow better.

Price: Free plan; paid plans start at $29/month

Veed AI

Best for: Browser-based editing that covers the whole job without a learning curve

Veed is an AI-enabled all-rounder: transcription, captions with translation, eye-contact correction for scripted reads. Its transcription is also the most accurate among all tools on this list.

The free plan caps exports at 10 minutes per month with a watermark, if you want to test it out. AI features also draw from a credit allowance, so heavy use is capped even on paid plans.

Price: Free plan (10-minute monthly export cap, watermarked) with paid plans starting at $12/month.

OpusClip

Best for: Turning one long video into several short-form videos

OpusClip is AI-led for a single job: repurposing. You hand it a long video, and its ClipAnything model runs through four items — visual cues, audio sentiment, facial expressions, and narrative structure — to find the moments worth clipping. Each clip comes back with a hook, captions, and a virality score estimating how it'll perform on TikTok, Instagram Reels, or YouTube Shorts.

It won’t do what the first three tools on this list do. OpusClip doesn't want editing instructions; it wants long footage and a goal. The tradeoff is less control over individual cuts but with more finished clips per hour of your time. You can also tweak the output quite a bit (on the paid plan, of course) to get something that very closely matches your preferred style.

One important note is that if you have CapCut Pro or pay for Adobe Express, then you can get the same feature as OpusClip’s main offering.

Price: Free plan (60 processing minutes/month); paid plans start at $15/month

💡 And if you want finished Instagram Reels without ever meeting a timeline, template-first apps like Templify will get you there — pick a template, drop in clips, export. Just know that's templates doing the work, not AI.

A note on AI video generation

There are tools out there that will also generate video for you now, including some on this list. You could get text-to-video from a prompt, AI avatars that look just like you to read your script, or b-roll to cover your cuts. I don’t use those tools, which is why they’re not recommended in this list.

If generated b-roll or avatar presenters fit your workflow, several tools here offer them (CapCut's text-to-video, Riverside's AI b-roll), so test them out to see what works best for you.

The gap these AI video tools close

After all this testing, editing is still the part of making videos I struggle with most. But I could see a lot of these tools cutting down the time I spend struggling through.

Where certain things would take me an hour, I could cut my workflow down by 15 to 25 minutes just by having my clips pre-trimmed and focusing on the fun parts like what text to put on the screen or what meme to use for which clips.

If you're starting from zero: pick the camp that matches your current workflow, choose one tool from it, and try out editing one video with it this week. You'll learn more from that than from any roundup, including this one.

More AI video editing resources

• The 9 best AI image generators of 2026
• 14 AI tools for social media content creation
• The top 10 AI writing tools I recommend as a professional writer

Ready to put your finished videos to work? Get started with Buffer for free and schedule them across TikTok, Reels, and Shorts.

FAQs

What is the best AI video editor?

Vyra was the most consistent performer in my testing across the same footage and the same editing brief. The honest answer depends on which of the two camps you need, though: AI-enabled editors like CapCut and Veed make you faster inside a traditional timeline, while AI-led editors like Vyra and Descript's Underlord execute edits you describe in plain language. Start by deciding how much of the edit you want to keep doing yourself.

What's the difference between AI-enabled and AI-led video editors?

AI-enabled editors are traditional video editors with AI features built in — you work the timeline, and the AI handles specific jobs like captions, filler-word removal, and reframing. AI-led editors reverse the relationship: you describe the edit in plain language, and an AI agent executes it, leaving you to review and adjust. Some tools are both: Descript has a full manual editor, an in-app AI co-editor, and an MCP connection that lets an outside AI run it.

Can AI edit a video from a text prompt?

Yes. Tools like Vyra and Descript's Underlord accept plain-language instructions ("remove filler words, add captions, reframe to 9:16") and execute them on your actual footage. In my testing, the quality of the result depended more on how precisely I described the edit than on the tool — knowing terms like jump cut, b-roll, and safe zones got usable results in one pass.

What is MCP, and what does it have to do with video editing?

MCP (Model Context Protocol) is a standard that lets AI assistants like Claude and ChatGPT connect directly to other software. For video, it means an AI assistant can open your project, search your footage, and run edits in tools like Descript or Vyra without you touching the editor. I tested this while writing this article — Claude ran my caption brief in Vyra from a chat window.

Are AI video editors free?

Most offer a free tier, but the limits vary a lot. CapCut and Riverside have workable free plans; Veed's free tier caps exports at 10 minutes per month with a watermark; and OpusClip's free clips expire from storage after three days. Expect to pay $10–$29 per month for the AI features that save real time.

Will AI replace video editors?

Not on the evidence of my testing. The AI handled the mechanical work like cutting silences, captioning, and reframing. What it can't supply is the taste: knowing what the video should feel like, which take is the better one, and when a pause is dead air versus a beat. So don’t worry: humans here still have a job, just a slightly easier one.

While it's always a good time to watch TikToks, figuring out the best time to post on TikTok is a little more complicated.

And yet, knowing when to post can make a real difference for content creators and small business owners alike. After all, creating TikToks is tough work (trust me, I know), so it makes sense to give your content the best possible shot when you hit publish.

That's why we analyzed Buffer's data of more than 7.1 million videos, carousels, photos, and text posts to pinpoint exactly when posts tend to get the most engagement on the platform. And we found some patterns.

In this guide, I'll unpack them all: the best times to post, the best day of the week, and which hours are best avoided. Plus, I'll help you find the best time to post on TikTok based on your target audience and goals. Hopefully, this gives you a stronger foundation for deciding when to hit publish and a better shot at getting your content in front of the right people on For You Pages.

Key takeaways

• Peak posting time: The single best time to post is Sunday at 9 a.m., followed by Monday at 1 p.m. and Sunday at 1 p.m.
• Best day: Saturday is the top-performing day for TikTok engagement, with Monday and Sunday following close behind.
• Evening advantage: Engagement generally peaks during evening hours (6 p.m.–11 p.m.), with afternoons (12 p.m.–5 p.m.) showing the lowest engagement across most days.
• Personalize your data: Use TikTok Studio Analytics (Followers tab) to find when your specific audience is most active.

Let's dive into what the data shows about the best times to post on TikTok in 2026.

Is there a best time to post on TikTok?

There isn't one "magic" best time to post on TikTok for every creator, but our study of 7.1 million posts shows clear standout times to try.

To put these numbers together, we looked at the median engagement rate across 7.1 million posts published through Buffer.

These numbers helped us pinpoint some pretty clear patterns in the times of TikTok posts that tend to perform well compared to those that don't.

Why does posting time matter on TikTok?

It comes down to how the TikTok algorithm works. When you publish a TikTok, the platform uses a range of signals to decide who may be interested in it and how widely to recommend it. User interactions (including whether people watch, like, share, comment on, or skip content) can influence those recommendations.

If that initial group engages, TikTok takes it as a signal that the content is worth pushing to a wider audience on the For You Page. If they don't, the video's reach stays limited.

Posting when your audience is active may give your content a better chance of earning engagement early on, though timing is only one of many factors that can influence performance. If your video lands when people are already scrolling, it's more likely to pick up that early engagement boost — and that's what TikTok needs to show it to more people.

But before we dig into our data, an important caveat: There is no universal best time for TikTok that will work for every video on the app. If only it were that easy.

Your ideal posting time depends on your target audience (your audience's location, timezones, and their behaviors), which is why I'll walk you through analyzing your own TikTok data to figure out the best time to post on TikTok for your target audience later in this article.

That said, our data from 7.1 million posts does show clear patterns in when content tends to get more engagement. Our take? Timing isn't a magic bullet, but it can give your content a better starting position, especially when paired with a strong hook and content your audience actually wants to watch.

Experiment with these slots to help you maximize your content potential while growing your following. If you're not sure when to post your content, using our data is a great place to begin.

The best times to post on TikTok

According to our data, the best time to post on TikTok is Sunday at 9 a.m., followed by Monday at 1 p.m., and Sunday at 1 p.m.

Videos, carousels, and text TikTok posts shared during those times tended to get the most engagement of the week, though other slots weren't far behind.

🌙 Generally speaking, engagement tends to pick up in the evening hours, with peak time slots between 6 p.m. and 11 p.m. Afternoons (12 p.m.–5 p.m.) tend to see lower engagement across most days, though there are pockets of activity worth noting, particularly around lunchtime.

This makes sense when you think about how people consume TikTok. Unlike text-based platforms that you can quickly scan during a meeting, short-form video demands active, sound-on attention. That's something people are more likely to give during a lunch break, on their commute home, or while unwinding on the couch in the evening.

This heatmap shows patterns in the best time to post on TikTok by hour and day. The darkest blocks are the time slots with the most engagement (the best time to post), and the light to white blocks are the time slots with the lowest engagement (times that are probably best avoided).

The best time to post on TikTok at a glance

In general, evenings and weekends tend to deliver the best results.

Here's a quick look at the best time to post on TikTok every day of the week. The posting times below are listed in order of performance (so the first time mentioned is the best time for that day, and so on).

The best time to post on TikTok on Monday

The best time to post on TikTok on Monday is 1 p.m., closely followed by 11 a.m., then 8 a.m., according to Buffer data. Monday is one of the strongest days of the week for TikTok engagement, making it a great option if Saturday doesn't work for your schedule.

⏰ When to post on TikTok on Monday: 1 p.m.

The best time to post on TikTok on Tuesday

The best time to post on TikTok on Tuesday is 6 a.m. Videos posted at 10 p.m. received the second-highest median engagement, followed by 7 a.m., so add those into your TikTok posting schedule, too.

⏰ When to post on TikTok on Tuesday: 6 a.m.

The best time to post on TikTok on Wednesday

On Wednesdays, the best time to post on TikTok is 10 p.m., closely followed by 6 a.m., then 9 p.m. Wednesday tends to be quieter overall, so if you're being selective about when you post, you're likely to see stronger results if you post on Saturday or Monday instead.

⏰ When to post on TikTok on Wednesday: 10 p.m.

The best time to post on TikTok on Thursday

The best time to post on TikTok on Thursday is 1 p.m. Videos posted at 10 p.m. received the second-highest median engagement, closely followed by 6 a.m. Like Wednesday, Thursday tends to see lower engagement overall.

⏰ When to post on TikTok on Thursday: 1 p.m.

The best time to post on TikTok on Friday

On Friday, the best time to post on TikTok is 6 p.m. There is another solid posting time at 10 p.m., then 8 p.m.

⏰ When to post on TikTok on Friday: 6 p.m.

The best time to post on TikTok on Saturday

Saturday is the strongest day on TikTok overall, with clear optimal times worth noting. The best time to post on TikTok on Saturday is 5 p.m., followed by 4 p.m., then 3 p.m. That afternoon-to-evening window makes Saturday a great day for batch-creating and scheduling content ahead of time.

⏰ When to post on TikTok on Saturday: 5 p.m.

The best time to post on TikTok on Sunday

The best time to post on TikTok on Sunday is 9 a.m., which is the single best time to post throughout the entire week, so it's worth adding this slot to your regular TikTok posting schedule. Other strong times to post on TikTok on Sunday are 1 p.m. and 12 p.m. This is a great time to use scheduling tools if you prefer to keep weekends free.

⏰ When to post on TikTok on Sunday: 9 a.m.

This is where social media scheduling tools like Buffer shine. Experiment by systematically going through the times on the list above, scheduling a TikTok, and tracking its performance to see what works best for your specific audience.

The best day of the week to post on TikTok

The best day of the week to post on TikTok is Saturday. Overall, videos, carousels, and text TikTok posts shared on Saturday tended to perform the best.

Monday comes in second place, followed closely by Sunday.

It's worth noting that not all studies agree on this. Other studies have found stronger engagement on different days, which highlights how much results can vary by audience, dataset, and methodology. Use our findings as a starting point, then compare them with your own analytics.

How to find your best time to post on TikTok

As always, these times are a starting point; your audience might behave a little differently.

1. See when your TikTok followers are most active

1. Open your TikTok profile and tap TikTok Studio (just under your bio).
2. Inside Studio, look for the Analytics card and tap View all.
3. Choose the Followers tab, then scroll to Most active times.

In this TikTok analytics section, you'll find a retrospective overview of when your TikTok account followers were most active on the app over the past week.

2. Look for patterns in your peak posting times

It's worthwhile spending some time noting down your audience's most active times over the past few days. Look for patterns.

⚡ Pro tip: I suggest posting slightly before your followers' most active times, particularly if it lines up with one of our recommended times above.

3. Consider your own posting schedule

A simple posting schedule or even a rough content calendar can take a lot of the mental overhead out of showing up consistently. When you're not scrambling to figure out what to post and when, it's much easier to actually do it.

4. Experiment with different times

Don't be afraid to mix things up. Try different posting times throughout the day and see what lands best for your audience.

Even small shifts, like posting at 6 p.m. instead of 3 p.m., can make a noticeable difference. Try a few different time slots over a couple of weeks and compare the results.

Keep in mind that your niche may influence what works, too. An educational creator might find that morning posts perform well when people are in a learning mindset, while an entertainment-focused account might see more traction in the evening or weekend when people are winding down. Let your content type guide your experiments, not just the clock.

5. Analyze your content performance

Stick to your planned posting schedule when you post on TikTok for a few weeks to give each posting time a fair trial. Use these numbers to help you find the best time to post on TikTok:

1. Views: Total number of times your video was watched
2. Likes: Total likes received
3. Shares: Number of times your video was shared
4. Comments: Total comments on your video
5. Followers: New followers gained from the post

6. Post regularly, rinse, and repeat

Can't find any patterns that point to a best time to post on TikTok? That's OK. You could stick to your current schedule when you post on TikTok a little longer if your posts are generally performing well, to gather more data. If not, I'd suggest adjusting your schedule (and checking out these tips for creating great TikTok content, too.).

If you've found some times that seem to be working? Be sure to share or schedule your posts during those times for the next few weeks.

But don't forget to add some new times to the mix. TikTok trends (and TikTok's algorithm) shift constantly, so testing new posting times every few weeks can help you stay ahead.

Get the best times to post on TikTok right in Buffer

Did you know you can access these recommended times right in Buffer? It's super handy, and really easy to set up, too.

You can automatically set these recommended times for TikTok and your other social media platforms. They'll appear as posting slots in your queue and calendar.

It'll take you less than a minute to set up:

1. Select TikTok on your channels list on the left.
2. Click on the settings (gear) icon above the calendar.
3. Scroll to Posting Schedule and under Posting Slots, click the Generate New Posting Slots button
4. Then Use Recommended Posting Times.

The schedule will automatically update to include the best posting times for the week, based on our latest analysis of millions of TikTok posts.

The next time you schedule a post, you can easily choose one of these high-engagement slots. No more guessing.

Finding your optimal times to post on TikTok

Hopefully, this guide gives you a solid starting point for finding your best time to post on TikTok and takes some of the guesswork out of the equation.

Here's a quick recap of what to do next:

• Start with the data-backed times above as your jumping-off point.
• Check your own TikTok Analytics (Followers tab → Most active times) to see when your specific audience is online.
• Experiment over a few weeks and track what sticks using views, watch time, and engagement metrics.
• Adjust and repeat — your best time may shift as your audience grows.

And if you'd rather not be glued to your phone at 9 a.m. on a Sunday, a scheduling tool like Buffer can help you show up at the right time without the hassle.

Here's to getting your content in front of more people and building a stronger online community while you're at it.

FAQ about the best time to post on TikTok

Is there really a "best" time to post on TikTok?

Technically, yes. Some posting times tend to perform better than others on TikTok. But there are two important caveats here. First, your ideal time depends on your audience. Second, even the best timing in the world can’t 'save' a weak post. The quality of your content will always be the most important factor.

That said, our analysis of 7.1 million posts shows clear engagement patterns, so while timing isn't everything, it can still give your content a helpful head start.

Do I need to adjust the posting times for my timezone?

You can use the times in this guide as a starting point regardless of where you live, as the data reflects patterns across a wide range of Buffer users around the world. If you're not sure where your followers are, check TikTok Studio Analytics to see when they're most active and which regions they're in, then plan your posting schedule around that.

Do I need to post every day at the best time?

Posting consistently matters more than posting every single day. Choose times that work for your audience and feel sustainable for you.

How do I know when my audience is most active?

Check TikTok Analytics → Followers tab → Most active times. This shows when your followers were online in the past week, which is a great clue for when to post next.

Does posting time matter if my content isn't getting views?

Timing can help, but it's rarely the main reason a video underperforms. If your content isn't getting views, look at watch time first. TikTok's algorithm uses it as a key signal to decide whether to push a video further.

Once your content is connecting with viewers, posting at a time when your audience is active gives it a better chance of gaining early momentum. Think of timing as a boost, not a fix.

If watch time is low, take a closer look at your hook, pacing, and whether the video delivers on what viewers expect.

What is the three-second rule on TikTok?

The “three-second rule” is a common creator rule of thumb: Hook viewers quickly before they scroll away. TikTok considers viewing behavior when recommending content, so giving people a reason to keep watching from the opening seconds can help.

