Best Time to Post on Social Media in 2026: 61,008 Posts Scored Against Their Own Normal

Most "best time to post" charts measure the wrong thing. They compare every account against every other account, so an hour looks strong whenever the big accounts happen to post then. Our dataset is 102,713 posts published by 434 PostFast workspaces in the 90 days to September 4, 2026 (18,775 of them imported from native publishing). We scored the 61,008 of them with clean 48-hour metrics on Instagram, Facebook, TikTok and YouTube the other way: every post against its own account's median, so 1.00 means that account's normal result. On Instagram, the naive method shows a 5.5x swing across the hours of the day; the controlled method shows 1.43x, and the two rankings of "best hours" are unrelated. What survives that control is small, specific, and different on every platform. Here it is for the four platforms with enough clean data: Instagram, Facebook, TikTok and YouTube.

The short version

Day effects: Instagram Sunday 1.04x and Thursday 0.98x; Facebook Wednesday 0.96x; TikTok Saturday 1.04x and Tuesday 0.98x; YouTube Saturday 1.13x and Wednesday 0.89x.

Read every figure as "compared with that account's own normal". Anything between 0.95x and 1.05x is flat.

Method

• Window: June 6 to September 4, 2026, UTC. Published posts only, bucketed by publish time; 102,713 posts, 434 workspaces, 11 platforms.
• Age control: each post's metrics come from the first snapshot taken at least 48 hours after it published, so a three-day-old post is never compared with an eighty-day-old one.
• Composition control: each post is scored against its own workspace's median, in the metric each platform exposes (impressions on Instagram and Facebook, views on TikTok and YouTube). The index is conservative by construction: an account that only ever posts at one hour contributes exactly 1.00 to that hour.
• Exclusions: posts still at zero impressions and zero interactions at the 48-hour snapshot (unmeasured rather than genuinely zero), workspaces with fewer than five posts on a platform in the window, and imported posts that were published natively rather than through PostFast.
• Platforms left out on purpose: Threads, Pinterest and Telegram, where a single workspace is 38 to 48 percent of the sample; X, Bluesky and Google Business Profile, where we have posting volume but no measured post metrics; LinkedIn, where only company Pages report metrics (26 percent of posts measured).
• Reliability control: every curve was split-half tested, the posts randomly halved 25 times, an hour curve built from each half and the two rankings correlated. We rate 0.40 and above stable, 0.20 to 0.39 weak, below 0.20 noise, and anything from fewer than 10 accounts insufficient. A curve that does not reproduce gets no hour claim, whatever the index says.
• Reading rule: treat 0.95x to 1.05x as flat, ignore day-and-hour cells under 100 posts, and prefer hours with at least 300 posts.

Instagram: one hour beats normal, everything else is flat

23,552 posts, 289 workspaces, scored on impressions. 3 PM in the audience's time zone is the one hour that clearly beats an account's normal, at 1.20x on 1,574 posts. 1 PM (1.05x) and 2 PM (1.02x) sit just above normal, 7 PM (0.96x) and 9 AM (0.97x) just below, and every other daytime hour is flat. In UTC the strongest hour is 1 PM at 1.33x (1,220 posts), which in summer time is 9 AM in New York, 2 PM in London and 3 PM in Berlin; the weakest is 10 PM UTC at 0.93x.

Days barely move: Sunday 1.04x, Saturday 1.03x, Thursday 0.98x, every other day at 1.00x. The strongest day-and-hour cells with at least 100 posts are Saturday 3 PM (1.71x), Sunday 3 PM (1.47x) and Wednesday 3 PM (1.25x); the weakest is Monday 10 PM (0.52x).

The curve reproduces (0.46 local, 0.52 UTC), and in UTC so does each format's curve, and they disagree with each other: Reels peak at 1 PM local (1.19x on 603 posts, stable in both bases), feed posts at 1 PM UTC (1.48x on 518 posts, stable in UTC; the local feed curve is weaker at 0.38, so 3 PM local at 1.24x is a softer signal); carousels show no well-sampled hour above 1.07x and Stories none above 1.00x. On the same account, a Reel earns a median 2.38x the impressions of a feed post (42 accounts, middle half between 1.26x and 6.71x).

Facebook: mid-afternoon, and skip Wednesday

16,166 posts, 215 workspaces, scored on impressions (Facebook's post insights expose reactions but no comment or share counts). 3 PM (1.18x, 1,272 posts) and 5 PM (1.17x, 928 posts) in the audience's time zone are the two hours that beat normal, with 4 PM at 1.04x. The weakest daytime hour is 9 AM at 0.91x. In UTC, 1 PM leads at 1.23x and 10 PM trails at 0.81x. Scored the naive way, Facebook looks like a 43x hour-of-day effect; controlled, it is 2.2x, and even that comes from two thin pre-dawn rows. Among hours with at least 300 posts the spread is 0.91x to 1.18x.

Wednesday is the weakest day at 0.96x; Sunday (1.02x) and Monday (1.01x) edge ahead. The strongest cells: Sunday 3 PM (1.51x), Monday 5 PM (1.42x), Friday 4 PM (1.35x); the weakest: Thursday 4 PM (0.74x).

