The best time to post is your audience's time.
Every 'best time to post' chart you have seen is an average of other people's audiences, in other time zones, in other industries. It is a fine place to start and a terrible place to stop. This guide gives you honest per-platform starting windows, explains why they only get you halfway, and shows you exactly how to find your own best times from your own data. General guidance from how good social teams actually work, not numbers we invented.
Why generic 'best times' are only a starting point.
When a blog post tells you the best time to post on Instagram is "Wednesday at 11am," it is reporting the average of a huge pool of accounts across every industry, audience, and time zone, usually normalized to one country. That average is real, but it describes nobody in particular. Your audience is not the average. A B2B software brand whose followers check LinkedIn between meetings has almost nothing in common with a fitness creator whose audience scrolls at 6am and 9pm, or a local restaurant whose customers are deciding where to eat at 5pm on a Friday.
There is also a quiet circularity in published charts: the "best" time is partly the time everyone was already told to post, so engagement clusters there because that is when the content is. The window can become crowded precisely because it is popular, which sometimes makes a slightly off-peak slot the smarter bet. None of this means the charts are useless. It means they are a hypothesis to test, not an answer to copy. Treat the ranges below as where to start your first two weeks, then let your own numbers overrule them.
Per-platform starting windows.
These are general, widely-reported ranges to begin from, not laws and not BAT data. They assume your audience is in roughly one time zone; if it is global, you will end up posting to whichever region is largest or splitting your schedule. Start here, then replace every one of these with what your own analytics tell you.
Tuesday to Thursday, mid-morning (around 8–10am) and again early afternoon, in your audience's working hours. It is a weekday, business-hours network; weekends and evenings are usually dead. Posts also have a long shelf life here, so exact minute matters less than day-of-week.
Weekday late mornings (11am–1pm) and evenings (7–9pm) are common peaks, when people break or wind down. Reels and stories can run on a looser clock than feed posts because reach is less tied to the moment you publish.
Weekday early afternoons (1–3pm) tend to perform, skewing slightly older and more midday than Instagram. Engagement is steadier across the day than on faster networks, so the window is forgiving.
X (Twitter)
Weekday mornings and around lunch (roughly 9am–12pm) catch the commute-and-coffee scroll, but X is high-velocity and low-shelf-life, so volume across the day matters more than hitting one perfect slot.
TikTok
Often skews later: evenings (7–11pm) and weekends, when people watch for entertainment. The algorithm surfaces content well after posting, so a strong hook matters far more than the exact upload time.
Evenings and weekends, when people plan and browse rather than work. Pins have an unusually long life (weeks to months), so timing is the least urgent decision of any platform here.
Two honest caveats about every range above. First, they are day-and-window guidance, not down-to-the-minute precision; chasing "9:47am beats 10:03am" is noise, not signal. Second, the platform that matters most is not in any chart: your audience's time zone. A single post scheduled for "11am" means six different real moments for a global following. Decide whose 11am you are posting to before you argue about the hour. This is the difference between cadence and timing, covered further in the how often to post guide and the content calendar guide.
Why it depends on your audience, not the average.
The reason no chart can be right for you is that posting time is downstream of who your audience is and how they live. Four variables move your real best time far from any published average, and you already know most of them about your own followers.
- Time zone and geography. A peak hour is meaningless without a place. If most of your audience is in one region, post to their clock; if it is split, you are really running two or three schedules, not one.
- What they do all day. Office workers, shift workers, students, parents, and retirees all have different open windows. A LinkedIn B2B audience peaks in working hours; a consumer brand may peak after dinner. Your audience's routine is the chart.
- The platform's own rhythm. People use each network at different times and in different headspaces. The same follower checks LinkedIn at 9am for work and TikTok at 10pm to relax. One person, two completely different best times.
- Intent and format. A quick text post and a long video are consumed differently. Evergreen formats (Pinterest pins, LinkedIn documents, TikTok) care less about timing because they surface for days; time-sensitive posts (a live thread, a launch) care a lot.
How to find your own best times.
The good news is that finding your real best times is not hard, it is just a little patient. You do not need a data team; you need two or three weeks of your own numbers and a willingness to read them. Here is the method, in the order that actually works.
A four-step method that works.
- Start from the generic window, but vary it on purpose. For two to three weeks, post inside the platform's starting range above, but deliberately spread your posts across three or four different slots (e.g. mid-morning, lunch, early evening). If you only ever post at one time, you will never learn whether another time is better. Variation is the whole experiment.
- Read your platform's own audience-activity data. Most native analytics show when your followers are online (Instagram's 'Most active times', LinkedIn and Facebook audience insights, and similar). This is the single most useful free signal you have, because it is about your followers specifically, not an average. Overlay it on your posting times.