How long should I test a posting time before deciding if it works?

TikTok performance can be unpredictable day-to-day. Give each time slot at least a few weeks so you can spot patterns instead of one-off spikes.

What if my followers live in different timezones?

Start by checking your TikTok Analytics → Followers tab → Most active times. This shows when your followers are actually online, regardless of where they live.

If your audience is spread across multiple regions, look for windows where activity peaks across groups. Early mornings and evenings (in the major timezone your audience sits in) tend to be the most reliable overlap points.

If your audience is fairly evenly split (say, between the US East Coast and the UK), try posting in the early afternoon EST, which lands in the early evening for UK viewers. It won't be perfect for everyone, but it covers a lot of ground.

⚡ Pro tip: If you post consistently, you’ll also gather more data about what resonates with your audience. So don’t overthink it: Post, track, and adjust.

Can I schedule TikTok posts?

Yes, Buffer lets you schedule or set up notification-based posting. It's a great way to show up at the right time without having to be glued to your phone.

What time are you most likely to go viral on TikTok?

No specific time guarantees a video will go viral, but timing can give your content a running start. When you post while your audience is active, your video picks up early engagement (views, watch time, shares). That early momentum is what tells TikTok the content is worth pushing to a wider audience on the For You Page.

The highest-performing times in our analysis are Sunday at 9 a.m., Monday at 1 p.m., and Saturday between 3 p.m. and 5 p.m. That said, timing is just one piece of the puzzle. A strong hook and high watch time will do more for your reach than any posting window.

More TikTok resources

• How to Schedule TikTok Posts (For Free): A Step-By-Step Guide
• 14 Ways to Get More Followers on TikTok — Tried and Tested
• How Often Should You Post on TikTok? Data From 11 Million+ Posts
• TikTok Algorithm Guide: Everything We Know About How Videos Are
• Top 250 TikTok Hashtags + How to Use Them for Growth
• How to Make Money on TikTok: 10 Ways to Earn (With or Without a Huge Following)

As a marketer, I've always wanted to be data-informed but not data-driven. I know that data on its own won't make my content stand out (originality and creativity are more important than ever!), but it can help my creative juices flow in the right direction.

Which is why I'm so glad to be writing this: we rebuilt Buffer's analytics from the ground up, and today we're launching Insights — analytics that help you figure out your next move.

Analytics is something we've wanted to re-imagine for a long time, so this one is close to my heart. I believe what we've built is powerful and unlike anything else out there. Here's how they are different.

Insights for everyone, for free

Insights is designed for everyone on social, from the solo creator checking one channel to the agency juggling a dozen client brands.

For a long time, the choice in social analytics has been a frustrating one. You either use a simple tool and accept basic data, or you pay for an enterprise platform that gives you everything except a clear answer to the one question that matters: what should I do next? Insights gives you powerful, actionable insights on the free plan, with deeper reporting on paid plans when you need it.

We felt strongly about building this because it's what our own teammates need: analytics we can act on.

Your data wherever you want it

Insights works with the rest of your stack, including AI agents. We recently launched our public API and an MCP server, so you can query your data and build with it however you like.

Your numbers aren't trapped behind our dashboard. Pull them into your own reports and tools, or hand them straight to an agent to do the heavy lifting.

Everything you need to make your next move

Here's what you'll be able to do right from Insights:

• Generate weekly takeaways: get growth tactics based on real, personalized data.
• Compare performance: See data across 10 platforms in a single view, including Facebook, Instagram, TikTok, LinkedIn, Threads, YouTube, X, Pinterest, Bluesky, and Mastodon. Insights supports both personal and business profiles.
• Change the time period with natural language: type what you want to see, "last 90 days" or "this quarter" simply works.
• Export to PDF, CSV, or markdown: whether you're handing results to a client or feeding them to an agent.
• See top posts at a glance: your best performers are easy to spot and replicate.
• Share your wins with share cards: for a well-earned humblebrag straight to social.

AI that works in the background

We've added AI to Insights, and it works like magic in the background, reading what's already working in your channels and helping you act on it. It points your own creativity in the right direction without trying to replace it. Our hope is that insights can help elevate what you're already doing.

A partner you can trust

We're an official partner to Meta, LinkedIn, X, and more. In practice, that means two things you never have to think about: your account stays safe, and you get the latest features on each platform as they roll out.

Built for where you're headed

Insights opens up a lot of new ground. Deeper reporting for agencies, cross-channel comparisons for brands, plain-language takeaways for creators who'd rather make things than read charts. Wherever you want to take your work next, the numbers to get you there are built in.

Take a look for yourself. Insights is live today at buffer.com/insights.

When I first started posting on LinkedIn consistently, I couldn’t understand why some posts were a huge hit, while others flopped. That is, until I started monitoring my social media analytics.

Suddenly, it all became much clearer: I had data that pointed to which hooks grabbed the most attention, what posting times got the most engagement, plus the ideal length for a post. Everything clicked.

The clues are out there for you, too, right in your analytics. But if you're running multiple platforms, manually piecing together insights from each one's native dashboard is a real time sink — and native analytics have some frustrating blind spots too (LinkedIn, for instance, doesn't show timestamps on past posts, which makes it really tricky to figure out your best posting times).

That's where third-party social media analytics tools come in. I've tested 11 of them for this list and organized everything by use case, so you can skip straight to what fits your needs. Creator, marketer, small business, enterprise — there's something here for everyone.

Key takeaways

• Analytics tools vs. management tools: Dedicated analytics tools focus purely on measurement. Social media management tools (like Buffer) bundle analytics with scheduling, engagement, and more. For most creators and small teams, the all-in-one option is often the best choice.
• Native platform analytics have real gaps: Most social media networks offer built-in insights, but they don't always show what you need — and if you're running multiple platforms, you'll spend a lot of time manually piecing data together. Third-party tools solve both problems.
• Prices range from free to $239+/month: Buffer, Social Status, and Tailwind offer free tiers. Rival IQ starts at $239/month. Most mid-market tools fall in the $49–$100/month range — creators and small teams rarely need the enterprise-tier options.

What is social media analytics?

Social media analytics are the metrics that show how your content performs across social platforms — data like reach, impressions, engagement rate, click-through rate, and follower growth. Tracking them tells you not just how many likes a post earned, but why it worked and what to publish next.

It answers questions like:

• Which are my best content types?
• When is my audience the most engaged?
• What kind of content gets followers talking?
• What kind of content is best for reaching new followers?

Social media analytics help you measure your performance and benchmark it against your social media goals.

You'll sometimes see this called social media data analysis, and the two are close cousins. Social media analytics are the numbers themselves — reach, engagement, follower growth. Social media data analysis is the act of digging into those numbers to spot patterns and decide what to do next.

Do all social media platforms offer native analytics?

Yes, they do. All major social media networks provide native insights within their platform. But there are a few issues when you rely solely on them:

Social media networks don't always provide the insights you need. For instance, LinkedIn doesn't show timestamps on past posts, making it tricky to understand what days and times are best to reach your audience.

Relying on native insights alone won't give you the full picture. Let's say you're running a large-scale social media campaign and using multiple social media networks. You'll have to manually cobble insights from all of them if you rely only on each channel's native insights. In contrast, on many social media analytics tools, you can gather all posts under one tab and monitor collective insights on how your campaign performed across channels.

Social media analytics software collects and helps you make sense of your performance data — so you can spend less time tracking and more time improving your social media strategy.

Analytics vs. reporting: what's the difference?

These terms get used interchangeably, but they're actually two parts of the same process. Analytics is the act of collecting and measuring data — it answers the "what happened?" and "why did it happen?" questions. Reporting takes that analysis and presents it in a clear, shareable format for stakeholders, clients, or your own team.

In practice, the best social media reporting tools handle both. They pull your raw data (analytics) and organize it into dashboards, PDFs, or branded presentations (reporting). Some tools lean more heavily into one or the other — Buffer, for instance, does both.

Knowing which you need matters: if you're a solo creator, you probably just want the analytics dashboard. If you're an agency managing client accounts, automated, white-label reporting is a game-changer.

The 4 types of social media analytics

Understanding the different types of analytics helps you know what to look for in a tool:

1. Descriptive analytics — What happened? Raw metrics like impressions, clicks, and engagement counts. Every analytics tool starts here.
2. Diagnostic analytics — Why did it happen? Why did this post outperform that one? Tools that dig into content type, posting time, and audience behavior sit here.
3. Predictive analytics — What will happen? Based on past performance, which content types will your audience engage with next? More advanced tools offer this.
4. Prescriptive analytics — What should you do? Not just predicting what will happen, but recommending the exact action to take. Some advanced tools venture here.

Most social media analytics tools focus on descriptive and diagnostic analytics, which will be exactly what most creators and marketers need. Premium tools like Socialinsider and Talkwalker push into predictive territory, but come at a (you guessed it) premium cost.

Social media analytics tools vs. management tools

There are dedicated social media analytics tools that only show insights from social media posts. And then there is social media management software that encompasses social media analytics along with scheduling posts, engaging with your audience, storing ideas, etc. This list contains options for both. But which one should you choose?

Choose social media management software if you're a creator, a one-person team, or a small marketing team managing your entire social media strategy.

Choose a dedicated social media analytics tool if you've already covered other aspects of your social media strategy (either manually or with another tool) and/or if you need specific insights about your social media efforts that a management tool can't provide.

In most cases, social media managers and creators will likely prefer one-stop social media management tools. Having everything in one place just makes life easier.

That said, there are times when standalone social media analytics tools might make more sense:

• When you need very specific insights — like competitive analysis — standalone tools often work better. Many social management tools offer competitor analysis, but a standalone tool often digs deeper and can provide more useful insights.
• When you're on a shoestring budget and managing your content calendar and social media engagement manually. Maybe you can't afford comprehensive social management software for multiple social media channels. But you might be able to swing a social media analytics tool that's a bit more budget-friendly.

What makes the best social media analytics tool?

After testing these 11 tools, here's what I looked for — and what I'd suggest you weigh when picking one:

• Platform coverage: Does it support the social networks you actually use? Some tools cover 12+ platforms; others only handle 3–4. Check before you commit.
• Ease of use: Can you find the metrics you need without a tutorial? The best tools surface key insights immediately — not behind five clicks and a custom report builder.
• Reporting capabilities: If you need to share results with a team, client, or stakeholder, look for tools with automated, customizable reports. Manual copy-pasting from dashboards is a time sink.
• Competitor benchmarking: Can you see how your metrics stack up against competitors, or are you flying blind? A nice-to-have, but something most free tools don't offer.
• Pricing transparency: Some tools don't publish pricing. I've noted this where applicable — it's worth factoring into your decision if you don't have the time for lengthy sales calls and negotiations.
• Integrations: Does it play nicely with your existing stack? Tools that connect to Google Analytics, your CRM, or your project management software save you time.
• Audience analytics: Can you see who's actually engaging (demographics, interests, and how your audience is growing) or just surface-level counts? Audience-level data can help you understand whether you're reaching the right people, rather than just more.

Quick summary of the 11 best social media analytics tools

1. Buffer

Best social media analytics tool for creators, growing teams, and agencies

I practically live in Buffer, and Insights, its social media analytics dashboard, is one of my favorite tabs. Instead of throwing a wall of numbers at you (a pet peeve of mine), it surfaces the metrics that matter and helps you work out what to do with them. Exactly what you need when you're a strapped-for-time creator, social media manager, or agency owner.

The part I lean on most is Takeaways: AI-powered observations that read your recent performance, flag what's working, point out older posts worth resharing, and even open the composer with a prompt based on what's been landing. It's the difference between staring at a chart and knowing your next move.

You also get the raw data when you want it, for a single channel or all of them at once:

• Follower growth over time
• Impressions and reach
• Engagement and engagement rate
• A Performance per Post table that ranks your posts by engagement rate, so your best content rises to the top
• Comparisons against the previous period, last month, or last year

You can filter any of it by tag to see how a content pillar or campaign performed, then export polished PDF or CSV reports (or copy your data as markdown straight into an AI tool, like Claude or ChatGPT) in a few clicks — no manual copy-pasting.

Pricing: Free plan for up to three channels, with the last 30 days of data. Historical data, custom date ranges, and exports are on paid plans, from $6 per month.

Supported social media platforms: Bluesky, Facebook, Instagram, LinkedIn, Mastodon, Pinterest, Threads, TikTok, X, YouTube

2. Rival IQ

Best social media analytics tool for large agencies

Rival IQ stands out for its in-depth competitive benchmarking, making it the go-to choice for large social media agencies. It offers deep social media analytics and other related tools — like competitor analysis and social listening — built right into its analytics platform. Instead of paying for three separate tools, you can go with one.

Their pricing is designed for social media agencies:

• You can add at least 10 companies (your clients) to your account
• If you want to add more, you can add five companies for $50 per month
• You can swap the companies whose performance you're tracking

Compared to other social media analytics tools, I was impressed with its competitive benchmarking. Rival IQ shows when your competitor's posts are likely boosted, compares brand positioning (such as social media bios and other profile attributes), and benchmarks your performance within your social media niche and your chosen competitors.

As an agency, competitive analysis plays an important part in informing the social media strategy and social media reporting of your clients. Rival IQ makes that a breeze.

Pricing: Plans start at $239 per month. Free 14-day trial available.

Supported platforms: Facebook, Instagram, LinkedIn, TikTok, X, YouTube

3. Keyhole

Best social media analytics tool for market research

Keyhole excels at historical insights paired with market research — particularly if you need to understand how conversations on a topic have evolved over time. Like Rival IQ, it also has competitive analysis features (and even influencer marketing features), but its real strength is in long-range data.

In historical insights, you can unlock data as old as a decade (the nerd in me loves this feature). What was your audience saying about an important topic five years ago? How has their opinion shifted today? What were the most engaging posts on this topic in this timeframe?

In market research, thanks to Keyhole's machine learning system, you can identify emerging trends on any topic. You can see a real-time evolution of how your audience's sentiments are evolving on a subject.

These social media analytics can give you powerful insights into developing your products and services: you can see what has stood the test of time and how the conversation on a topic has changed.

One catch is that the historical insights are only available for X (formerly Twitter). Sure, it has been the go-to place for conversation in the past, but I would've loved it if other social media platforms were included in the historical insights, too. And these reports cost extra — starting at $50 and increasing depending on the volume of X posts you're analyzing.

Pricing: Not publicly available.

Supported platforms: Facebook, Instagram, LinkedIn, TikTok, X, YouTube

4. Social Status

Best social media analytics tool for small businesses running ads and influencer partnerships

Social Status is one of the top social media analytics tools for small businesses running ads and managing influencer partnerships as part of their social media strategy.

If you're a small business that just wants to measure its performance across organic and paid social strategies, Social Status is a pretty solid fit. It provides the key performance indicators (likes, impressions, comments, shares, etc.) and also:

• Ad analytics (only for Meta, LinkedIn, and X)
• Competitor analytics (only in the paid plan)
• Influencer analytics (only in the higher tier plans)
• Customized social media performance reports on higher-tier plans

Social media managers who practice advertising, collect user-generated content, and dabble in organic social media marketing have a lot on their plate (to say the least). Social Status makes it easy to collate all your insights in a single dashboard.

Pricing: Free plan available. Paid plans start at $9 per month for small businesses, and $99 for other users.

Supported platforms: Facebook, Instagram, LinkedIn, TikTok, X, YouTube

5. Siftsy

Best social media analytics tool for analyzing your comments

Comments often reveal the "why" behind the numbers. Ever wish an analytics tool could surface those insights for you? Siftsy does exactly that.

Designed to pull sentiment from comments across multiple channels, Siftsy works like this: upload a CSV of post URLs, tag your campaign, and let the AI do the heavy lifting.

Analyzing your comments can be beneficial in various scenarios:

• When you want to do a qualitative analysis of an influencer partnership
• When you want to get feedback about a product or an experimental social media post
• When you want automated reports about the overall sentiment of a social media campaign

The numeric data in post analytics are great, but combining them with the qualitative comments' sentiment makes them even more powerful. Siftsy's AI even summarizes the key takeaways and highlights valuable insights from specific conversations for you.

Pricing: Not publicly available.

Supported platforms: Instagram, LinkedIn, TikTok, X, YouTube

6. Vista Social

Best social media analytics tool for tracking reviews and social metrics

Vista Social takes what Siftsy does a step further. It's not only a social media analytics tool; it can also help you schedule posts, manage your comments and social inbox, and practice social listening.

Where Vista Social really shines is review management. It pulls feedback from multiple sites into one dashboard so you can:

• See every new review from Facebook, Google Business, Yelp, and more side-by-side
• Reply to reviews and social comments without switching tabs
• Create filtered, branded reports that combine social metrics and review sentiment

Pricing: Plans start at $79 per month. Free 14-day trial available with each plan.

