There is no single best time to post that works for every account — and Buffer says so itself, after analysing tens of millions of posts. Ask four research teams when to publish and you get four different answers, because each one measures different accounts with different audiences and even different metrics. That disagreement is not noise; it is the honest shape of the data.
This heatmap puts the major 2026 studies — Sprout Social, Buffer, Later, and Hootsuite — into one readable grid for each of 11 platforms, with every claim traced back to the study it came from. Then it does the one thing no competitor does honestly: because those peaks are reported in your audience’s local time, it can convert each one into your own publishing clock, so you know exactly when to hit publish.
These windows are reported in your audience’s local time. Heat is shown as Peak / Good / Fair / Quiet — never an invented percentage.
| Day | 5–8 am | 8–11 am | 11 am–2 pm | 2–5 pm | 5–8 pm | 8–11 pm |
|---|---|---|---|---|---|---|
| Monday | ||||||
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Best-time studies report peaks in your audience’s local time, not yours. This tool converts those peaks into your own clock so you know exactly when to hit publish. Studies disagree because they measure different accounts and different metrics — treat this as a starting grid, then confirm with your own audience data.
Instagram timings as of June 2026. Blended from the studies above; SocialKit is not affiliated with any of them.
Guide
Each day-by-slot cell is an editorial blend of the most-cited published studies for that platform: Sprout Social’s analysis of roughly two billion engagements, Buffer’s tens of millions of posts, Later’s engagement-rate study, and Hootsuite’s per-day windows. The heat is ordinal — Peak, Good, Fair, Quiet — never a fabricated percentage, because the underlying studies report directions and windows, not a precise score per hour.
What the grid leaves out is just as deliberate. There is no per-industry filter, because no public study breaks the numbers down by your exact vertical in a way we could reproduce without inventing them. A dropdown that promised "best time for fitness brands" would be guessing, so we do not ship one. Every number you see here exists in a study you can click through to.
The single most important thing to understand: these peaks are reported in your audience’s local time. "Wednesday around midday" means midday where your followers are, not where you are. Most tools quietly convert their grid to the visitor’s timezone, which silently corrupts the meaning when the data is audience-local.
So the heatmap gives you two clearly-labelled modes. "Audience clock" is the default and the source-of-truth view — the grid exactly as the studies authored it. "My publish clock" shifts every slot by the difference between your timezone and your audience’s, with day-of-week carry, so a late-evening peak that lands on the previous calendar day in your zone moves correctly. Set where most of your audience lives, set your own zone, and the grid answers the only question that matters at publish time: what time on my clock lands at my audience’s peak.
Studies that count total engagement favour the hours when the most people are online, which pushes their answer toward midday and evening. Studies that normalise for reach — measuring engagement rate rather than raw volume — favour low-competition hours, which is why one major analysis lands on early mornings. Both effects are real; which one matters more depends on whether your bottleneck is audience attention or feed competition.
Click any cell to see the day, the slot, the heat level in words, and the attributed note for that platform. Read the top-windows callout for the quick answer, then treat the whole grid as a starting point. Your followers are not the global average, so the reliable method is to pick two candidate windows, alternate between them for a few weeks, and keep the one your own analytics reward. The grid gets you to a sensible first guess far faster than guessing cold.
There isn’t one — and treating any single time as universal is the mistake this tool is built to avoid. Published studies disagree because they measure different accounts and different metrics: some count total engagement and favour midday and evening, others measure engagement rate and favour quiet early mornings. The heatmap shows each platform’s blended windows with the source for every claim, and the smartest use is to take a window from the grid, test it against your own analytics, and keep what wins.
Because every study cited here reports peaks in the audience’s local time — "Wednesday midday" means midday where your followers are. The default "Audience clock" mode shows that unaltered, which is the honest source of truth. Switch to "My publish clock" and the tool converts each peak into your own timezone (with day-of-week carry) so you know exactly when to schedule. Converting silently to your timezone, the way most tools do, would corrupt the meaning of audience-local data.
It shifts each three-hour slot by the difference between your timezone’s UTC offset and your audience’s, computed for the current week so daylight-saving changes are handled correctly. The shift carries across day boundaries — a peak that lands on the previous calendar day in your zone moves to the right day — and snaps to the nearest slot. If your timezone matches your audience’s, the two modes are identical and the tool says so.
Every cell, top-window bullet, and figure traces to a named, dated study — Sprout Social, Buffer, Later, or Hootsuite — listed in full under the grid with its sample size and method, plus an "as of" date. Heat is shown as ordinal levels (Peak, Good, Fair, Quiet), never as an invented percentage or score. Nothing on this tool is fabricated, and there is no star rating, because we have no ratings to report.
No, and that is a deliberate choice. No public study breaks these timings down by your specific industry in a way we could reproduce without guessing, so adding an industry dropdown would mean inventing numbers. Instead, use the blended grid as a starting point and then confirm against your own audience — your real best time is whatever your own analytics show, not an average across hundreds of thousands of unrelated accounts.
Yes, it is completely free, and there is no sign-up, email gate, or paywall. Switch platforms, set your timezones, copy the times, or embed the whole heatmap on your own site — all without an account. When you want a scheduler to do the audience-to-publisher time math for you automatically across all 11 platforms, SocialKit offers a 7-day trial.
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<iframe src="https://socialk.it/embed/best-time-to-post-heatmap" width="100%" height="560" style="border:1px solid #e5e7eb;border-radius:12px;max-width:680px" loading="lazy" title="Best time to post heatmap by SocialKit"></iframe>SocialKit shows each network’s character limit while you compose one post for all 11 platforms — over-limit drafts get flagged before they fail at publish time.
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