- Measure engagement by the hour you posted, normalized. Do not compare raw likes; compare engagement rate (interactions divided by reach or followers) by posting slot, so a post that simply reached more people does not look like a 'better time'. After two or three weeks you will see one or two slots consistently outperform. Those are your best times, for now.
- Re-test every quarter, and after any big change. Your best time is not permanent. It drifts when your audience grows, when you enter new regions, when a platform changes its algorithm, or when daylight saving shifts everyone's evening. Re-run a light version of this test quarterly so your schedule keeps matching reality.
One subtlety worth internalizing: a single great-performing post does not prove a great time, and one flop does not condemn one. Timing lives in the pattern across many posts, not in any single result, because the content itself swings engagement far more than the hour does. A brilliant post at a mediocre time will beat a weak post at the perfect time every day of the week. Fix the content first; tune the timing second. For which numbers to trust while you do this, the social media KPIs guide and the engagement-rate calculator keep the math consistent across slots.
Mistakes that make timing data lie to you.
Most teams that 'tested' their best times reached a wrong conclusion because of one of these. Avoid them and the experiment above actually tells you something.
- Comparing raw likes instead of engagement rate. A post that reached twice as many people will look like a better time even if it underperformed per viewer. Always normalize by reach or followers.
- Changing time and format at once. If your evening posts are all reels and your morning posts are all text, you cannot tell whether time or format drove the difference. Hold one variable still.
- Drawing conclusions from too few posts. Three posts per slot is not a pattern, it is noise. Give each slot a couple of weeks before you trust it.
- Posting to your own time zone, not your audience's. The most common and most invisible error. Your 9am may be your biggest audience segment's 4am.
Where send-time suggestions save you the spreadsheet.
Everything above you can do by hand: vary your slots, read native analytics, tally engagement rate by hour, re-test each quarter. It is genuinely worth doing once. The friction is that it is recurring work across 8platforms, and the answer keeps drifting. This is the loop BAT automates: it suggests send times derived from your brand's own engagement-by-hour history rather than a generic chart, and falls back to a platform-canonical window only when you do not yet have enough of your own data. It is a suggestion you approve, not an autopilot, and like everything in BAT, nothing publishes until you sign off, with no post-publish recall.
If you would rather see the scheduling side directly, the scheduling tool shows how AI send-times fit into the calendar, and the analytics tool is where the engagement-by-hour history that powers them lives. There is no free tier, but a 14-day trial with 200 credits lets you run your own numbers before deciding.
The one-line takeaway.
Start with the platform window. Test three or four slots for two to three weeks. Compare engagement rate, not likes, and read your own audience-activity data. Keep the one or two slots that consistently win, and re-test each quarter. The generic chart gets you started; your own data is the only thing that gets you right.
Frequently asked questions.
What is the best time to post on social media in general?
There is no single best time, because it depends entirely on your audience and platform. As starting windows: LinkedIn does best Tuesday to Thursday mid-morning in working hours; Instagram around late mornings and evenings; Facebook early afternoons; X mornings and lunch; TikTok and Pinterest evenings and weekends. Treat these as a hypothesis to test for two to three weeks, then let your own engagement data overrule them.
How do I find the best time to post for my own audience?
Post across three or four different time slots for two to three weeks, read your platform's native 'when your followers are online' data, then compare engagement rate (not raw likes) by the slot you posted in. After a couple of weeks one or two slots will consistently outperform. Those are your best times. Re-test each quarter, because they drift as your audience grows or changes.
Does posting time actually matter, or is it the content?
Content matters far more. A strong post at a mediocre time will beat a weak post at the perfect time almost every time. Timing is a small optimization you apply after the content is good, not a substitute for it. Fix the content first; tune the timing second, and only judge timing across many posts, never one.
Should I post in my time zone or my audience's?
Your audience's, always. A post scheduled for '11am' means a different real moment for every region your followers live in. If most of your audience is in one place, post to their clock. If it is split across regions, you are effectively running two or three schedules, and you post to whichever segment is largest or split your slots between them.
How often should I re-check my best times?
Roughly every quarter, and any time something big changes: rapid audience growth, expanding into new regions, a platform algorithm change, or a daylight-saving shift that moves everyone's evening. Your best time is a moving target, not a setting you configure once. A light re-run of the same test keeps your schedule matched to who is actually online.
Can a tool just tell me my best time to post?
Yes, if it uses your own data. BAT suggests send times derived from your brand's own engagement-by-hour history across 8 platforms, and falls back to a generic platform window only until you have enough of your own numbers. It is a suggestion you approve before anything is scheduled, not an autopilot, and nothing publishes until you sign off.
Stop guessing the hour, read your own data.
Run the test by hand, or let BAT suggest send times from your brand's own engagement history across 8 platforms and hold every post for approval before it ships. 14-day free trial · 200 credits · no card required.