Supported platforms: Bluesky, Facebook, Google Business, Google Play Store, Instagram, LinkedIn, OpenTable, Pinterest, Reddit, Snapchat, Threads, TikTok, TripAdvisor, Trustpilot, Tumblr, X, Yelp, YouTube, and more

7. Typefully

Best social media analytics tool if you’re only focused on X (formerly Twitter)

Typefully is one of the best social media analytics tools for X (formerly Twitter). While it supports multiple social media channels, it aces X like no other. I especially love writing X threads on it — the user experience is great. The "viral thread hooks" examples it contains are also top-notch for inspiration.

Typefully also provides social media metrics that are unique to X. For example, your dashboard would refer to comments as "replies" because that's the unique terminology for X.

A unique metric I love in Typefully is "profile conversion rate," which tells you how many people in your target audience who visited your X profile hit the follow button. This is such a helpful data point because it helps gain insights on:

• How effective is your profile image, bio, and pinned tweet in converting a visitor to a follower
• How your target audience discovers your social media profile through other sources (like web traffic, podcast mentions, etc.)

Apart from this, Typefully provides all the essential social media metrics such as number of posts, follower growth, impressions, profile visits, etc.

Pricing: Free plan available for 15 posts per month. Paid plans start at $16 per month and have compulsory yearly billing.

Supported platforms: Bluesky, LinkedIn, Mastodon, Threads, X

8. Tailwind

Best social media analytics tool for businesses relying on Pinterest traffic

Tailwind is one of the best social media tools for small businesses focused on using Pinterest marketing to drive traffic. Since Pinterest functions differently (it's a social media channel and a search engine), Tailwind has designed its tool to complement both.

What stands out is the Google Analytics integration, which can help determine which pins drive the most traffic to your website. Using this data, you can double down on the most successful pins and recreate them.

For a Pinterest-specific social media analytics platform, you need many more key performance indicators because of how pins, boards, and trends function on the platform. Tailwind delivers. You can access Pinterest analytics from the high level to the individual pin:

• Track engagement metrics for your boards and pins, including trends for repins
• A "Pin Inspector" helps you monitor the insights for individual pins and understand which pins you should reschedule
• Interest heatmaps help gain actionable insights into whether your social posts are resonating with your target audience
• Board insights help you understand which boards of yours are performing the best — and you can filter them for boards garnering the most outbound links, too

When it comes to Pinterest, few social media tools do a better job than Tailwind — and that includes its social media analytics capabilities.

Pricing: Free plan available for five posts per month. Paid plans begin at $29.99 per month.

Supported platforms: Facebook, Instagram, Pinterest

9. DashThis

Best social media analytics tool for an all-in-one marketing dashboard

DashThis isn't a social media tool, exactly — it's a marketing dashboard that happens to be really good at pulling social data into the bigger picture.

If you're the person on your team who has to show how social media fits into the overall marketing strategy (and prove it's worth the investment), DashThis makes that a lot easier. You can combine social metrics with Google Analytics, ad performance, and other marketing data into one report — which is handy when your stakeholders don't want to look at six different dashboards.

DashThis has over 30 integrations to help you connect Google Analytics, Ahrefs, HubSpot, and many more platforms. You can also keep an eye on paid marketing efforts — like TikTok Ads, Meta Business Suite, Pinterest ads, and even Google ads — to provide a combined report of your organic and paid strategy.

I wouldn't recommend using DashThis if you need in-depth social media performance insights — it provides the basic audience insights report, likes, comments, shares, impressions, etc. It's the ability to integrate with other marketing tools in your tech stack (over 30 of them) that makes it stand out.

I also love that each plan has unlimited users, making DashThis perfect for a large marketing team. There's also no cap on how many data sources you can add, so don't worry if your marketing strategy has a ton of moving parts. You can combine them all in this one analytics tool.

Pricing: Plans begin at $54 per month. There's a 15-day free trial with every plan.

Supported platforms: Facebook, Instagram, LinkedIn, Pinterest, TikTok, YouTube

10. Socialinsider

Best social media analytics tool for AI-driven content pillar insights

Socialinsider is an advanced social media analytics tool that offers AI-driven insights about your content pillars. In the higher tier plans, you can also run an AI-driven competitor analysis that lets you check if a certain pillar works well for a competitor. You can then consider tailoring and using it in your own strategy.

I also love the post tagging feature — here, you can tag and group social media posts and monitor how they're performing collectively. It's just the feature you'd need when you want to monitor how your different social media campaigns or content pillars have performed.

The only catch is the price of Socialinsider is prohibitive for most creators and small teams, since the best features of Socialinsider are restricted to the higher-tier plans.

Pricing: Plans start at $99 per month. All plans have a 14-day free trial.

Supported platforms: Facebook, Instagram, LinkedIn, TikTok, X, YouTube

11. Talkwalker

Best social media analytics tool for in-depth audience insights

Where Talkwalker stands out is in audience analytics. You can pull insights from customer calls, support tickets, and online communities, then slice your audience by demographics to see what each segment actually cares about — a real shortcut when you're hunting for content ideas.

I also love the audience segmentation features. You can slice and dice your data based on audience demographics. This can help garner actionable insights about the various segments of your social media audience, which is especially useful if you're a global brand.

You can also chat with Talkwalker's AI assistant, Yeti, to ask questions about various audience demographics and access relevant insights at your fingertips.

If you wish Talkwalker could also help you manage your social media marketing efforts, you're in luck: Hootsuite acquired Talkwalker in 2024. With Hootsuite, you can schedule your posts, manage your inbox, and measure your social media performance, all in one place.

The snag is that most of Talkwalker's features are only available in the higher-tier Hootsuite plans — which isn't easy on the pocket even with its lowest-tier subscription ($199 per month).

Pricing: Not publicly available.

Supported platforms: Facebook, Instagram, YouTube, Pinterest, X, and more

How to track your social media metrics

Knowing which tool to use is half the job. The other half is actually using that data to adjust your social media strategy (and shape your next post).

Here's the process I follow.

1. Start with your goal, not the metric

It's tempting to track everything, but that's the fastest way to end up blinking at a page of numbers and graphs. Pick your social media goal first, then match the metric to it:

• Awareness: reach, impressions, follower growth
• Engagement: engagement rate, saves, shares, comments
• Traffic: click-through rate and link clicks
• Conversions: conversion rate and cost per lead

If a number doesn't tie back to a goal, you have my full permission to ignore it!

2. Get everything into one view

I'm a big believer in reducing the friction. Logging into Instagram Insights, then TikTok, then LinkedIn, then copying it all into a spreadsheet will take hours — and that's before you've actually analyzed anything.

Pulling every channel into one place is exactly what a tool like Buffer's Insights is built for.

You can compare performance across 10+ networks — Instagram, TikTok, LinkedIn, Facebook, YouTube, Threads, X, Pinterest, Bluesky, and Mastodon — in a single social media analytics dashboard.

Helps that it's beautiful to look at, too.

3. Look for the 'why,' rather than just the 'what'

Raw numbers tell you what happened. The useful part is why. Which post type pulled in new followers? What topics got folks talking?

This is where Insights does a lot of the heavy lifting for you. Its Takeaways feature analyzes your performance and spotlights patterns in an easy-to-understand way. It also makes helpful recommendations on what needs your attention next.

4. Set a cadence you'll stick to

Analytics only pay off when you check them consistently. A quick weekly review is enough to spot which posts are landing and when your audience engages with you. Save the deeper dive — month-over-month trends, what to shift in your strategy — for once a month. If you're running a campaign, check in daily until it wraps.

5. Turn it into a repeatable report

Once you know what you're tracking, build a report you can regenerate in a few clicks instead of rebuilding from scratch each time. If you're reporting to a client or a manager, exportable PDF and CSV reports save you the hassle of copy-pasting.

Bonus: You can use Buffer's MCP to connect Insights directly to your AI tool of choice.

Let your analytics tools deal with the data

Instead of spending hours crunching numbers, you can focus your time on analyzing what the data tells you: Which are my best types of posts? How can I replicate my previous success? What should I shift in my strategy to improve my return on investment?

And if the tool offers ready-made report templates, even better — you can spin up a polished, share-worthy deck in minutes and get back to the creative work.

Having tested all of these tools, I find Buffer to be one of the easiest to get up and running — especially if you're looking for something that covers both scheduling and analytics without the learning curve. The free plan lets you test whether the interface matches how you think before committing to anything. No credit card needed.

FAQ about social media analytics tools

What is a social media analytics tool?

A social media analytics tool collects data from your social media accounts and presents it in ways that help you understand what's working. This includes metrics like reach, impressions, engagement rate, click-through rate, and audience demographics. Some tools also add competitor comparison, social listening, and predictive insights. The goal is to turn raw numbers into actionable intelligence — knowing not just that a post got 500 likes, but why it did and what to do next.

What is a social media analytics dashboard?

A social media analytics dashboard is a single screen that pulls your metrics from every platform into one place — so instead of checking Instagram, TikTok, and LinkedIn separately, you see reach, engagement, and follower growth side by side. The best ones go a step further and crunch the numbers for you, to show you what is working and why. (Check out how we approach this in our guide to building a social media dashboard.)

Why are social media analytics important?

Social media analytics help you prove ROI, identify which content drives traffic and conversions, and optimize your posting strategy based on real data instead of guesswork. Over time, this data helps you create more effective content, grow your audience faster, and make smarter marketing decisions. Teams that track social media metrics and adjust strategy based on data consistently outperform those that post and hope.

What metrics should you track on social media?

The most helpful metrics depend on your goals:

• For awareness: Reach, impressions, and follower growth
• For engagement: Engagement rate, saves, shares, and comments
• For traffic: Click-through rate and link clicks
• For conversions: Conversion rate, cost per lead, and attribution

Most teams should track at minimum: reach, impressions, engagement rate, click-through rate, audience growth, and conversion rate. Use these as your baseline, then drill deeper into the metrics tied to your specific business outcome.

What are the 4 types of social media analytics?

The four types are descriptive (what happened — raw metrics like impressions and clicks), diagnostic (why it happened — content type and timing analysis), predictive (what will happen — trend forecasting based on past data), and prescriptive (what you should do — AI-powered action recommendations). Most analytics tools focus on descriptive and diagnostic. Only premium tools venture into predictive and prescriptive territory.

How do you choose a social media analytics tool?

Start with these questions: How many accounts do you manage? Do you need competitor benchmarking or just your own data? Do you need automated reporting for clients or stakeholders? What's your budget? Then test the free tier or trial of 2–3 tools that fit your criteria. Look at ease of use, data accuracy, reporting capabilities, and integrations with your existing stack. Don't get sold on features you don't need — choose the simplest tool that solves your core problem.

What is the difference between social media analytics and insights?

"Insights" is the term social platforms use for their native analytics (Instagram Insights, TikTok Analytics, etc.). "Analytics" usually refers to third-party tools that aggregate data from multiple platforms and add features like competitor comparison, cross-platform reporting, and trend analysis. Native insights are free but limited to your own data on a single platform. Third-party analytics tools cost money but give you more flexibility and cross-platform visibility.

Do you need a social media analytics tool if platforms already provide data?

Native analytics are useful for basic performance tracking, but they have real limits. They only show your own data, don't compare you to competitors, are hard to customize, and don't integrate with the rest of your marketing stack. If you're managing multiple accounts, need competitor benchmarking, or build reports for stakeholders, a third-party tool is worth the investment. If you're a solo creator tracking basic performance on one platform, native analytics might be enough to start.

How often should you check your social media analytics?

Most creators and social media managers benefit from checking analytics at least once a week. A quick weekly review helps you spot patterns — which posts performed best, when your audience was most active, and what topics resonated. A deeper monthly review is useful for evaluating long-term trends and refining your overall social media strategy. If you're running a campaign, daily check-ins make sense until it wraps up.

What's the difference between analytics tools and social media management tools?

Dedicated analytics tools focus purely on measuring performance and generating reports. Social media management tools combine analytics with other features like scheduling posts, managing comments, and storing content ideas. For many creators and small teams, a management tool with built-in analytics is the best option — having everything in one place just makes life easier. But if you need very deep analytics (like competitive benchmarking or sentiment analysis), a standalone analytics tool is worth adding to your stack.

More social media analytics resources

• 2026 Social Media Benchmarks You Can Use to Guide Your Strategy
• TikTok Analytics for Creators and Brands: The Metrics That Actually Matter
• New in Buffer: LinkedIn Profile Analytics
• 12 Social Media Metrics You Should Be Tracking (And Why)

Dustin Kuhns started using Buffer back in 2023. Today, he runs social media for a roster of arts and culture organizations, managing more than 10 social media channels. Buffer just fits the way he prefers to work, so he’s stuck with it as his business expanded. 

At a glance

• Customer: Dustin Kuhns, founder of Kuhns, Inc.
• Based in: Pennsylvania, US
• What he does: Consulting for arts and culture organizations, connecting their strategy to social, email, and the rest of their communications
• Channels in Buffer: 10+
• How he uses Insights: Tags campaigns by theme and subject, then reads performance back across a full year to shape what his clients post and program next

The work: 'Arts and culture supply chain management'

Dustin doesn't think of himself as a social media manager. He runs a consultancy from Quakertown, Pennsylvania, and describes his role as something closer to logistics than content creation. 

"I specialize in arts and culture supply chain management," he says. "How does content go from leadership vision to a creative team and get put out into social media, email, the website, or advertising?" 

His clients range from teams of two or three people to institutions, including religious nonprofits, film festivals, historic theaters, and arts organizations.

Early in his career, he came to see that the thing holding most of these organizations back was rarely their creative work. "It wasn't a stellar brand or better creative content that most of these organizations were missing," he says. "It was consistency. And the thing they needed to be consistent was a tool that would grow with them, not dictate their workflows for them."

Dustin’s own background runs through music and the arts. He grew up playing music in church, went on to produce shows for other bands, spent several years in design and construction, and eventually moved into communications. He regularly curates fine art exhibitions, and he credits that sense of taste for much of his business. 

"Clients come to me to feel confident about what they produce," he says. "They trust my taste."

Why he chose a focused tool

Sticking with Buffer as his business scaled was a no-brainer for Dustin.

He would rather use a tool that excels at a focused set of tasks rather than one that tries to do everything — and complicates his workflows in the process.

"I'll choose a tool that has 75% of what I need and find workarounds for the other 25% before I'll use one that has 200% of what I need," he says, "and then let all that extra capacity get in the way." 

Dustin manages a wide range of clients, each with their own priorities, so what he values is a tool that does its core job excellently and then adapts to him, rather than one that pushes a single way of working.

Buffer works the way he works, which leaves his attention free for the specific priorities and needs of each client.

How he uses Insights

One of the workarounds Dustin previously looked for was deeper social media analytics — until Insights landed in Buffer. Insights is Buffer’s brand-new answer to analytics, tracking, and reporting, and Dustin was an early adopter. 

Two features have changed the game for him. The first is the ability to see performance data from every channel in a single view — this is huge when you’re reporting across a dozen accounts.

The second (and the feature he relies on most) is tagging. Tags — the ability to sort your posts into different color-coded categories — feed directly into Insights. Dustin can group his posts by campaign, theme, or subject and review how each one performs over time.

He describes one example involving a nonprofit client that built much of its content around influential ideas and quotes from experts. Dustin created a series of quote graphics featuring various writers and subjects, organizing them into different tags in Buffer to quickly compare their performance.

"In a matter of minutes, across a bunch of campaigns over a year, I can see how content from specific thinkers, on specific subjects, resonates with an audience and how that engagement changes," he says.

What makes this valuable is what he does with the finding, because he brings it back to the client as a recommendation. "These insights don’t just inform the social media," he says. "I can go back and say, people really resonate with this, and that can shape the client’s programming. Maybe the client runs a webinar on a particular subject, or writes a newsletter or blog focused on a particular thinker driving engagement on social media." 

A tag becomes a read on the audience, and that read shapes the client's broader strategy and their next posts.

Letting taste lead the data

Dustin is careful to point out that analytics on its own is not enough. “We need to see which things work best so we know what to focus on," he says 

But the element he believes most people overlook is taste.

"Everyone's critique of social media these days boils down to a central problem: taste never entered the conversation when we started using data to drive engagement at any cost," he says. 

For example, he says, a religious nonprofit can generate a great deal of engagement on social media if they chase controversy. Of course, much of that engagement is hostile.

"It's engagement. It's getting me the views. But does it further my client’s mission? Probably not." The data shows him what is performing, and his judgment determines which of those results are actually worth pursuing. 

For Dustin, Insights is a way to understand how an audience is responding to the work, so that he can decide what to do next, rather than chase whatever happens to perform.

This is also why he values the way Buffer approaches AI. "The one thing I love about Buffer right now is that it's the only platform I work with that isn't shoving generative AI in my face," he says. "The communities my clients work with wouldn't respond well to that anyway." 

Insights follows the same principle, with its intelligence running in the background to surface patterns worth a closer look, and without writing anyone's posts or standing in for their voice.

