Best Time to Post on Social Media: 3 Studies, 3 Different Answers

Search for the best time to post on social media and you get a confident answer in the first result, a different confident answer in the second, and a third in the next one. We put the three best-known studies side by side, from Hootsuite, Sprout Social and Buffer, and read their numbers for the networks a founder is most likely to use. They agree on less than their headlines suggest.

This post is about what those studies can and cannot tell you when your account has hundreds of followers instead of hundreds of thousands, and what to do with them instead of copying a time slot.

Key findings

• For LinkedIn, the three studies name three different windows: 4–6 a.m., late morning to 5 p.m., and 3–4 p.m. on Wednesday and Friday.
• They agree only at the coarse level: weekdays beat weekends for most networks, and the middle of the week is rarely wrong.
• Each study measures its own customers, over its own dates, with its own method. None of them measures your audience.
• Timing matters most on feeds sorted by time: Mastodon, Bluesky's Following feed, and community channels on Discord, Telegram and Slack.
• A small account cannot read a reliable best time from a few weeks of posts. A fixed schedule you keep beats a perfect hour you miss.

How we checked

On September 25, 2026 we read the current version of three public best-time pages and noted each recommendation, each sample size and each note on time zones. We did not run our own dataset. Every number below comes from one of these pages, and each is linked where it appears.

• Hootsuite's best time to post guide: based on "1M+ posts", with times "normalized across 118 countries" and described as time-zone agnostic. The page title still says 2025, although the page was updated in September 2026.
• Sprout Social's best times to post report: nearly 2 billion engagements across roughly 307,000 social profiles, collected between November 27, 2025 and February 27, 2026, with every time given in local time.
• Buffer's best time to post analysis: over 52 million posts, ranked by the time slots with the highest median engagement, published March 25, 2026, with every time given in local time.

We only compared networks that at least two of the studies cover and that founders commonly post to: Facebook, Instagram, LinkedIn and Threads. Buffer is the only one of the three with separate YouTube figures, which we cover on their own. We left out X and TikTok. Pinterest is covered by two of the studies but left out here for space.

Finding 1: The best time to post on each network depends on which study you open

Here is each study's headline recommendation, as written on its page. Where a study gives both a single best slot and a wider window, we show both.

Look at LinkedIn. Hootsuite says the early hours before work. Sprout says late morning through the afternoon. Buffer says late afternoon, and its recommended window runs into the weekend. A founder who follows all three would post at 5 a.m., noon and 4 p.m., which is not a strategy.

Instagram tells the same story in a different shape: Monday evening, Tuesday and Wednesday afternoons, or Thursday morning. Facebook is closer, with two of the three landing at 9 a.m., but Sprout's window starts at noon and runs to 8 p.m.

Threads is the closest to consensus: two studies, both pointing at a weekday morning. Even there, they name different days.

Finding 2: Where the studies agree, the advice is broad

Zoom out from the single slot and some agreement appears. Sprout calls Tuesdays and Wednesdays the best days across networks and Sunday the worst. Buffer writes that weekend posts "tend to get less engagement (on every platform but TikTok)", and that Wednesday leads for Facebook, Instagram, LinkedIn and Threads. Hootsuite's overall best slot is a Wednesday morning.

So the shared finding is roughly this: weekdays, and especially the middle of the week, are a safe default on most networks. That is useful, but it is about as precise as the studies get when you put them together.

Even the broad rule has an exception in the data. For LinkedIn, Sprout lists weekends as the worst days, while Buffer writes that LinkedIn posts shared on Saturday and Sunday "get noticeably more engagement than the early weekdays". Two large samples, opposite conclusions on the same question.

Finding 3: Each study measures a different crowd, in a different way

The disagreement is not a sign that anyone got the math wrong. The three studies are measuring different things.

• Different accounts. Each dataset comes from the tool's own customers. Sprout says its data covers "over 30,000 Sprout Social customers". These are mostly brands and businesses, and their audiences are theirs, not yours.
• Different measures. Buffer ranks slots by median engagement per post. Sprout counts when engagements happen across nearly 2 billion of them. Those questions have different answers: "when do posts do best?" is not the same as "when are people most active?"
• Different periods. Sprout's window is three winter months, November 2025 to February 2026. Buffer's figures were published in March 2026. Hootsuite's page has been updated since, but still carries a 2025 title.
• Different time handling. Sprout and Buffer both convert to local time. Hootsuite describes its times as normalized across 118 countries. All three are sensible, and all three flatten your audience's actual location out of the picture.

That last point matters more for a founder than for a brand. If you live in Berlin and most of your customers are in the US, "9 a.m. local time" is a question with two answers. The studies answer it for the poster. Your results depend on the reader.

Finding 4: Even one study can give two answers

Buffer's YouTube section is a good example of how fragile a single "best time" is. In the text, Buffer says the best time for long-form videos is "Sunday at 10 a.m.", "by a wide margin", with Sunday 9 a.m. and Friday 12 p.m. next. In the summary table at the top of the same page, the long-form YouTube window reads 6–10 p.m., Sunday to Tuesday.