The overall curve reproduces (0.44 local, 0.74 UTC), but by format it splits: video posts reproduce and peak at 8 PM local (1.26x on 222 posts) and 5 PM (1.17x on 389 posts); photo posts, the largest format at 7,246 posts, do not reproduce (0.10 local), so we make no hour claim for photos. On the same Page a video earns a median 4.31x the impressions of a photo (41 Pages).

TikTok: the clock is not the lever

15,115 posts, 197 workspaces, scored on views. In local time, no hour with at least 300 posts reaches 1.05x, and no day does either; the one exception is 1 AM UTC at 1.06x on 315 posts. The best local hours are 9 PM (1.04x) and 8 PM (1.02x); the weakest is 7 AM (0.96x). Saturday is 1.04x, Tuesday 0.98x, every other day within 2 percent of normal. The strongest cell is Saturday 6 PM at 1.15x on 175 posts. And the curve does not reproduce: 0.25 in local time, 0.18 in UTC, and neither video (0.29 UTC, 0.21 local) nor carousels (0.23, 0.12) reproduce on their own. Carousels perform the same as videos on the same account (a median 0.99x).

This is what a recommendation-driven feed looks like from the outside: TikTok tests a video with a small audience and decides where it goes on watch time, replays and shares, not on who was online when it went out. The honest advice is to spend the timing effort on the hook and on consistency.

YouTube: timing genuinely matters here

6,175 posts, 97 workspaces, scored on views, most of them Shorts. 5 PM UTC is the strongest hour at 1.29x (303 posts), which in summer time is 1 PM in New York, 6 PM in London and 7 PM in Berlin, with 6 PM UTC at 1.06x. 4 PM UTC dips to 0.86x (419 posts) between two strong hours, and late evening collapses: the 10 PM and 11 PM UTC cells fall to 0.70x and 0.57x on 200 and 221 posts. In the audience's own time zone, 1 PM (1.25x), 9 PM (1.19x), 10 AM (1.18x) and 8 PM (1.12x) beat normal, while 6 PM (0.80x, the weakest measured hour) and 3 PM (0.89x) fall below.

The weekend gap is the largest day effect of the four platforms: Saturday 1.13x and Sunday 1.12x against Wednesday 0.89x, a spread of about 25 percent. The curve reproduces (0.59 local, 0.55 UTC). Shorts are 5,928 of the 6,175 measured posts and reproduce on their own (0.52 local, peak 1 PM local at 1.28x); long-form videos are too few to read (236 posts from 4 channels), so treat these as Shorts findings.

LinkedIn: first-party data that says no reliable hour

We also hold 1,836 LinkedIn company-page posts from 60 Pages (LinkedIn's API exposes no metrics for personal profiles). Scored the same way, the hour curve does not reproduce: 0.05 in local time (noise) and 0.27 in UTC (weak). Sunday (1.30x) and Saturday (1.20x) run ahead of Thursday (0.88x), on 173 weekend posts each, so read it as a direction. For company Pages, our data supports consistency and the first hour of comments over any clock.

What to do with this

• Instagram: anchor one daily slot at 3 PM in your audience's time zone; leave the rest of the calendar to consistency.
• Facebook: post between 3 PM and 5 PM local, avoid 9 AM, and do not save the big post for Wednesday.
• TikTok: stop optimising the clock; test hooks and post daily.
• YouTube: publish around 1 PM or at 8 to 9 PM in your audience's time zone, favour Saturday and Sunday, and keep Wednesday for content that does not need reach.
• Everywhere: your own analytics beat this grid once you have a few hundred posts of your own. Until then, this is a better starting grid than a chart built on other people's audiences.

The per-platform guides carry the day-by-day detail: Instagram, Facebook, TikTok and YouTube.

Frequently Asked Questions

What is the best time to post on social media in 2026?

It depends on the platform more than on the day. In our data, 3 PM in the audience's time zone is the strongest hour on Instagram, 3 PM to 5 PM on Facebook, around 1 PM or 8 to 9 PM on YouTube, and no hour matters much on TikTok.

Why do these numbers differ from other studies?

Most studies compare all accounts against each other, so hours favoured by large accounts look strong. We score each post against its own account's median, which removes that effect and shrinks the apparent swings, on Instagram from 5.5x to 1.43x.

How large is the dataset?

102,713 posts from 434 PostFast workspaces between June 6 and September 4, 2026, including 18,775 imported from native publishing. The four platform sections score the 61,008 posts with clean metrics: 23,552 on Instagram, 16,166 on Facebook, 15,115 on TikTok and 6,175 on YouTube.

Does the day of the week matter?

Only on YouTube, where Saturday and Sunday run about 25 percent above Wednesday. On Instagram, Facebook and TikTok the days sit within a few percent of normal.

Can I get the data?

The per-platform figures are in the four linked guides. The full method, exclusions and platform coverage are described above.

Post at the hour that matters, then move on

One slot on Instagram, two on Facebook, an evening on YouTube, and nothing to chase on TikTok. Set those in your audience's time zone, schedule the week in PostFast, and put the saved attention into the content.