If this sounds like how you work 

If you're a creator, social media manager, or agency owner like Dustin — who trusts their gut as much as they trust the metrics — Insights was built for you. 

It allows you to zoom out and look at the whole picture of all your channels’ performance, side-by-side, or wade in to inspect every chart at the channel (or tag!) level. 

Some more handy features worth noting:

• Takeaways that guide your next move. Instead of leaving you to squint at a chart, Insights reads your performance and tells you (in plain English) what's working and what you could try next.
• Reports your clients understand. Export polished PDF or CSV reports for any channel, date range, or campaign, without hand-building a single spreadsheet.
• Your data, wherever you want it. Download it as CSV or PDF, or copy the whole lot as markdown and paste it straight into your favorite AI tool, like Claude or ChatGPT.

Bonus: Most of Insights’ features are available on the free plan. Create your free account and try Insights on your own channels.

The best times to post on Instagram in 2026 are Thursday at 9 a.m., Wednesday at 12 p.m., and Wednesday at 6 p.m., based on Buffer's analysis of 9.6 million Instagram posts.

But the best time to post on Instagram isn't a single slot every day. It shifts by day, and the gap between these high engagement times and lulls is more of a chasm than a crevice.

There are a lot of factors that decide how a post performs, but the one that often feels make-or-break is when you hit publish.

Totally fair. With more brands and creators investing in Instagram than ever — and audiences spending more time on the app — the competition for feed space is fierce. You don't want to pour hours into a post, only to share it into an Instagram dead zone and hear... crickets.

Sharing Instagram Stories, reels, feed posts, and carousels at the right times is one of the easier wins in your social media strategy. If your content lands on your audience's feed while they're around to engage with it, it's more likely to succeed.

Engagement is one of the strongest signals the Instagram algorithm uses to decide what to surface. Likes, comments, shares, and reposts tell the app your content is worth showing to more people.

Posting consistently matters, too. Audiences are generally receptive to regular content from brands and creators, so showing up on a predictable schedule, timed to when your followers are active, gives you the best shot at building momentum. Tools like Buffer can help you plan and schedule posts so you're always showing up at the right time, even on your busiest days.

We analyzed the engagement of 9.6 million Instagram posts as part of Buffer's State of Social Engagement 2026 report (which examined 52 million posts across 10 platforms from more than 200,000 accounts between January 2024 and December 2025) to pin down the best times to post on Instagram, backed by real data.

Let's dig into when to post on Instagram, plus how to figure out your own best time — whether you're a creator, a social media manager, or a small business owner trying to make every post count.

Key takeaways

• Thursday at 9 a.m., Wednesday at 12 p.m., and Wednesday at 6 p.m. are the top three time slots to post on Instagram, based on Buffer's analysis of 9.6 million posts.
• Wednesday is the single best day to post on Instagram, followed by Thursday and Tuesday. Midweek consistently outperforms the rest of the week.
• Evening hours (6 p.m. to 11 p.m.) generate the strongest engagement on every weekday except Thursday.
• Thursday is the exception. Morning posts (7 a.m. to 9 a.m.) outperform evening slots on that day alone.
• Friday and Saturday are the worst days to post on Instagram, with engagement dropping across every time slot.
• Your mileage may vary by industry. Morning posts may work better for some niches (like retail or media), while afternoon slots tend to outperform for others (like finance or hospitality). Use these benchmarks as a starting point, then lean on your own data to fine-tune.
• Reels may follow slightly different peak windows than static feed posts or carousels. If reels are a big part of your strategy, it's worth experimenting with early morning and midday slots on top of the evening windows highlighted above.

📊 About this data

• Sample Size: 9.6 million Instagram posts (part of a 52M+ post study).
• Scope: 200,000+ accounts across 10 platforms.
• Timeline: January 2024 – December 2025.
• Metric: Median engagement rate (Likes + Comments + Shares + Saves / Followers x 100).

Is there a best time to post on Instagram?

Yes. Buffer's analysis of 9.6 million Instagram posts shows that specific time slots consistently outperform others, with Wednesday and Thursday yielding the highest engagement, and evening hours (6 p.m. to 11 p.m.) winning across most days. Content quality still matters most, but timing meaningfully shifts reach.

Here's why: Instagram's algorithm rewards relevance, but recency still dictates your initial reach. When you post while your audience is actively scrolling, you build early momentum — and that momentum signals to the algorithm that your content is worth surfacing to more people.

The patterns we uncovered were the most surprising part. Evening hours consistently outperform mornings across most days of the week, with one Thursday-shaped exception (more on that in a moment).

Timing isn't as critical as it was in the chronological-feed days (R.I.P.), but it still plays a role in your social media marketing strategy.

Phew. Let's look at what the data actually shows.

🌏 No timezone troubles: To make this data easier to understand, our data scientist normalized the times so they apply to any timezone — no manual converting needed. These times already apply to your timezone. Whether you're in EST (Eastern Standard Time), PST (Pacific Standard Time), or IST (Indian Standard Time), the times apply to you.

The best times to post on Instagram

The best times to post on Instagram in 2026 are Thursday at 9 a.m., Wednesday at 12 p.m., and Wednesday at 6 p.m.

These findings align with broader industry research, which consistently points to midweek (particularly Wednesday and Thursday) and afternoon-to-evening windows as the highest-engagement slots on Instagram.

Our latest data shows evening hours (6 p.m. to 11 p.m.) see the strongest engagement across all timezones. Build your schedule around those hours.

This tracks, considering over a third of Instagram users are 25 to 34 years old, according to Statista. This demographic is most likely to check the app in the evenings to unwind after work. Things pick up in the early afternoons on some weekdays. There's also a notable midday spike on Wednesdays around noon. (Who doesn't love a lunch break scroll?)

Morning hours (6 a.m. to 11 a.m.) are the worst times to post, with one notable exception: Thursday mornings at 9 a.m. show surprisingly strong engagement.

💡 The Thursday 9 a.m. anomaly: We don't know exactly why Thursday at 9 a.m. breaks the evening pattern, but our best guess is end-of-week planning energy. People check in on creators and brands while they map out their weekend.

As you'll see from the heatmap graph above, the best Instagram posting times vary depending on the day of the week. The darkest slots represent the time slots with the highest engagement.

The light-colored to white blocks are the time slots with the lowest engagement, showing the posting times that are best avoided if you're after the best possible engagement and reach.

The end of the week and weekends look different from weekdays. Friday and Saturday are the worst days to post content, with significantly lower engagement across all time slots. If weekends are part of your posting strategy, evening hours (8 p.m. to 10 p.m.) on Sunday offer your best bet for catching weekend scrollers.

The best times to post on Instagram at a glance

Source: Buffer's State of Social Engagement 2026 report (9.6M Instagram posts analyzed, Jan 2024 to Dec 2025). Times apply to your local timezone.

If you'd rather see the why behind each day, and not just the top three slots, here's the day-by-day breakdown.

The best time to post on Instagram for every day of the week

Best time to post on Instagram today

The best time to post on Instagram today depends on the day you're reading this. Here's the quick version: find today below, post in that window, and you're working with the data instead of against it.

• Monday: 7 p.m., then 6 p.m. or 8 p.m. Evenings, once everyone's back from the workday.
• Tuesday: 7 p.m., then 3 p.m. or 5 p.m. Mid-afternoon rolling into the evening.
• Wednesday: 12 p.m., then 6 p.m. or 8 a.m. Your single best day. The lunchtime scroll is real.
• Thursday: 9 a.m., then 8 a.m. or 7 a.m. It's the one day mornings beat evenings.
• Friday: 10 p.m., then 9 p.m. A quieter day overall, so keep expectations in check.
• Saturday: 9 p.m., then 10 p.m. or 8 p.m. Another slow one, so save your big posts for midweek.
• Sunday: 9 p.m., then 10 p.m. or 8 p.m. The strongest weekend slot, as people wind down before Monday.

If today happens to be a Friday or Saturday, don't force your best content out just to fill a slot. Those are the two weakest days in our data — it's absolutely fine to hold your strongest post for Wednesday.

Best time to post on Instagram on Monday in 2026

The best time to post on Instagram on Monday is 7 p.m., followed by 6 p.m. and 8 p.m. Monday evenings are when audiences settle back into their feeds after the workday, making the 6 p.m. to 8 p.m. window your strongest play to start the week.

Best time to post on Instagram on Tuesday in 2026

The best time to post on Instagram on Tuesday is 7 p.m., followed by 3 p.m. and 5 p.m. Tuesday is the third-strongest day of the week overall, and its top slots stretch from mid-afternoon into the early evening. If you only post once on Tuesday, aim for 7 p.m.

Best time to post on Instagram on Wednesday in 2026

The best time to post on Instagram on Wednesday is 12 p.m., followed by 6 p.m. and 8 a.m. Wednesday is the highest-performing day in our data, with three strong slots across the day. The midday spike is unusual (most days don't see a noon peak) and lines up with the lunchtime scroll.

Best time to post on Instagram on Thursday in 2026

The best time to post on Instagram on Thursday is 9 a.m., followed by 8 a.m. and 7 a.m. Thursday is the most counterintuitive day in the dataset: it's the only weekday where mornings outperform evenings. Aim for 7 a.m. to 9 a.m. for your strongest engagement.

Best time to post on Instagram on Friday in 2026

The best time to post on Instagram on Friday is 10 p.m., followed by 9 p.m. and 6 a.m. Friday is one of the two weakest days for engagement overall, so treat any Friday slot as a hold-the-line day rather than your peak.

Best time to post on Instagram on Saturday in 2026

The best time to post on Instagram on Saturday is 9 p.m., followed by 10 p.m. and 8 p.m. Saturday and Friday share the weakest engagement of the week, so save your high-stakes posts for midweek and use Saturday evening for lighter content.

Best time to post on Instagram on Sunday in 2026

The best time to post on Instagram on Sunday is 9 p.m., followed by 10 p.m. and 8 p.m. Sunday evenings are the strongest weekend window, with audiences scrolling as they wind down before Monday.

The best day of the week to post on Instagram

Wednesday is the best day to post on Instagram, followed closely by Thursday and Tuesday. These midweek days consistently show the highest engagement rates across multiple time slots.

Comparatively, the worst days to post on Instagram are Friday and Saturday. Weekend engagement drops significantly, making weekdays your best bet for maximum reach and engagement.

Worst times and days to post on Instagram

The worst times to post on Instagram are between 1 a.m. and 5 a.m. on any day, and on Friday and Saturday in general.

A few patterns from Buffer's 9.6M-post analysis:

• Overnight (1 a.m. to 5 a.m.): Lowest engagement across every day of the week. Don't post on Instagram while your audience is asleep.
• Friday and Saturday: Lowest-performing days overall, all time slots.
• Weekday mornings (6 a.m. to 11 a.m.): Generally weak, with one exception: Thursday, 7 a.m. to 9 a.m.

If you're after maximum reach and engagement, save your best content for midweek.

Best time to post on Instagram by content type: reels, carousels, and stories

People treat different segments of the Instagram app a little differently, which means it's worth thinking about how reels, carousels, and stories fit into your posting schedule.

An update on the algorithm by Head of Instagram Adam Mosseri offers some useful insight on this front. "People tend to look for their closest friends in stories, use explore to discover new content and creators, and be entertained in reels," he said in a reel.

People are looking to be entertained at certain times of day, and catch up with friends, family, and their favorite creators at other times.

In our analysis, we reviewed all post types together rather than segmenting by format. The high-level takeaway is that the same peak windows apply across content types, with small format-specific notes below.

Best time to post Instagram Reels

The best time to post Instagram Reels is in the evening, between 6 p.m. and 11 p.m., with Wednesday and Thursday as your strongest days. These are the same peak windows that hold across the rest of our data.

Quick caveat: we looked at all post types together rather than splitting the numbers out by format, so these aren't reels-only slots. But the evening posting makes particular sense for reels. Per Head of Instagram, Adam Mosseri, reels are where people go to be entertained, and that mostly happens once the workday's done, and there's time to actually sit and watch.

The signals the algorithm values most are also worth considering here. Instagram's most important signal in 2026 is sends per reach (how often people DM your reel to a friend). To me, these behaviors feel way more likely in a moment of downtime, rather than during the midday rush.

So if you only post one reel this week, aim for a Wednesday or Thursday evening. Then let your own numbers take over — check Buffer Insights or native Instagram analytics after a few weeks to see whether your audience breaks the pattern.

Best time to post Instagram carousels

The best time to post Instagram carousels follows the same midweek pattern: Wednesday at 12 p.m., Wednesday at 6 p.m., and Thursday at 9 a.m. Carousels tend to perform well when readers have the time to swipe through, which lines up with the lunch-break and post-work windows.

Best time to post Instagram Stories

The best time to post Instagram Stories is daily, ideally one to two times per day. Stories disappear after 24 hours, so consistency matters more than picking the perfect slot. Mosseri has recommended sharing one to two stories daily as part of a healthy weekly cadence on the platform.

Set your best times to post on Instagram automatically with Buffer's scheduling tool

If, like me, you fancy working smarter, not harder, you can set these recommended times directly in Buffer, no manual entry required.

You can automatically set these recommended times for Instagram and your other social media platforms. Pretty handy, no? It'll take you less than a minute to set up:

1. Hover over Instagram on your channels list on the left, and click on the three dots at the top right to see more options.
2. Choose Manage Posting Times.

3. Under Posting Slot, click the Generate New Posting Slots button, then Use Recommended Times.

The schedule will automatically update to include the best posting times for the week, based on our latest analysis of millions of Instagram posts.

Here's a video tutorial showing you how to customize your posting schedule:

The next time you schedule a post, you can pick one of these high-engagement slots without a second thought. No more guessing! You can set your Instagram posting times in Buffer for free — it takes under a minute.

How to find your followers' most active times on Instagram

To see when your followers are on Instagram, it's worth checking Instagram Insights. The in-app analytics surface when your specific audience is most active, which often differs from the platform-wide averages.

For example, my personal Instagram audience's activity level is pretty steady on work days and on the weekends. Their most active times are between 6 p.m. and 9 p.m.

For Buffer's Instagram following, things look a little different. They're most active on the platform between 3 p.m. and 6 p.m.

Instagram Insights, the native Instagram analytics tool, can help pinpoint some good times to post on Instagram.

Note that these are times your followers are using Instagram, not necessarily when they are most likely to engage with your content — that's an important distinction. It's absolutely worth experimenting with these slots, but don't treat them as the be-all and end-all.

To get stats for your own audience via the analytics baked into the app, head over to Instagram Insights on the mobile app. You'll need a professional Instagram account, a Creator or Business Account, to access these numbers.

1. Go to your Instagram profile and click on Professional dashboard just below your bio.
2. Tap on New followers.
3. Scroll to Follower active times to pinpoint your followers' best time to post moments.

You can also access Instagram Insights via the web version of Instagram. To find yours:

1. Log in to your Instagram account in your browser via instagram.com.
2. Click on Dashboard on the left-hand side of the screen.
3. Under the Insights dropdown, select Account.
4. Scroll down to Followers to see your audience's most active times (i.e., your ideal posting times).

FAQs about the best time to post on Instagram

How did you calculate the best time to post on Instagram?

We analyzed 9.6 million Instagram posts from 200,000+ Buffer accounts (January 2024 to December 2025), measuring median engagement rates across time slots to avoid skew from outlier posts and large accounts. This is part of Buffer's State of Social Engagement 2026 report, which examined 52 million posts across 10 platforms.

Why focus on engagement? Reach is important for growth, but engagement tells us when your audience is most likely to interact with your content. The Instagram algorithm now prioritizes 'sends per reach' (how often people DM your post or reel to a friend) as a critical ranking signal.

💡 Instagram's #1 ranking signal in 2026: Sends per reach, how often people DM your post to a friend. Per Head of Instagram Adam Mosseri, this is now the platform's most important algorithmic factor, especially in reels and discover feeds.

We measured median engagement rates, so results aren't skewed by outlier posts or large accounts, which makes this advice applicable whether you're just starting out or have an established following.

Does the time you post on Instagram matter?

Yes, posting time on Instagram matters. Our analysis of 9.6 million Instagram posts shows that content posted at specific times had significantly higher engagement rates.

Evening hours (6 p.m. to 11 p.m.) consistently outperformed other time slots, with Wednesday and Thursday showing the strongest overall performance.

But timing can't save a weak post. Think of it as the cherry on top of your strategy, not the cake itself.

When is it best not to post on Instagram?

The worst times to post on Instagram are between 1 a.m. and 5 a.m. on any day, and across Friday and Saturday in general.

Morning hours (6 a.m. to 11 a.m.) are the weakest weekday windows, with one exception: Thursday mornings show surprisingly strong engagement.

The most obvious answer is overnight: posts shared between 1 a.m. and 5 a.m. tended to get the lowest engagement, no matter what day of the week it is. Rule of thumb: don't post on Instagram while your audience is asleep.

What is the worst time to post on Instagram?

The worst time to post on Instagram is between 1 a.m. and 5 a.m. across every day of the week, when engagement consistently bottoms out.