Both can be true at once: a single slot can peak while a wider evening band performs well on average. But it shows how much depends on how the data is cut. If the same team, with the same dataset, can summarize one network two ways, a single hour copied from any of these pages carries less certainty than its formatting suggests.

For YouTube Shorts, Buffer is more consistent: Friday at 4 p.m. is its top slot, with Friday, Saturday and Thursday as the strongest days.

Finding 5: Timing matters most where feeds are sorted by time

The studies above cover networks whose main feeds are ranked by the network itself. On Instagram, Facebook, LinkedIn and Threads, a post can reach people hours after you publish it, because the app decides the order. Timing still plays a part there, but it is one input among many.

Several networks founders use work differently:

• Mastodon. Its own site says you "receive their posts in chronological order" and promises "no algorithms or ads" (joinmastodon.org). A post published while your followers sleep sits below everything published after it.
• Bluesky. Bluesky describes "your chronological Following feed and the default Discover feed" (Bluesky's welcome post). Followers who read Following see your post in time order. Discover mixes in other signals.
• Discord, Telegram and Slack channels. Messages in a channel appear in the order they were sent. An announcement posted at 3 a.m. for your community's time zone is buried by morning if the channel is active.

None of the three studies covers Mastodon, Bluesky or community channels. That is exactly where a founder has the most control: you know roughly where your followers or members live, and on a feed sorted by time, being there when they open the app is most of the work.

Finding 6: A small account cannot read its own best time from a few posts

All three studies close with the same advice: use their numbers as a starting point, then test with your own analytics. That is right, but it hides a practical problem for small accounts.

The studies work because they average millions of posts. Your account might publish three posts a week. If a typical post gets a handful of likes and a couple of comments, one reply from a friend or one repost from a larger account is enough to make a random Tuesday look like your best slot. Two or three weeks of posts cannot separate the effect of the hour from the effect of the topic, the format, or luck.

Posting consistently is also a finding in its own right. Buffer's page puts it plainly: if there were a secret to content success, "it would be consistency", not timing. For a founder, that is the useful half of the research. A schedule you keep every week does more than a perfect hour you hit twice and then miss for a month.

What this means for you

You do not need a better study. You need a starting point per network, a schedule you can actually keep, and a slow, honest test. Here is a plan that works with a small audience.

1. Pick one starting slot per network, and write it down

Use the broad agreement: a weekday, ideally Tuesday to Thursday. Then choose the hour by where your audience is, not where you are. For LinkedIn, pick one of the three windows and stick with it; any of them is defensible. For Threads, a weekday morning is where both studies point. For Mastodon, Bluesky and community channels, choose a time when your followers or members are awake and starting their day.

If you want a single place to start, this is what we would test first, based only on where the studies overlap:

These are starting points, not answers. The point of the next steps is to replace them with what your own audience does.

2. Hold that slot for at least four weeks

Changing the hour every week makes it impossible to learn anything. Keep the time fixed long enough that one good or bad post does not decide the result. Four weeks at three posts a week is still a small sample, so treat what you see as a hint, not proof.

3. Change one thing at a time

When you test a new slot, keep the network, the format and the kind of post the same. Compare like with like: a short product update at 9 a.m. against a short product update at 4 p.m., not a launch post against a reading note. Record the result per post in a simple table next to the time it went out.

4. Look at the right number for each network

On networks sorted by time, replies and reposts in the first few hours tell you whether your followers were there. On ranked networks, look at the post over a few days, since the app keeps showing it to people after you publish. Not every network reports the same numbers to third-party tools, so check what you can actually see before designing a test around it.

5. Take the time out of your hands

The best slot is useless if it lands in the middle of a customer call. Write posts when you have time, then schedule them for the slot you chose. If you post to several networks, give each one the slot that suits its audience rather than posting everywhere at the same minute. Clienzo schedules one post to several networks in as many time slots as you choose, and shows post analytics on every plan for the networks that report them, so your four-week test has numbers next to each post; see what Clienzo tracks per post.

6. Revisit twice a year, not every week

Audiences shift slowly: new followers in a different time zone, a launch that brings in a new crowd, a season. Checking your posting times every six months is enough. In between, the most useful thing you can do is keep the schedule.

• Copying one study's single best hour as if it applied to your audience
• Switching the posting time every week and reading meaning into the noise
• Posting to Mastodon, Bluesky or a Discord channel at a time that suits you but not your readers
• Posting the same update everywhere at the same minute because it was convenient to publish once
• Skipping a week because you missed the "right" time

Related reading

• Nine repeatable LinkedIn formats that turn your week into posts
• LinkedIn schedulers compared on free plans and price at 5 accounts
• How Clienzo schedules one post to every network

Originally published on the Clienzo blog.