The Best Times to Post Video on Every Platform (2026)

The best times to post video in 2026, by platform, from Sprout and Buffer data, plus why YouTube long-form and Shorts peak at opposite times and how to find your own.

Flat illustration of an alarm clock with a send arrow

The single best time to post is whatever your own analytics say, so if you have a few weeks of history, open it and stop reading. The tables below matter for one thing: getting a brand-new channel off zero before it has data of its own. I schedule client video across five platforms every week, and I will tell any client the same thing I put here, that timing is a small multiplier layered on top of the content. A weak video posted at the perfect minute still sinks, and a strong one posted an hour off-peak does fine. Use the windows to start, then let your numbers take the wheel.

The aggregate data is still worth having for that cold start, and the 2026 numbers line up cleanly.

The best windows by platform

These are Sprout Social’s 2026 findings (nearly 2 billion engagements across roughly 307,000 profiles), plus Buffer’s video-specific data for YouTube. Every time here is in your audience’s local time, which is the part people get wrong. I run Moonb’s scheduling from a European clock for mostly US-facing clients, so I set posts against US hours, not mine, and you should do the same against wherever your buyers actually are.

PlatformBest daysBest window (local time)
FacebookTue, Wed12pm to 8pm
InstagramTue, Wed1pm to 9pm
TikTokTue, Wed, Thu1pm to 8pm
LinkedInTue, Wed, Thu11am to 5pm
YouTube (long-form)Sun, Tue, Mon8am to 11am (best: Sun 10am)
YouTube ShortsFri, Sat, Thu6pm to 9pm (best: Fri 4pm)

The pattern that repeats across nearly every platform: Tuesday and Wednesday, late morning through late afternoon, carry the most engagement, and Sunday is usually the deadest day. YouTube long-form is the loud exception, since it leans on weekend mornings while everything else is asleep.

The finding that changes how you schedule YouTube

The one thing I lifted straight out of Buffer’s 2-million-video study and put into practice is that YouTube long-form and Shorts peak at almost opposite times. Long-form does best on weekend and early-week mornings; Shorts land in late-week evenings. When a client runs both, I treat them as two separate channels on two separate clocks, because scheduling them together drags one of them into a window it was never going to work in. That single split has moved more of my clients’ Shorts views than any caption tweak I have ever made.

Why timing works at all

Timing helps because of engagement velocity. Short-form platforms test a new upload on a small slice of your audience within minutes, and how that first group reacts decides how far the video gets pushed after. Post just before your audience is most active and that opening test overlaps with your most engaged followers, which gives the video its best shot at the early traction that snowballs into reach. That is the real mechanism. The exact size of those test batches and the precise cutoffs are things the platforms do not publish, so I treat the “post before your peak” instinct as sound and the specific numbers as educated guesses.

Flat illustration of a phone showing a rising engagement graph, with early views feeding wider reach

Why the tools disagree (and what to do about it)

You will find these numbers clash with other guides, and that is fine. Sprout lands on afternoons while Hootsuite’s study often lands on early mornings, and both are correct for the accounts they measured; they are different datasets normalized in different ways. When two sources disagree, I use the overlap as a starting range rather than treating either one as gospel, and I run a simple four-step loop:

  1. Pick a starting window from the table for each platform.
  2. Post consistently in it for at least four weeks. Single-post variance is high, so one great or terrible post proves nothing on its own.
  3. Read your native analytics. Every platform shows you when your specific followers are online and when your posts actually earned engagement, and that beats any industry average.
  4. Shift and re-test. Nudge your window toward where your own data points, then hold it long enough to be sure it held.

The tables get you off zero. Four weeks of your own analytics get you the answer.

Quick recap

  • Default to Tuesday and Wednesday, late morning to late afternoon, in your audience’s local time.
  • YouTube long-form: weekend and early-week mornings. Shorts: late-week evenings. Never schedule them the same way.
  • Sunday is the weakest day for most platforms, with YouTube long-form the exception.
  • Aggregate data gets you started; four weeks of your own analytics is the real answer.

The harder problem I watch teams hit has nothing to do with the clock. They simply do not have enough good video to fill any window at all, week after week, so cadence never becomes a lever worth pulling in the first place. That steady output is the part my team owns for clients at Moonb, so if it is what you are short on, see how Moonb works.

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Frequently asked questions

Open your native analytics on each platform. Instagram and TikTok both show when your followers are most active by day and hour, and YouTube Studio shows when your viewers are on the site. Post in that window for four weeks, then compare which slots actually earned watch time and engagement, not just impressions. Your own top two hours beat any published average, because they reflect your real audience and time zone rather than a global blend.

Short-form is far more time-sensitive. TikTok, Reels and Shorts test an upload on a small group within minutes, so landing that test on your active audience changes how far the video travels. Long-form YouTube leans on search and suggested feeds that surface a video for weeks, so a strong title, thumbnail and topic matter more than the exact hour you hit publish. Time short-form tightly; give long-form a sensible morning slot and move on.

Timing only pays off once you post often enough to gather data and stay in the feed, which in practice means at least two to three videos a week per platform. Below that, single-post luck swamps any timing signal and you never learn your real windows. Consistent volume in a decent slot outperforms a perfectly timed post once a month, so fix your cadence first, then optimize the clock.

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