Friday and Saturday are the worst days overall, with significantly lower engagement than weekdays. Avoid Friday lunchtime and Saturday morning if engagement is your goal. The pattern tracks with audience behavior: people are asleep overnight and tend to step away from the app during weekend mornings and commutes.

Is it better to post early or late on Instagram?

Late is better. Evening hours (6 p.m. to 11 p.m.) outperform mornings on every day except Thursday, where 7 a.m. to 9 a.m. is the strongest window.

This aligns with when most Instagram users (particularly the 18 to 34 demographic) are winding down from work and actively scrolling.

What is the best time to post on Instagram today?

The best time to post on Instagram today depends on the day of the week. Here's a quick reference:

Weekdays:

• Monday or Tuesday: 7 p.m. or 6 p.m.
• Wednesday: 12 p.m., 6 p.m., or 8 a.m.
• Thursday: 9 a.m., 8 a.m., or 7 a.m.
• Friday: 10 p.m. or 9 p.m. (though engagement is lower overall)

Weekends:

• Sunday: 9 p.m. or 10 p.m.
• Saturday: 9 p.m. or 10 p.m. (also a weaker day)

What is the best day of the week to post on Instagram?

Avoid Friday and Saturday if engagement is your goal. Weekend engagement drops significantly, making weekdays your best bet for reach. The best day of the week to post on Instagram is Wednesday, followed by Thursday and Tuesday. These midweek days consistently outperform the rest of the week across every time slot in our data.

What is the best time to post Instagram Reels?

The best time to post Instagram Reels is during evening hours (6 p.m. to 11 p.m.) on Wednesdays and Thursdays, in line with overall peak engagement windows. Per Head of Instagram, Adam Mosseri, reels are where people go to be entertained, so the evening wind-down is when your audience has time to actually watch.

When is the best time to post on Instagram in my country or timezone?

The best times to post on Instagram are the same regardless of your timezone. Buffer's data scientist normalized the data, so 12 p.m. Wednesday means 12 p.m. local time wherever you are.

We've heard this question from readers everywhere, from the US to the UK, India, Australia, Canada, and beyond. Whatever your country or timezone, these times apply. If the best time to post on Instagram on Wednesday is 12 p.m., that's 12 p.m. in your timezone, whether you're based in California or Calcutta.

How often should I post on Instagram?

Post on Instagram 3 to 5 times per week (reels, carousels, or photos) plus 1 to 2 stories daily, per Buffer's analysis of 9.6M posts. This is the sweet spot for reach without overposting.

Social media post frequency is important — regularly showing up on any of the major social media platforms is often the best way to grow.

Another 2025 Buffer study showed that the more often you post on Instagram, the higher reach you get per post. We found that 3-5 posts on Instagram per week (reels, carousels, or photo posts) was the sweet spot for better reach for your efforts.

Instagram Stories, which disappear after 24 hours, offer a helpful, lightweight way to stay consistent on the platform. Post an Instagram Story at least daily to stay top-of-mind for your followers.

Head of Instagram, Adam Mosseri, has made similar recommendations. He suggests posting reels, carousels, photos, and stories every week to grow your social media presence, with one to two Instagram Stories daily and a couple of feed posts weekly. That should be enough for consistent Instagram engagement and reach.

Experiment with your posting schedule to find the cadence (along with the time to post) that works best for your target audience.

Your checklist for high-performing Instagram posts

Figuring out the best time to post on Instagram for maximum reach is one piece of your Instagram marketing strategy, not the whole thing.

As we unpack in our guide to the Instagram algorithm, a huge number of factors decide whether your content performs well when you post on Instagram. Here's our checklist for high-performing Instagram content:

1. Make the most of Instagram's new features: The platform loves showcasing its new features. Using them when you post on Instagram could mean getting your content in front of new audiences.
2. Experiment with content types: Regularly trying out a new type of content when you post on Instagram will help you figure out what resonates the most with your audience. Plus, it's a great way to repurpose your content.
3. Prioritize authentic engagement: Rather than wasting time on Instagram algorithm hacks, focus on meaningful engagement with your followers. Reply to comments and messages (you could boost engagement by 21%!), reshare their mentions of you, and interact with them on their own content. The algorithm now prioritizes 'sends per reach', so encourage your audience to share your posts with friends.
4. Analyze to see what's working: Use Instagram Insights to build your social media presence and see which of your posts have had maximum engagement and reach. Buffer's Insights will also help you uncover your best posts in just a few clicks.

What's actually worked for you when figuring out your best posting times? Tell us @buffer. I read every reply.

Get started with Buffer for free.

More Instagram resources

• 13 Trending Sounds on Instagram (+ How to Use Them)
• 24 Free Instagram Tools to Help Grow Your Account
• How to Make Money on Instagram: 12 Tried + Tested Ways That Work
• I'm Growing on Instagram After 10 Years — Here’s What I'm Doing Differently
• The Complete Guide to Using Instagram Stories to Boost Engagement + Stay Top of Mind
• 13 Ways to Get More Followers on Instagram (Tried & Tested)
• How the Instagram Algorithm Works

A few weeks ago, one of our engineers, Andy Yates, got an email at his personal address. It was from the team at TRMNL, who make beautifully minimal e-ink displays with a thriving plugin ecosystem behind them. Part of their job is scouting the best plugins people build on the platform, and they'd spotted a private one called "Buffer." They wanted to know if he'd be up for releasing it to everyone.

What they didn't know was that Andy actually works at Buffer. And that, by happy accident, our public API was about a week away from going live.

That coincidence turned into one of my favorite examples of what people do when you give them an open API. So with the Buffer API now generally available, I wanted to tell the story of the plugin currently glowing on Andy's desk.

The plugin that started as a personal hack

Andy had just gotten a TRMNL, was having fun building plugins for it, and wondered what his Buffer queue would look like on the screen.

TRMNL screens are built around a lovely idea: your desk should show you the handful of things you care about, calmly, without demanding anything back. People run their calendars, weather, to-do lists, and hundreds of community-built plugins on them. Andy's shows his Buffer queue: queue counts and a recently sent or upcoming post, refreshed automatically. And the plugin that started as his private build is now official — anyone with a TRMNL can install it and connect their Buffer account.

An ambient display changes how often you notice your queue

My first reaction was to want one immediately. My second was to work out why.

Most of us interact with our content schedule by going looking for it. We open Buffer, check the queue, maybe feel a small jolt of "oh no, nothing's lined up for Thursday," and close the tab. It's a deliberate act which means it's easy to skip for a few days.

With an ambient display, the information comes to you. If your queue is running low, it's a gentle reminder for anyone trying to post consistently. There's also something satisfying about seeing the work as a physical object on your desk instead of a row in a dashboard.

It runs entirely on TRMNL's side

TRMNL's platform hosts the plugin entirely on their side, so there's no server for Andy to stand up or babysit. It connects straight to our OAuth flow using PKCE, which is the modern, secure way for an app like this to get access without anyone copying API keys around. And the plugin got better on the way to going public: Ikraam from the TRMNL team worked with Andy directly, adding new features and making the setup flow far simpler than the first version. That kind of hands-on support is a big part of why their plugin ecosystem is as lively as it is.

He also contributed the Buffer connector, with our new API flow, to TRMNL's public providers repo. That means anyone who wants to build their own Buffer plugin on TRMNL gets the hard part done for them. Build once, and the next person reuses it.

Want one on your own desk? We're giving some away

To mark the launch, we're running a giveaway with TRMNL from July 13 to 20. We're giving away four TRMNL devices, plus some Buffer swag bundles.

Entering takes three steps on our LinkedIn post:

1. Like the post
2. Comment with your answer to one of two questions: what Buffer data you'd want to see on your TRMNL at a glance, or what you'd build if you made a TRMNL plugin with the Buffer API
3. Repost it

We announce the winners on July 27. If you enter and don't win, there's a consolation: TRMNL is offering a bufferxtrmnl code for $10 off any device, live from July 27 through September 7. Full terms are linked in the first comment of the giveaway post.

I volunteer as a community lead for a tech non-profit that helps people get their start in tech through free training programs and mentorship. The role has two halves: answering members' questions in our Slack and running the non-profit's social channels, where I share content that helps the wider community.

Our Slack runs across more channels than I can keep an eye on, but four of them carry most of the traffic. Between them, that's roughly 80 questions a week. For a long time, the content side of my job meant I had to scroll through it all by hand, hunt for patterns, and build a calendar around whatever kept coming up.

On a good week, I got two or three posts out, and each one took three to five hours, including the research, writing, scheduling, and replying to comments afterward. All in, that was 15 to 20 hours a week on top of my day job, which is exactly how I ended up burned out.

I needed a better way to keep up. So I built a pipeline that listens to conversations across a community workspace, surfaces overlooked questions, and turns shared concerns into content that helps more people. It scans those four channels, drafts a reply to every real question for me to approve and send. Then it takes the ones worth answering in public, writes them up in my voice, and drops them into Buffer ready to schedule.

The posts have to be public because only a slice of our community lives in Slack. Plenty of members check social media every day but open the workspace once a week, and the people we exist to serve who haven't found us yet are out there searching for answers that sit behind a login no search engine can reach. A question will still be answered in the channel first. But the same answer, published where people already scroll, keeps helping long after the thread goes quiet.

Here's how I built it and how it transformed my workload and the community's experience.

Why keeping up manually stopped working

The volume on its own was manageable. The harder part was that the questions I most needed to catch were the ones most likely to slip past me.

A few things were working against me at once:

• Questions got buried. Across the four channels, with people also chatting, brainstorming, and thinking out loud, the important questions sank under everything else moving faster.
• Time zones stacked up. I'm in Nigeria, while members are spread across Europe, America, and several time zones in between. I'd close my laptop at night and wake up to a stretch of conversations I'd slept through, with questions sitting unanswered the whole time.
• Deadline days turned into pile-ups. We run free training programs with hard application deadlines, and people tend to apply on the last day. The moment they hit a blocker, I'd get hundreds of messages at once. If I missed one reply, registration closed before that person ever heard back.
• The people who needed help most often never asked. They were new and didn't want to look it, or they'd asked once, gotten buried, and given up. So when one of their questions did surface, raised by one person or a few, it usually spoke for a crowd that never said a word. Those were often the questions most worth answering in public.

Behind every one of those was someone who needed help and didn't get it in time.

That's what pushed me to build something, so the answer could already be there, in public, before the next person had to ask.

Every day, my workflow reads what the community asked, works out which of those questions are worth answering in public, and drafts the posts so they're ready to go. I keep the one role only I can do: reviewing and approving what goes out.

The pipeline in five steps

The pipeline runs in five steps: read, filter, archive, cluster, and publish (in Buffer!). I built the workflow in Gumloop, a low-code canvas where I can chain AI steps, API calls, and a few custom nodes together in one place.

The first three steps turn raw Slack traffic into a clean, taggable archive. The last two decide what deserves a public answer and get it into Buffer.

1. Read. Every message in those four channels runs through an AI Extract Data node in Gumloop. In a single pass, it decides whether the message is a question, drafts a response if it is, scores its own confidence in that draft as either "High" or "Needs Verification," and tags it with a theme like onboarding, billing, technical, or feature request. I run this step on GPT-5.4 Mini, which handles that kind of multi-field extraction without burning through credits. The confidence score turned out to be a useful part: it lets me spend my attention where my judgment adds real value, instead of reviewing every row the same way.
2. Filter. A separate custom node keeps only the rows flagged as questions and drops everything else. I made filtering its own step on purpose, rather than folding it into the AI prompt, for one reason: honesty. I want the AI to make one decision per pass and leave that decision visible in the data before anything goes live. If it ever starts misclassifying entries, the archive shows me, and the call stays on the record where I can audit it.
3. Archive. Everything that survives the filter gets written into a Notion database I call the Community Ops Log. It has 10 fields, including who asked, which channel it came from, the theme, the draft response, a link back to the original message, and a status. Two views sit on top of it: a plain table for everything, and a Kanban review board grouped by status (needs review, verified, responded, and dismissed). That status field is what turns the archive from a passive log into something I can actually triage. At a glance, I can see how many drafts are waiting on me, how many I've already handled, and how many I've set aside.
4. Cluster. Claude Opus, my preferred AI model to work with, groups the questions by the underlying problem, then decides which ones deserve a public answer. This is where the pipeline's judgment lives, so I'll walk through it properly in a moment.
5. Publish. The questions that make the cut become content ideas and ready-to-post drafts, pushed straight into Buffer.

💡 A quick note on the screenshots that follow: the Slack workspace, channels, and member data you'll see are a simulation I built for this article to keep my real community's threads private. The pipeline is the same one I run live.

How the pipeline decides which questions should be answered on our social channels

This step is probably the trickiest and the most important. Without it, every question becomes a post, and the queue fills with noise. So the pipeline defaults to not posting.

A Notion reader pulls everything in the Community Ops Log and hands it all to a Gumloop Ask AI node running Claude Opus. In a single pass, the prompt clusters the questions, grouping the ones that are asking about the same thing even when they're worded differently. Then it scores each cluster to decide whether it deserves a public post, removes near-duplicates, and for the themes that make the cut, writes a content idea and drafts the posts.

A second custom node then parses that output with plain rules and no AI, so the same clusters always produce the same structured rows.

The goal is to surface the questions worth answering in public, including the valuable ones that only a few people, or even one person, thought to ask. Those are the easiest to miss, and they are often the ones the silent majority needs answers for.

To get there, each theme gets a quick gut-check against three criteria, and it has to clear at least two of them to be promoted:

1. Can a member already solve this on their own? If the documentation we have would get them there in about 15 minutes, it doesn't earn a post**.**
2. Does it affect a meaningful slice of the community? Roughly 10 to 20% of active members is the bar. But because the rule is two out of three, a rare question can still get through if it clears the others. That's the safety valve for the high-value question that only one or two people thought to ask.
3. Is it a real gap, or just a doc fix? If the answer points to something structural, like a missing feature or a confusing pattern, it counts. If it's really just "we should update the doc," that belongs in the docs, not in a public post.

There's also a promotion cap. If the model promotes more than 70% of the clusters in a run, it has to stop, re-rank them from weakest to strongest, and keep only the ones that still clearly earn a spot. That exists because I've found that LLMs love to promote everything when you let them, and the whole point is to stay selective.

The one thing I deliberately left out is frequency. Most community tools sort by how often something comes up, which makes sense for triage because you answer the frequently asked questions first. But for content, that same sorting buries the questions I most wanted to find. So a single question can earn a post if it reveals a real gap, while eight versions of "where do I start" might not (especially because my answer there is usually "just read the docs.").

The pipeline scores, drafts, and pushes everything on its own. My review happens at the very end, inside Buffer. Ideas land in the Create space for me to develop, and posts wait in the queue for a final pass before anything goes live.

How Buffer fits into the system

Three custom nodes handle the handoff, each one responsible for a single Buffer API call. The first creates an idea in Buffer's Create space for every promoted theme. The other two queue the posts, one for X and one for Threads, and Buffer spaces them across the days so I never have to set times by hand.

One practical note if you're ever calling Buffer's API from a low-code tool or a script: your requests need to look like they're coming from a browser. Buffer's API sits behind Cloudflare, a security service that filters out automated traffic, and a bare script is exactly what it's built to catch. The fix lives in the headers, the small labels attached to every request that tell the receiving server who's asking and what they want back.

Alongside the two standard ones (the content type and my access token), I added four more that a real browser would normally send:

• which browser it is
• what format it expects back,
• and which site the request is coming from.

With those in place, every call goes through cleanly. The screenshot below shows all six.

Once the push is complete, the results get sent into a second Notion database, the Content Pipeline Log.

Each theme gets a status like "Idea Created, X Queued, Threads Queued," stored next to the run date and links back to the original questions. So every post traces back to the question that started it. If a post does unusually well, I can find the question behind it and look for nearby ones worth a follow-up, and if anyone on the non-profit board asks how I'm choosing what to publish on our behalf, I can show them the exact question, channel, and date behind every post.

Buffer is also where I review. Ideas land in the Create space for me to develop, and posts wait in the queue for a final pass before anything goes live. The screenshots here are from my first full run, which pulled 18 questions out of the four channels and turned them into five content ideas and 10 scheduled posts, five each for X and Threads.

How I got the posts to sound like me

This was the part I was most worried about going in. I've seen what community content sounds like when generic AI takes the wheel, and I didn't want anything I publish to read like a content bot. So

before I asked the model to generate anything, I showed it samples of how I actually write, so it could pull out the patterns and match them as best it could..

I used four samples: two were peer replies I'd written in our Slack, one was a longer-form post from elsewhere, and one was a DM (where my voice is most authentic).

On top of the samples, I gave the prompt a few hard rules:

1. Titles have to be short and specific, with no listicle stacking.
2. Posts have to open with the situation, not a hook.
3. The tone stays conversational and peer-to-peer.
4. And there's a flat ban on em dashes and AI fluff.

