Best Time to Post on Social Media in 2026
Every scheduling tool publishes a "best time to post" study, and they all disagree on the details — because the honest answer is when your audience is online. But the studies do converge on broad windows, and if you're starting a new account (or a new client) with zero data, those windows are the right default.
Here's the 2026 consensus per platform, then how to graduate from averages to your own numbers.
The short version
| Platform | Best window (audience's local time) | Skip |
|---|---|---|
| Tue–Thu, 8–11am | Weekends | |
| Mon–Thu, 10am–1pm | Late night | |
| X (Twitter) | Weekdays, 8–10am + noon | Saturday |
| Mon–Thu, 8–11am | After 9pm | |
| TikTok | Tue–Thu, 11am + 5–7pm | Early morning |
| YouTube | Thu–Fri afternoon, weekends | Mon–Tue morning |
| Threads | Weekdays, 9am–12pm | Late evening |
Why the windows look like this
LinkedIn is a work-hours network. People scroll before meetings start and around lunch; engagement falls off a cliff Friday afternoon and stays dead through the weekend. B2B posts live and die by this.
Instagram rewards mid-morning to early afternoon on weekdays — commute-scrolling plus lunch breaks. Reels get a second wind in the evening, but feed posts and carousels do their best work before 2pm.
X is a morning-coffee network: news consumption peaks early, and threads posted at 8–9am get the whole workday to compound. A second, smaller spike hits at lunch.
Facebook's remaining engaged demographic checks in the morning. If your client is a local business, mornings Monday to Thursday out-perform everything else.
TikTok is the outlier: its audience is on after school and after work, so late afternoon and evening slots win, with a lunchtime spike. It's also the platform where timing matters least — the For You feed surfaces content for days.
YouTube viewers watch evenings and weekends, so publishing Thursday or Friday afternoon lets the algorithm index your video before peak watch time.
Threads currently mirrors Instagram's daytime pattern, skewing slightly earlier.
Averages are a starting point, not a strategy
Three caveats before you build a calendar on this:
- Time zones beat everything. "10am" means your audience's 10am. A French agency running a US client should be scheduling into the afternoon, French time.
- Niche beats platform. Restaurant followers scroll at 6pm deciding where to eat; B2B founders scroll at 8am. Same platform, opposite windows.
- Consistency beats precision. Posting reliably at a decent time out-performs sporadically posting at the "perfect" one.
Finding your best time
After two to three weeks of posting, your own analytics out-predict any study:
- Post across several of the windows above for a couple of weeks.
- Compare engagement rate per slot — not raw likes, which follower spikes distort. (Quick math: our free engagement rate calculator.)
- Double down on the two slots that win, and re-test quarterly — audience habits drift.
The tedious part is executing this across seven networks and several clients without a spreadsheet meltdown. That's the part worth automating: Keryo writes a native version of your post for each platform and schedules each one into its own peak window in one pass — and its per-client analytics show you when each audience actually engages, so the averages above become obsolete within a month.
Try it free for 7 days — no card needed. And if you're currently doing this manually in Buffer, here's how the two compare.
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