That last rule was the one major tweak I had to make between my first and final runs. While the initial output already sounded like me, I noticed a slight over-reliance on em-dashes. I know em dashes are a perfectly good punctuation mark that writers have used for years, but the truth is, I wasn't reaching for them before AI started putting them everywhere. (I genuinely don't know where that key lives on my keyboard.)

The last piece is a self-check. Before the prompt finalizes anything, it scans its own output for the banned patterns and rewrites whatever slipped through. That's the step that catches the small AI-isms that the sample-matching alone misses.

It took a few rounds of testing before the tone really blended. But once it did, the posts started coming out the way I'd write them if I'd sat down and done it myself.

Before vs after showing generic AI-generated posts next to the same post after the voice samples were added.

What's changed so far

The pipeline is recent enough that I don't have hard engagement numbers to point to yet. A few runs have been live for a few weeks, which is enough to feel the difference but not enough to prove it with a chart. But I have noticed a few shifts, especially in the way I work.

First, those 15 to 20 hours a week I'd been pouring into community ops dropped to a fraction of that. The triage, the drafting, and the manual content calendar all happen inside the pipeline now, and what's left for me is the review and approval. That alone was the change I needed most.

Deadlines are much less stressful, too. The most common blockers from past training rounds are already answered in public by the time the next application-day rush hits, so the same questions pile up less. When the flood comes, the answer is often already sitting there waiting.

The change that took the longest to notice is actually the one I care about most. The questions coming in are different now. Instead of re-asking the original problem, people reference the public post and ask the next question on top of it. This is a strong signal that the content is achieving my main goal: reaching members who wouldn't have spoken up in the first place.

Why I built this

The volunteer role isn't a small commitment. Leading a growing community is a real job on top of a real job, and by the time I started looking at automation seriously, it had started creeping into my paid work. I knew I had to do something.

The practical reason is the one most people will relate to. The rest of my community team aren't engineers, so I needed something they could keep running without me. That's what made my specific stack the right fit. Anyone on the team can refine a prompt or adjust a step in Gumloop, and Buffer turns whatever comes out into a real content calendar they can see, schedule from, and trust. Now the work doesn't depend on any one person being awake. Someone can keep things moving whether I'm at my desk or asleep on a different continent.

There's also something about volunteering that keeps drawing me back. Sometimes I think God leads us to give without expectation, to plant seeds we may never personally harvest. Building this was one small way of doing that. Every question in those channels belongs to a real person trying to learn, build, or move forward. The more of those people I could help, the more worthwhile the effort felt.

Ready to build?

If you're taking Buffer's API for a spin, we've got resources to get you moving. Our developer docs cover the GraphQL schema, auth flow, and quick-start examples. The Buffer MCP server docs walk through plugging it into Claude or any MCP-compatible AI agent.

If you need hands-on help, our support team is around, or you can join our Discord server and chat to other people building with the API.

We'd love to hear about what you make. Find us in Discord, or @buffer on all major social channels.

For a long time, my ideas were scattered everywhere. Some were in my Notes app. Others were screenshots on my phone that I’d never opened again, or buried in old Claude conversations. Sometimes I'd remember a good line from a voice note I recorded months ago, but have no idea where to find it.

Everything was saved somewhere, just never anywhere I'd look when it was time to make something.

And even with this mega-level disorganization, I had been getting by fine. I have an 80-week creation streak in my personal Buffer account, and that's not counting the content I make for Buffer's channels. Coming up with ideas has never been my problem. Finding them again is.
So when MCPs started gaining traction, I went all in (though not in the way most tutorials suggested).

An MCP (Model Context Protocol) lets an LLM connect directly to the tools you already use, no code required. Most guides stop at what each individual connection can do, which is plenty useful. What changed how I work is using MCPs to pull all my scattered ideas into one place, then create and publish from that same place with tools that also run on MCPs, like Buffer, Canva, and Descript.

These are the 8 MCP servers I use every week to turn random ideas into finished posts without switching between a dozen tabs. Here's the stack and how each one feeds into the next.

The short version

Buffer is the best MCP server for social media if you post to more than one platform. It's a multi-platform MCP built for people who don't write code, it's free to connect, and it covers both ends of my system: a place for capturing ideas and a place for scheduling finished posts.

It’s in the top spot for a simple reason: every other tool in my stack exists either to get content into Buffer or to make the content that ends up there. Notion is home base for storing research, Granola pulls quotes out of my recorded calls, Google Workspace handles the admin, Elicit backs up my takes with research, Sublime holds everything I've saved from around the web, and Canva and Descript help turn an idea into something I can post.

Key takeaways

• Buffer is the best multi-platform MCP server for social media. It's built in partnership with social platforms, is free to connect, and works as both the place I capture ideas and the place I schedule posts. It connects to Claude, ChatGPT, Perplexity, and other MCP-compatible assistants.
• MCPs are the no-code version of APIs. You connect a tool once through OAuth, then ask Claude to do things in plain English.
• Every MCP in this stack is official and OAuth-based. You authorize access through your normal login and can revoke it anytime, which matters when you're connecting tools to your social accounts.
• The stack splits in two: capture and create. Notion, Sublime, Granola, Google Workspace, and Elicit gather and organize the ideas; Canva, Descript, and Buffer turn them into finished posts.

⚡Note: You will need at least a paid plan for your AI Assistant of choice to use many of these tools

How I think about my MCP stack

Before we get to the list, here's how the tools fit together, because that matters as much as what each one does.

One hub with two jobs

The hub is the AI assistant you already use (for me, that's Claude), and the two tasks are to capture and create.

A Capture task is anything that gets an idea into your system: a note, a voice memo, a line from a call, a post you saved.

A Create task is anything that turns that idea into something you can publish: a caption, a graphic, a cleaned-up video. Almost every MCP in my stack does one of those two jobs, while a couple of them do both.

Think in hand-offs, not single tools

Most people connect one tool and use it on its own, which is a good place to start. But I’ve seen the most benefit from the hand-offs.

An idea gets captured in one place, organized in another, and made into a post in a third, without you leaving the conversation to move it along. A quote that Granola caught on a call last month became a scheduled LinkedIn post in Buffer without me opening either app.

And there are even deeper levels to MCP usage, with my setup being a pretty simple one in the grand scheme of things.

Stick to official MCPs that use OAuth

When I'm deciding what to connect, I check for two things.

The first is official over individual. Anyone can build an MCP server, and many useful ones come from independent developers. But if something is going to have so much access to my data, I want it to be something that a company with strict security standards is accountable for.

The second is how you connect. The best MCPs run on OAuth, so you authorize them through your normal login (the same way you'd connect one app to another, like Instagram to Buffer), and you can revoke that access whenever you want.

Okay, now that we have that locked in, let's get into my list.

Buffer

Best for: Anyone posting to more than one platform who wants one place to capture ideas and schedule the finished posts.

I have my Buffer connected to Claude, which gives it direct access to my connected channels, my posting queue, and of course, my ideas board. The MCP is powered by Buffer’s API, and once you connect it, you can manage your whole queue by asking Claude in plain language.

Scheduling is the obvious use case, but for me, it's a capture layer for my ideas.

I'll be reading something on my phone, or halfway through a Claude conversation that's turned into a half-formed post idea, and instead of stopping to open Buffer and log it, I just say "save this as a Buffer idea." It lands on my ideas board, tagged for the right platform, ready to be developed later. By the time I sit down to batch my content for the week, the board is already full of starting points I'd otherwise have lost.

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However, you can't pull analytics through the MCP yet, so anything that depends on performance data still happens in the Buffer dashboard. For me, the MCP is a new front door to the queue, not a full replacement for it.

💡 Here's how to connect the Buffer MCP

Notion

Best for: Anyone who already stores their notes, ideas, or resources in Notion and wants to put them to use.

The Notion MCP gives Claude access to years of my notes and ideas, all saved as Notion pages. That includes every resource I've ever built to share with my audience, like my database of 100+ remote work resources.

That database is my best example of why this connection matters. I built it to be shared, but a resource only helps people if they keep hearing about it. With the MCP connected, I can ask Claude to help me find new ways to point people to it: text posts, short videos, carousels.

Most recently, I asked for a hook for an Instagram trial reel (b-roll with on-screen text) plus a caption that sends people to the database through DM automation. In my capture-and-create split, this is Notion's job: it's the deep storage the rest of the stack pulls from.

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It's not just audience-facing content, either. I keep a page to track my brand partnerships, and when a campaign wraps, I can spin up a post-partnership analytics doc and quickly share it with the brand, all from the same conversation.

Even with all that, I believe I’m still underusing this one. The obvious next step is to have Claude help me build new resources from the notes already sitting in there, not just promote the ones that exist.

💡 Here's how to connect the Notion MCP

Granola

Best for: Anyone who spends a lot of time on calls and suspects that half of what they say and hear could be content.

Granola records and transcribes my calls, and the MCP gives Claude access to all of those transcripts.

I started out using it for team calls, mostly to build internal communication and a reference library out of meeting notes. But lately I've been joining more calls with communities I'm part of and doing more interviews for podcasts and blog content, and those conversations are always valuable. I kept surprising myself with what I said, and realizing that a lot of what I was saying (and hearing) could be turned into content. But none of it was being captured.

Now I have Claude go through my Granola transcripts and pull content ideas. That's usually enough of a starting point for me to develop a post, and it usually becomes a carousel. These are ideas I never would have thought to write down before, and a one-hour conversation can yield weeks of content ideas.

If you're joining a lot of Zoom calls, or even listening to a lot of podcasts and video essays on YouTube (another place this has earned its keep for me), this is an extra content layer on top of something you're already doing.

💡 Here's how to connect the Granola MCP

Google Workspace

Best for: Creators who use any Google tool

I have my whole Google Workspace connected, but the thing I use it for most as a creator is staying on top of my emails. I've never been an inbox zero person (I'm more of an inbox 99,999 person), but there's a level of organization you need to be a successful creator, and I wouldn't get there without this MCP.

With it, I can ask Claude to keep track of ongoing conversations, find lost threads, set reminders for who I owe a reply, and flag potential brands to reach out to. The things that used to fall through the cracks of my inbox get surfaced instead.

I use the calendar side a lot, too. Being able to organize my schedule in natural language ("[real example of something you'd type]") is a bigger help than it sounds.

This is the one tool in my stack that doesn't really touch content. But it's what keeps everything else running.

💡 Here's how to connect the Google Workspace MCP

Elicit

Best for: Creators whose content makes claims about how things work, and who'd rather check than guess.

I connected Elicit because I wanted to strengthen my ideas. As a consumer, I prefer content that's based in research, and I didn't want to say things without being sure, without the backing of peer-reviewed work (at least where possible).

So Elicit was a dream find. Through the MCP, I can look through multiple papers at once, make connections between them, find related work that I’d never have surfaced on my own, and generally prove or disprove my own theories before they become posts.

Now, I don't put citations in my content as I’m not making purely educational content that makes hardline claims. But I like knowing that if anyone asks why I made a certain inference or mentioned something, I can point them to the research behind it.

One feature worth calling out: give Elicit the topic you're trying to tackle, and it can pull a group of studies together into one new paper you can share with your audience. The research becomes a resource in itself.

💡 Here's how to connect the Elicit MCP

Sublime

Best for: Creators who save everything (quotes, articles, Instagram posts) and want those saves to lead somewhere.

If Notion is where my own work lives, Sublime is where everyone else's lives. It's a tool for saving and connecting ideas: I store quotes, articles, and Instagram content there through the Chrome extension and the Instagram connection, all sorted into collections. Mine range from carousel formats I want to try to research on creator income.

What makes Sublime different from a bookmarks folder is that it's connected to a library built by every other Sublime user. When something catches my eye, the recommendation algorithm helps me understand it deeper, surfacing related ideas other people have saved, until I've got a fully formed idea woven together from a web of connected ones.

With the MCP connected, Claude can search all of it. When I'm developing a post, I can pull the quote I half-remember or the carousel format I saved a month ago without digging through my collections by hand.

One thing to know: there's no back-and-forth between Sublime and Claude. Claude can read my library, but saving still happens in Sublime, through the extension or the app. I personally like it that way. It means everything in there was added organically, by me, when it actually caught my eye.

Canva

Best for: Creators who already design in Canva and want to stop rebuilding the same assets from scratch.

With Canva connected, I can start a carousel idea in Claude and transfer it over once I have the copy. I can also reference my existing design library and assets, so I get ahead of spending hours figuring out where certain text should be placed.

All of my templates, fonts, and colors already live in Canva, so this was a no-brainer inclusion in my workflow.

This one doesn't stay all in Claude, though. I tend to move to Canva to finish up designs and export.

💡 Here's how to connect the Canva MCP

Descript

Best for: Creators who record long and post short — podcast episodes, interviews, and webinars that need to become clips.

This one is my newest discovery and potentially a game changer for creators. Descript's MCP only launched in May 2026, and I'll be honest: I haven't run many videos through it yet. It's still one of the coolest finds in my stack, and the one I want to use the most.

Once your video is in Descript, you can reference the raw file in Claude. Even better, you can edit it from the conversation: cut filler words, clean up the audio, add captions, pull out clips, and build a rough cut, then generate the accompanying copy for the post while you're at it.

Under the hood, your requests go to Underlord, Descript's AI editing assistant, so if you can ask for it in Descript, you can now ask for it from Claude. Descript's own pitch is that it handles 90% of the work and you show up for the last 10%. That last part matters: this isn't hands-off editing. You still open Descript to review the cut and make it yours.

A few things to know before connecting it: you need a paid Descript plan (the MCP costs nothing extra, but edits draw from your plan's AI credits and media minutes), and you can't import from YouTube links, only files and direct URLs.

What I'm looking out for in future updates is whether it'll eventually handle the finishing touches creators actually spend time on: transitions, sound effects, text on screen beyond captions.

💡 Here's how to connect the Descript MCP

Start with one connection

If this list feels like a lot, that's because you're seeing a system that’s grown over time. Mine actually started with Notion and grew from there as I discovered more tools, and yours can too.

Here's what I'd do to start: connect one MCP to the assistant you already use, and make it the one that catches ideas. For me, that's Buffer. It's free to connect, and the next time a good line shows up mid-conversation, you say "save this as a Buffer idea" and it'll be waiting for you when you’re ready to create.

You'll know it's time to add the next tool when you catch yourself switching tabs to move an idea along. If that tab happens to have an MCP, that’s your next connection.

FAQs about MCP servers for social media

What is an MCP server?

An MCP (Model Context Protocol) server lets an AI assistant like Claude, ChatGPT, or Perplexity connect directly to another tool, like Buffer, Notion, or Canva. Once connected, you can ask the assistant to do things in that tool using plain language: save an idea, schedule a post, pull a transcript. No code required.

Do I need to know how to code to use MCPs?

No. Every MCP in this article connects through OAuth, which means you authorize it through your normal login, the same way you'd connect Instagram to Buffer. If you can connect two apps, you can set up an MCP.

What is the best MCP server for social media?

Buffer is the best MCP server for social media if you post to more than one platform. It's the only official, multi-platform option built for non-developers, it's free to connect, and it handles both capturing ideas and scheduling posts. The full breakdown is at the top of this article.

Are MCP servers free to use?

The MCP connection itself is usually free, but most require an account with the underlying tool, and some require a paid plan. Buffer's MCP is free to connect. Descript's MCP is free but requires a paid Descript plan, and edits draw from your plan's AI credits.

Are MCPs safe to connect to my social media accounts?

They're as safe as the tool behind them, which is why I stick to two rules: only connect official MCPs (built by the company, not a third party), and only use ones that run on OAuth so you can revoke access anytime from your account settings.

If you’re comparing social media management tools, Buffer and Metricool will probably both end up on your list — they certainly did for me! They’re in a similar price range, they cover similar platforms, and they show up in a lot of the same “best of” roundups.

They also have strengths in different areas, as I discovered upon extensive testing. 🤓 Which one works better for you comes down to how you work.

Buffer serves creators, solopreneurs, small businesses, agencies, and growing teams that want a simple, flexible publishing workflow and an easy way to stay on top of comments. 

Metricool is built for marketers and agencies who want to track competitors and need detailed reporting to share with clients or stakeholders.

In this guide, I’ll compare both platforms so you can decide which is the right one for you.

Key takeaways

• Buffer offers a free-forever plan with 3 social channels, 10 scheduled posts per channel (refillable anytime), API access on every plan, and basic analytics. Metricool's Free plan covers 1 brand with a maximum of 20 published posts a month, although LinkedIn and X/Twitter aren’t available on the free plan.
• Buffer’s paid plans scale per channel; Metricool’s scale per brand with paid add-ons. Buffer's Essentials plan is $6 per channel per month. Metricool's Starter plan is $25 per month for 5 brands, with a $10 per month add-on for each X/Twitter account you connect.
• Buffer’s Team plan ($12 per channel per month) includes unlimited users. Metricool’s team features are part of the Advanced plan that starts at $67 per month for 15 brands.
• Metricool’s competitor tracking is a differentiator. It lets you track up to 100 competitor profiles on paid plans and 5 on Free. Buffer doesn’t offer competitor tracking.
• Buffer’s AI Assistant is unlimited on every plan. Metricool’s AI text generator is capped at 5 credits per month on Free and 35 per brand per month on Advanced.
• Buffer supports 11 platforms, including Mastodon and Instagram personal profiles. Metricool also supports 11 platforms, including Twitch, with X/Twitter supported as an add-on on paid plans for an additional $10 per month per X account.

Buffer vs. Metricool at a glance

Let's look at the differences in more detail.

Plans and pricing

Here's what plans on Buffer and Metricool cost as of June 2026.

Buffer pricing (billed monthly, annual saves 20%)

• Free: 3 channels, 10 scheduled posts per channel (refill anytime), 1 user, AI Assistant, API access, analytics, community inbox
• Essentials: $6 per channel per month. Unlimited posts, 1 user, advanced analytics, hashtag manager, first comment scheduling
• Team: $12 per channel per month. Unlimited posts, unlimited users, approval workflows, custom permissions

Buffer lets you build your own channel lineup. You can add the platforms you use, leave out the ones you don't, and your plan adjusts accordingly. You can also add multiple accounts on each social media platform.

See Buffer's full pricing guide here →

Metricool pricing (billed monthly; annual saves around 20%)

Metricool’s pricing is built around the concept of “brands.” One brand includes one account from each supported social platform.

• Free: 1 brand, up to 20 published posts per month, no LinkedIn or X
• Starter: starts at $25 per month for 5 brands, basic analytics, 100 scheduled posts per month, AI text limited
• Advanced: starts at $67 per month for 15 brands, team features, deeper reporting, 35 credits for AI generations per brand
• Add-ons across paid plans: $10 per month per X/Twitter account

I want to make sure I flagged the add-on structure clearly, because I think it's the part most people may miss when comparing the entry-level pricing. 

If you post to LinkedIn, you’ll need a paid plan on Metricool. It’s also worth noting that you can connect to either a LinkedIn profile or a LinkedIn page on one brand, but not both.

See Metricool's full pricing guide here →

What this means in practice

Here's a real scenario: a solo creator posting to Instagram, TikTok, LinkedIn, and X/Twitter.

• Buffer Essentials: 4 channels x $6 per month = $24 per month. Everything included.
• Metricool Starter: $25 per month base + $10 X/Twitter add-on = $35 per month.

That’s fairly close at four channels. For each channel you add, your Buffer plan would go up by $6 per month, while Metricool would stay at $35. If you drop it down to three, the price would drop to $18 on Buffer and stay $35 on Metricool.

Scale it up to a three-person small business managing eight channels (two Instagram accounts, two Facebook pages, two LinkedIn pages, one TikTok, one X/Twitter):

• Buffer Team: 8 channels x $12 per month = $96 per month. All three team members included.
• Metricool Advanced: $67 per month base + 1 X/Twitter add-on ($10) = $77/month.

Again, the price would change (up or down) if you added or dropped channels on Buffer, while Metricool’s stays at $77 per month.

Since a brand on Metricool means one account from each supported social platform, this works well for most people. If you’re managing more than one —  a founder’s LinkedIn plus the company page, or one Facebook Group for your wedding photography business and another for corporate events — each one needs its own brand, which means your reporting is split across brands rather than in one place. It won’t add to your costs, but it’s worth knowing before you set things up.

Scheduling and publishing

Both Buffer and Metricool let you schedule posts across multiple platforms from a single dashboard. The differences show up in their interfaces and in how complex each one is to use.

Buffer's scheduling is intentionally simple. Write your post in the composer, choose your channels, customize per platform if you need to, and schedule. 

On the Team plan, anyone who needs sign-off hits “Save and Request Approval” instead of scheduling, and an approver can edit, approve and schedule, or reject.

You don’t even have to think about when to post. You can set up posting slots for each channel, and when you hit schedule, a post gets added to the queue and will be published in the next available slot. You can treat it as a “set it and forget it” schedule, or change it at any time.

Under ‘Generate New Posting Slots,’ you’ll find the option to ‘Set Recommended Times,’ which autopopulates your schedule with the best times to post for maximum engagement, based on the latest data from Buffer’s data science team. 

You can also get optimized posting times within the composer window, as in the screenshot below (one of my favorite features!).

You can also bulk upload posts using a CSV file. These posts automatically get added to your queue for the channel you’ve selected, or you can add a custom time for one or more posts in the CSV file.

Metricool’s planner works differently. There’s no “set it and forget it” queue for individual posts. You open the planner and click on the create post button or on the calendar to open the composer. There, you can compose, customize, send for review, and schedule.

For some channels, the calendar view has a heatmap for the best times to post. You can drag and drop scheduled posts onto a time slot of your choice.

Metricool also offers autolists, a feature that loops content automatically at specific times you choose. Unlike Buffer’s queue, these set times apply only to autolist posts. You can connect it to an RSS feed for your blog or YouTube channel, or use it to publish the same posts again on a recurring schedule.

If your content is mostly fresh posts, Buffer's queue keeps things moving without much overhead. If you're regularly recycling evergreen content or syndicating from an RSS feed, Metricool's autolist feature makes that easy to do.

Analytics and reporting

Buffer Insights are simple, designed to help you interpret the numbers, rather than just present them to you. The AI-powered takeaways go through that data and come back with specific suggestions like engaging with your audience, repurposing a post, or posting more in a certain content format. 

Insights is available on every plan and covers post-level performance and follower growth data across your channels. 

You can set any time range — the past 7 days, the past 30 days, the past quarter — and compare it against the same period before it or the same period last year. That flexibility is useful when you want to see how your numbers have shifted over time, not just week to week or month to month.

Paid plans also come with PDF, Markdown, and CSV export options. PDF reports are available for all your channels combined or broken down by individual channels, which is useful if you need to share the data with a client or stakeholder.

Markdown and CSV formats work well if you want to pull your data into ChatGPT, Claude, or your LLM or custom tool built on the API to dig into the numbers yourself.

📍 See Buffer's full analytics breakdown →

Metricool is great, but a little different. It packs a lot into its reporting for the price. You get platform-by-platform breakdowns, a custom report builder, granular post-level data, and audience demographics across every connected channel. You can also connect your website and see which posts and campaigns are sending people your way.

On paid plans, you can customize reports and download them in PDF or PowerPoint formats, schedule monthly email reports to go out automatically to multiple recipients, and include a personalized message with each one.

There's more on the advanced side, too. At the time of writing this, paid plan users get free access to advanced reporting, with caps based on your plan. This includes Metricool Studio, which lets you create AI-generated reports to analyze brand metrics, compare brands, or compare multiple periods of the same brand. Unlimited advanced reports are a paid add-on.

Metricool also connects directly to Google's Data Studio (formerly Looker Studio), so you can pull your data in and build custom dashboards there. 

All of that adds up to a reporting setup that's impressive at this price point.

There's also a hashtag tracker, which costs €25 to track any hashtag for 24 hours per social network.

If your job involves regular, detailed stakeholder reports, Metricool handles that natively. If you want to understand what's resonating and decide what to post next, Buffer's Insights are faster to read.

Inbox and engagement

Both Buffer and Metricool let you engage with your audience without leaving the tool, with different approaches.

Buffer focuses on comment management and covers a lot of ground: You can use it to track and reply to both comments and mentions on Facebook Pages, Threads, Bluesky, LinkedIn profiles and pages, X/Twitter, Instagram professional accounts, Google Business Profiles, TikTok, YouTube, and Mastodon. 

Buffer’s AI assistant also suggests replies, so you can respond quickly or use the suggestion as a starting point and take it from there.

Some other great quality-of-life features are the ability to save replies you’ll use often (like responses to frequently asked questions), plus a Comment Score, to incentivize you and your team to stay on top of responses. 

Metricool’s engagement covers Facebook Pages, Instagram professional accounts, LinkedIn Pages, X/Twitter, and Google Business Profiles. It’s a narrower set than Buffer, and it doesn't include LinkedIn personal profiles. 

Where Metricool goes further is in DMs: it supports direct messages on Facebook, Instagram, and X, which Buffer doesn't.

Which one works better for you comes down to what your engagement looks like — a wide range of platforms for comments, or a tighter set of platforms that includes DMs. 

Competitor tracking

Metricool has a built-in competitor tracking feature that lets you monitor other accounts' performance, which is something Buffer doesn't offer. 

You can add competitor profiles from Instagram, Facebook, Threads, Bluesky, and Twitch on all plans. If you’re on a paid plan, YouTube and X/Twitter are in the mix too.

You get up to five competitor profiles on the Free plan, but there’s a catch: once you've added one, you can't edit or delete it. It's worth being selective from the start. Paid plans don't have that restriction, and you can track up to 100 profiles that you can swap out at any time.

For each competitor, you get metrics like followers, replies, likes, reposts, views, and quotes. You can spot what's working in your niche, benchmark your own performance, and pull competitor performance straight into your monthly reports.

Buffer doesn’t compete on this. Buffer’s focus is on creating and publishing your own content well, so competitor tracking isn't something it offers.

API and MCP

If you’ve ever wanted your social media management tool to talk to the other apps in your workflow, both Buffer and Metricool have options for that.

Buffer’s API is available on all plans, including Free. I’ve used it to build two workflows and, as a non-technical person, I can tell you it's easier to get started with than you might expect.

I’m not the only one. Buffer users have built some really cool things with the API, like a content engine that took the creator from impulse-posting to 21 scheduled posts a week, and a custom app that replaced three separate platform integrations with a single API call. If you like to tinker, the API opens up possibilities for how to make your social media workflow your own.

Beyond the API, Buffer also has an MCP that connects to tools many folks are already working in, like Claude, ChatGPT, Perplexity, Cursor, and Raycast. Ask them what's scheduled for the week, brainstorm ideas and save them directly to Buffer, or draft and schedule posts without switching tabs.

Metricool has an MCP too, and it's available on all plans — just keep in mind that your plan limits still apply when you use it. Posts scheduled through the MCP count toward your monthly limit on the Free plan the same way anything else does. 

Where Metricool differs is on the API side: it's only available on Advanced and Custom plans, and it covers metrics access and export as well as scheduling and publishing automation.

AI features

One area where Buffer and Metricool take different approaches is AI.

Buffer's AI Assistant is available on every plan, including Free, with no cap on how much you use it. You can generate post ideas, write drafts, repurpose content for different platforms, create alt text for images, and brainstorm hooks whenever you need to. 

Outside of the scheduling features, AI-suggested replies are built into the Community inbox so you have something to work from instead of starting from scratch with each reply. 

And in Insights, the AI goes through your performance data and comes back with specific suggestions — repurpose a post that did well, try a different content format, engage more with your audience — tailored to your account.

Metricool's AI text generator covers a lot of similar ground: post ideas, captions, hashtag suggestions. Where it differs is in its usage caps. On the Free plan, you get 5 monthly AI credits total. On the Advanced plan, that goes up to 35 credits per brand per month. If you're drafting with AI’s help regularly, those limits arrive sooner than you'd think.

One feature of Metricool’s AI is brand voice configuration. You can set custom instructions for each brand, and go a level deeper by giving each platform within that brand its own voice. 

Your LinkedIn posts and your TikTok captions can sound different and platform-specific while still sounding like you. For anyone managing multiple brands or writing for clients, that saves time in the drafting process.

Buffer's AI Assistant doesn't have brand voice settings, so the output is more of a starting point than a finished draft. 

Metricool also has AI-generated reports through Metricool Studio, which I covered in the analytics section. They're available at no extra cost on paid plans for now, though they'll move to a paid add-on later.

On Buffer, you can lean on AI as a normal part of your daily workflow on any plan. On Metricool, the monthly caps mean you'll want to be more deliberate about when you use them.

Supported platforms and integrations

The platform coverage between the two tools is close.

Buffer currently supports 11: Instagram (personal, creator, and business profiles), Facebook, LinkedIn, X/Twitter, TikTok, YouTube (Shorts only), Pinterest, Google Business Profile, Threads, Bluesky, and Mastodon.

Metricool also supports 11 platforms: Instagram (business and creator profiles only), Facebook, LinkedIn, X/Twitter (paid add-on), TikTok, Theads, Bluesky YouTube, Pinterest, Google Business Profile, and Twitch.

Buffer has a track record of picking up newer platforms early. Mastodon is a good example — if that's part of your posting mix, Buffer is the only tool of the two that covers it.

If you schedule content around streams or publish on Twitch alongside other channels, that's coverage Buffer doesn't have. Metricool also has native ad management for Meta, TikTok, and Google Ads built into the same interface, so you can handle both organic and paid from one place.

Ease of use

The two tools have a pretty different feel from the moment you log in for the first time.

Getting started on Buffer takes a few minutes. Connect your channels, set a posting schedule, and start creating. Everything you need is ready to go almost immediately, which means most of your time goes into making content rather than learning where things live.

Metricool's interface is denser, and that density is a reflection of what it does. There's more to configure — reports, competitor tracking, autolists, ad management — so it takes longer to get oriented. For users who genuinely need that depth, the time spent learning it pays back. For users who don't, it can feel like a lot to work around.

Who should pick which tool

Both Buffer and Metricool have strong feature sets, and the right choice comes down to how you actually work. Here's how I'd think about it.

Creators and solopreneurs

Pick Buffer. The free plan is a genuine free plan, not a 7-day trial, and it includes the AI Assistant with no caps as well as the API and MCP. When you're ready to grow, Essentials at $6 per channel per month gives you unlimited posts and full analytics. For a solo creator on four channels, that's $24 per month total. Metricool's free plan won't get you very far if you post to LinkedIn or X/Twitter, and the Starter plan plus add-ons sits at around $35 per month for the same setup (including X).

Small businesses and growing teams

Pick Buffer (usually). The Team plan at $12 per channel per month includes unlimited users, approval workflows, and custom permissions by default. A five-person small business managing eight channels pays $96 per month total. Metricool's Advanced plan ($67 per month plus add-ons) gets you team features, but you'll feel the AI caps if your team drafts with AI regularly. If you specifically need competitor tracking or detailed client-facing reports, Metricool earns its place even at this size.

Marketing agencies

It depends. This is the segment where Metricool is strongest. The competitor tracking, customizable PDF reports, and per-brand pricing are built for agency workflows. If your day-to-day involves managing 10+ client brands and presenting monthly reports with competitive benchmarks, Metricool's Advanced plan is purpose-built for this.

Buffer is a stronger fit for agencies where the work is primarily about producing and scheduling content across client accounts — teams that want a clean, low-overhead tool rather than one built around analytics-heavy workflows. The Team plan is easy to onboard new team members onto, and the per-channel pricing adjusts naturally as your client roster changes.

Data-led marketers

Lean toward Metricool. If you spend most of your week inside analytics dashboards, building custom reports, tracking competitors, and pulling granular data, Metricool's reporting depth is hard to beat at this price. Buffer is not trying to be a deep analytics platform, and that's a deliberate choice.

Rounding up

Buffer and Metricool solve different problems for different kinds of users.

If you want clean scheduling, useful AI on every plan, a free plan that's genuinely usable, and pricing that scales sensibly with the platforms you use, Buffer is the stronger choice. Starting at $6 per channel per month (or free, if you're just getting started), it covers what most creators, small businesses, and growing teams need without forcing you to learn a complex tool.

If competitor tracking, deep custom reporting, and managing many brands at once are central to your work, and you're willing to learn a heavier interface and absorb the add-on pricing for X/Twitter, Metricool earns its place.

Both tools have free options, so the easiest way to decide is to set up both and spend a week using them the way you'd actually use them. The right one will become obvious fast.

We'd love for you to try Buffer. The free plan is a real free plan, with no credit card, no trial period, and no expiry date. Sign up here to get started.

Frequently asked questions

Can I switch from Metricool to Buffer?

Yes. Buffer's setup takes a few minutes: connect your channels, set your posting schedule, and start creating. There's no automatic way to bring scheduled posts over from Metricool, but you can start scheduling new content in Buffer right away. The free plan lets you test Buffer indefinitely without a trial period or expiry date.

Does Metricool have a free plan?

Yes, but it's limited. Metricool's free plan covers 1 brand with a maximum of 20 published posts per month total, and excludes LinkedIn and X/Twitter. It's best treated as a way to test the product before committing to a paid plan. Buffer's free plan, by contrast, includes 3 channels with 10 scheduled posts per channel (refillable at any time) and the AI Assistant and API access on every account.

Does Buffer have competitor tracking?

No. Buffer doesn't offer competitor tracking at any tier. If competitor tracking is a feature you actively use, Metricool is the stronger choice. It lets you track up to 100 competitor profiles across most major platforms with engagement and frequency reporting.

Which has better analytics, Buffer or Metricool?

It depends what "better" means for you. Metricool's analytics are deeper, with custom report builders and granular platform metrics. Buffer's analytics cover post performance, follower growth, and channel data too — and layer AI-powered takeaways on top that go through your data and come back with specific suggestions. For day-to-day content decisions, Buffer is faster. For monthly stakeholder reports with competitor benchmarks, Metricool is more flexible.

Is Metricool's AI Assistant unlimited?

No. Metricool's AI text generator is capped at 5 credits per month on the Free plan and 35 credits per brand per month on the Advanced plan ($67 per month). Buffer's AI Assistant is unlimited on every plan, including Free.

Is Buffer good for agencies?

Buffer's Team plan at $12 per channel per month includes unlimited users, approval workflows, and custom permissions. For agencies focused on content creation and scheduling for clients, Buffer scales well. For agencies that build strategy off competitor tracking and present detailed monthly reports to clients, Metricool's agency-focused plans are built for that workflow.

You know how to schedule a week of posts in one sitting, keep up with comments across five channels, and 'B2B, but make it fun’ is practically your middle name. Same!

The nod to ‘social media management’ on our LinkedIn profiles doesn’t quite cover all that, does it?

Allow me to introduce you to LinkedIn’s Connected Apps. As of June 2026, you can connect Buffer to your LinkedIn profile and have the work you actually do show up as a capability — validated by Buffer, based on your real activity.

Here's what that means, which capabilities you can add, and exactly how to put one on your profile.

What are LinkedIn Connected Apps?

LinkedIn’s Connected Apps are LinkedIn-approved tools you can connect to your profile, turning your real product usage into credible, visible expertise.

You may have seen the idea already — perhaps you’ve spotted how Duolingo users can add their score to their profile? It’s exactly like that. And now a host of other tools (including Buffer!) are one of those connected apps.

When you link your LinkedIn profile to Buffer, the work you're already doing (scheduling, replying, publishing, and building with the API) can appear on your profile as a capability statement like "Schedules and publishes posts across multiple social media accounts in Buffer."

You don’t need to apply or submit anything for approval to get yours. All you need to do is toggle the feature on in your Buffer settings, and Buffer will flesh it out for you. Pretty cool, right?

How Buffer Capabilities work

The whole thing runs on real activity. Here's the short version:

1. You use Buffer the way you normally would — scheduling posts, replying to comments, publishing across your channels.
2. Buffer recognizes it. When your Buffer usage matches a capability (say, publishing to two or more channels), Buffer picks that up and validates it.
3. You choose to display it. Nothing appears on your profile automatically. You opt in and pick the capability you want to show.
4. It shows up on LinkedIn, attributed to Buffer, with a link out so anyone viewing your profile can see what it represents.

This works on personal LinkedIn profiles only, not pages, and at launch, you can display one capability at a time. (More on the why behind that below.)

The capabilities you can add right now

Buffer is starting with four capabilities. Each maps to a specific kind of work in the product, so the only way to add one is to actually do the thing.

• Schedules and publishes posts across multiple social media accounts in Buffer — based on publishing posts to two or more connected channels.
• Responds to comments and tracks mentions across multiple social channels in Buffer — based on engaging with comments, replies, and mentions across your connected channels.
• Publishes social content across Instagram and LinkedIn in Buffer for B2B and consumer audiences — based on publishing to both Instagram and LinkedIn through Buffer.
• Uses the Buffer API to build applications that automate social publishing and scheduling workflows — based on building an API client or shipping a Buffer integration.

The first three will fit most people managing social media day to day. The fourth is for the developers and vibecoders in the community — if you've built on the Buffer API, you can feature this on your profile, too!

How to add a Buffer capability to your LinkedIn profile

This will only take a few minutes:

Step 1: Connect LinkedIn OR refresh your connection

1. If you haven’t already, connect your LinkedIn profile to Buffer by clicking New > Channel > LinkedIn and signing in.
2. If you've already got a LinkedIn profile connected, you'll need to refresh the connection to unlock the feature. To do that, click on your name on the bottom left > Channels. From there, click on the gear icon next to your LinkedIn Profile (not page) and click Refresh Connection.

Step 2: Turn on capabilities

1. Click on LinkedIn from your channels list on the left, then the gear icon at the top of the window (near your name).
2. If you’ve already been using LinkedIn with Buffer for a while, you may already have some capabilities to choose from. Select the one you want to display on your LinkedIn Profile
3. Check your LinkedIn profile. The capability appears, attributed to Buffer, with a "Learn more" link for anyone who wants the details.

Click on General and scroll down to Show your Buffer Capabilities on LinkedIn. Toggle the button on.

Step 3: No capabilities showing yet? Give it time!

Keep using LinkedIn with Buffer to trigger your capabilities! If you have been doing this for a while and you don't see anything straight away, give it a day and make sure you've refreshed your LinkedIn connection in Buffer.

Here’s how it looks on my profile:

Why this matters for your profile

Social media work can sometimes feel a little intangible. You can grow an account into the thousands or run a multi-workflow content engine for a dozen clients, and still have very little on paper. A capability validated through a connected app is something you can actually point to when you're talking to a new client, applying for a role, or pitching for a project.

It pairs well with the profile work you're probably already doing. If you're optimizing your LinkedIn profile to stand out or building a personal brand on the platform, a validated capability adds a layer of proof that endorsements never could.

And for the freelancers and consultants in the community, it's one more credible signal when you're trying to source new clients on LinkedIn.

Similarly, it’s super handy for hiring managers looking for experience in a specific tool.

Ready to add yours? Connect your LinkedIn profile to Buffer and turn the work you're already doing into proof on your profile.

More LinkedIn

• How to Get More Followers on LinkedIn — Exactly What I Did to Get to 22K
• Why LinkedIn Is the Most-Cited Source in AI Search (and What Your Business Should Do Next)
• How LinkedIn’s Algorithm Works in 2026, According to the LinkedIn Team
• LinkedIn Marketing in 2026: The Complete Guide for Businesses and Creators

Three browser tabs open on your laptop, five apps on your phone, and you're copy-pasting the same caption into a sixth because that reel needs to go everywhere. If you're running multiple social media accounts, I'm willing to bet that was what your life looked like at some point this week. Because, same!

If you're a creator or brand active across several social media networks and you're looking to make those moments a little smoother, the goal shouldn't be "do more."

It's to do the repetitive parts once.

This guide walks through seven tactics that cut the busywork, whether you're posting for yourself or handling a handful of client accounts.

The short answer: The most efficient way to manage multiple social media accounts is to connect them all to one social media management tool and work from a single content calendar, scheduling posts, replying to comments and DMs, and checking analytics and insights from one dashboard instead of logging in and out of each app. Then add in templates, crossposting, and automation to remove the repetitive work, and add new platforms one at a time so you don't burn out.

Quick summary: how to manage multiple accounts

• Centralize in one tool: Connecting every account to a single dashboard replaces logging in and out of separate apps, so you schedule, engage, and report from one place. Buffer's free plan connects three channels and schedules 10 posts a month; paid scheduling is $6/month per channel.
• Build reusable templates: Repeatable post formats in Canva turn a from-scratch design into a quick swap and keep your branding consistent across accounts.
• Crosspost and repurpose: One strong piece of content can feed Instagram Reels, TikTok, and YouTube Shorts with little or no editing, which means more output without more work.
• Automate the repetitive work: Scheduling, analytics, and AI caption edits remove the manual tasks that make multi-account posting feel overwhelming.
• Scale one platform at a time: Master one network before adding the next so you don't burn out, then carry what works to each new account.

The 7 methods at a glance

Most people end up combining three or four of these rather than picking one.

1. Create templates for repeatable post formats

Templates for the post formats you use more than once cut your design time and keep your branding recognizable across every account.

Say you post a "social proof" graphic every Tuesday. Build an easily editable template in Canva (or any design tool you like) that you can update in a minute or two. A saved template turns what used to be a 20-minute design into a two-minute swap.

Plus, templates take some of that pressure off. You don't have to come up with something completely new every single day. You have a repeatable post format you can lean into that you already know performs well.

Example: Here's the template we use for our reel covers:

Imagine how quickly you'd be able to create similar posts. You swap the content, nudge the graphics if needed, and everything else is already done. Templates in your back pocket make posting feel a lot less like starting over every morning.

2. Mix content curation into your social media calendar

Content curation (organizing useful posts you didn't create into a digestible roundup) fills your calendar without making you create everything from scratch.

You've seen these: someone rounds up helpful content from other creators around one topic, or collects the best posts from a single thought leader. That's content curation, organizing information that isn't necessarily your own in a way that's useful to your audience.

It's easier than starting from a blank page, which helps when you're posting across several accounts. It's also genuinely useful for your audience, because you're doing the work of finding and organizing things they might have missed (and saving them time hunting for social media post ideas).

Mix curated content with your original posts. It keeps you publishing consistently and can become a content series that people look forward to. At Buffer, we do exactly this in our weekly newsletter, rounding up the best of what's happening in social.

3. Crosspost and repurpose your existing content

Crossposting means posting the same content across multiple platforms with little or no change. Laura Whaley, for instance, posted the same video on Instagram, TikTok, and YouTube Shorts.

Crossposting works best for platforms that take the same kind of content. Instagram Reels, TikTok, and YouTube Shorts all love short-form video, so a reel that did well can go straight to TikTok with no edits. That's the payoff of testing one network at a time: you build a content library you can lean on for the next one.

Posting to all your accounts at once is where a management tool earns its keep. Instead of opening each app and pasting the same thing five times, you write the post once in a single composer, pick the networks you want it on, and schedule it. The tool sends it to each platform for you, which is the fastest way to keep every account active without the copy-paste tax.

Content repurposing goes a step further: you use one piece to make new ones. We turned our long-form article on brands using Threads well into an Instagram carousel.

View this post on Instagram

A post shared by Buffer (@buffer)

You can turn your:

• Long-form writing into Instagram carousels, X or Bluesky threads, or LinkedIn posts
• Long YouTube videos into short-form clips for Instagram and TikTok
• Research reports into Instagram and Pinterest infographics

4. Automate routine tasks in your social media workflow

Social media automation means letting software handle the repetitive tasks (scheduling, reporting, caption tidying) so your time goes to the creative and strategic work. A few tasks worth automating when you're running several accounts:

• Scheduling: Use management software to queue posts for every account at once
• Analytics: Use analytics tools (like Buffer's Insights) to measure performance across platforms in one view
• Customer replies: Use chatbots to field the most common questions
• Caption writing: Use AI tools to refine your captions

For instance, Buffer’s AI assistant can shift the tone of a caption to be more formal, casual, or funny in a click.

Start by listing every task involved in running your accounts, from finding content ideas to adapting posts for different platforms. Then find the tools that take those off your plate, or at least make them faster.

5. Create a solid social media strategy and content calendar

A clear strategy is what tells your content calendar what to do. Without it, you're posting on instinct. Having one means you know your:

• Target audience and their pain points
• Networks your audience actually uses
• Goals, and how they ladder up to your business goals
• The content you can create to meet those needs

From there, your strategy fills in an actionable content calendar: what goes live, on which network, at what time, and why. That's the part that makes running several accounts feel orderly instead of frantic.

6. Use a social media management tool to run all your accounts in one place

A social media management tool is the single biggest lever here: it brings every account into one place so the whole thing feels manageable. Most tools let you:

• Connect accounts from multiple platforms in one dashboard
• Schedule posts in advance from a shared calendar
• Manage engagement across accounts, including comments, DMs, and more
• See built-in insights so you can measure what's working and adjust

Connecting all your accounts takes one pass: you sign up, authorize each network once, and from then on, every account lives together, so you plan and publish from a single calendar instead of hopping between logins.

They're popular with teams and agencies, but they're just as useful for a solo creator or a small business.

Once you've got a strategy, shortlist a tool that supports the networks you're on and can grow with you.

If you're looking for something affordable (or free to start), Buffer lets you connect up to three channels at no cost and schedule ten posts per month.  The free plan also includes the AI assistant, a landing page builder, and an ideas board, which is enough to actually run a couple of accounts before you pay anything. You can try it for free and see if it fits your workflow.

Buffer is built specifically for creators and small business owners who need something straightforward and affordable. You can try it for free to see if it works for your workflow.

👀 One honest caveat: No tool publishes natively to every feature of every platform. Instagram first comments and some TikTok formats can still need a manual step. It still beats logging into five apps, but it's not 100% hands-off.

Managing multiple social media accounts for clients

If you're running accounts for clients rather than just your own, the job shifts from posting to keeping things separate and accountable. The fix is the same dashboard, organized differently: keep each client's accounts in their own space, with their own calendar, approvals, and reporting, so nothing crosses wires.

A tool built for agencies and freelancers lets you collaborate and switch between clients, schedule across each one's channels, hand drafts to a teammate or the client for approval, and pull per-client analytics at the end of the month. The two things that save the most time here are approval flows (so you're not chasing sign-off in email) and per-client reporting (so monthly updates take minutes, not an afternoon).

7. Join new social media platforms slowly and with intention

Add new platforms one at a time rather than all at once. Mastering one network before expanding prevents burnout and lets you reuse what already works. It's tempting to be everywhere immediately, but that's the fastest route to feeling underwater.

First, narrow down where your audience actually is, based on your business type. As a general guideline, many D2C brands see strong results on TikTok, Instagram, and Pinterest, while B2B brands often prioritize LinkedIn, X, and Bluesky.

Different audiences discover products in different places, so don't assume. Ask your existing audience how they found you and where they look for new products in your niche.

Your audience might be on several networks, but they aren't in a buying mindset on all of them. If you sell shampoo, someone might scroll LinkedIn all day and never want to hear about it there — but catch them on TikTok, and they'll click through and buy.

So say you learn your audience discovers products like yours on Instagram, TikTok, and Pinterest. Don't launch all three at once. Start with Instagram, spend a few months learning what works and getting comfortable with the calendar, then bring on TikTok and repeat. Going slow pays off three ways:

• You don't overwhelm yourself by running everything on day one
• You carry lessons from one network to the next and skip repeating mistakes
• You build a backlog of content to repurpose onto each new account

There's no rule that says you have to be on every platform. To manage multiple social media accounts without losing your mind, you need to add new platforms slowly and intentionally. No one says you need to jump into managing multiple social media accounts at the same time. There are only benefits to moving in an unhurried manner and only risks in moving too fast.

Manage multiple social media accounts with ease

None of this is effortless. Even teams with a dedicated social person feel the grind of running several accounts. You're creating the content, learning each platform's quirks, and keeping up with what your audience responds to, often while wearing every other hat in the business.

So don't try to do all seven at once. Pick the two that fix your most annoying bottleneck this week (for most people, that's building a few templates and setting up a scheduling tool), get them running, and leave the rest for next month. It gets easier as you build the systems that fit how you actually work.

FAQ about managing multiple social media accounts

What is the best way to manage multiple social media accounts?

Start with a plan, then use the right tools. Choose the networks your audience already uses, build a simple content calendar so you always know what to post and when, and repurpose your best posts across platforms to save time. Then use a social media management tool (Buffer is a good option) to schedule content, reply to comments, and review analytics and insights from one dashboard.

How can I post to all my social media accounts at once?

Yes, you can post to all your accounts at once with a social media management tool. In Buffer, you write the post once, select every channel you want it on, and schedule it. Buffer formats and sends it to each network automatically, so you're not copying and pasting into five apps.

What's the easiest way to manage Facebook, Instagram, and LinkedIn from one dashboard?

Connect all three to a single management tool. With Buffer, you link Facebook, Instagram, and LinkedIn once, then schedule posts, reply to comments, and view analytics for all of them in one place, with no logging in and out.

How do I manage social media accounts for multiple clients?

Keep each client's accounts in their own workspace inside one tool, with separate calendars, approval flows, and reporting. A tool built for agencies lets you switch between clients, schedule across their channels, and pull per-client analytics without anything getting mixed up.

What is the best tool to manage multiple social media accounts?

The best tool is one that lets you schedule posts, respond to comments, and track performance from a single dashboard without adding complexity. Buffer is popular with creators and small businesses because it’s easy to use, affordable, and designed to scale as your needs grow.

Is it OK to post the same content on multiple platforms?

Yes, especially on platforms that take similar formats. Crossposting short-form video between Instagram, TikTok, and YouTube Shorts saves time and extends the reach of your best content.

What is the difference between crossposting and repurposing content?

Crossposting means sharing the same piece of content across multiple platforms with little or no change. Repurposing goes a step further by adapting one piece of content into different formats, like turning a blog post into a carousel or a long-form video into short clips.

Do I need a content calendar to manage multiple accounts?

A content calendar makes it much easier. It keeps track of what to post, where it goes, and why it matters, so you're not deciding on the fly every day.

More social media marketing resources

• Buffer vs. Hootsuite: Which Social Media Management Tool Is Right For You?
• The Best Social Media Scheduling Tools (+ How to Find the Perfect Fit)
• The 11 Best Social Media Management Tools — Tried + Tested
• 9 Tools for Social Media Automation (+ Automation Pro Tips)
• The Best Social Media APIs for Developers + Vibe Coders