The best time to post is sitting in your own analytics

Somebody sends you a chart. Tuesday at 9am for Instagram, Wednesday at noon for LinkedIn, 7pm for TikTok. It looks authoritative, so you schedule around it, and nothing much changes.

Here is why, and what to do instead.

Where those charts come from

The big timing studies are published by Buffer, Hootsuite, Sprout Social and Later. All four sell social media scheduling software, and all four built their study from their own customers' posting data.

That is not a scandal, and it is genuinely the largest dataset available. But it means the chart describes when other companies' audiences were active — a sample skewed toward businesses that already pay for scheduling tools, aggregated across every industry and time zone at once.

The studies also disagree with each other, which is the clearest sign that the number is not very portable. One finding does recur almost everywhere: midweek, roughly Tuesday to Thursday, beats the weekend. That is about as much as a general chart can honestly give you.

Why your window is different

A restaurant's audience is deciding where to eat at 4pm. A contractor's customer is looking at a leaking water heater at 7am before work. A clinic's patients are booking on a Sunday night when they finally deal with the admin they avoided all week.

None of those are the same moment, and no cross-industry average contains any of them.

How to find yours in ten minutes

Open the native analytics on the platform — not a third-party dashboard. Every one of them shows when your followers are actually active, broken down by day and hour.

Then look at your own last thirty posts and sort them by reach. Note the time of day for the top five and the bottom five. If a pattern shows up, you have found something real about your audience. If nothing shows up, timing is not your problem and you should stop thinking about it.

Test one change at a time for a few weeks. Not three changes, because then you learn nothing about any of them.

What genuinely differs between platforms

This part matters more than the clock, because the platforms distribute content in fundamentally different ways.

Instagram. Adam Mosseri has pointed creators at three measures: average watch time, likes per reach, and sends per reach. He has described sends per reach as correlating with overall reach more than anything else in his experience, and sends carry more weight with people who do not already follow you. The practical read: content people forward to one friend outperforms content people merely like.

TikTok. Distribution is decided per video rather than per follower, which is why a new account can outperform an established one and why your follower count is a weak predictor of reach. Posting time matters least here of any platform.

YouTube. Search and recommendation, with a long tail. A video can do nothing for two months and then find an audience. Publish time is close to irrelevant; the title, thumbnail and topic are close to everything.

Facebook. Still where local community activity actually happens — groups, events, neighbourhood pages. Anything tied to a date is genuinely time-sensitive here in a way a general brand post is not.

LinkedIn. The one platform where the old advice mostly holds, because the audience is largely using it during working hours in their own time zone.

Google Business Profile. Not a feed at all. It is a search surface, and posting time is irrelevant — what matters is that the profile is complete, current and accumulating reviews.

One honest caveat

A lot of confident claims circulate about these systems. You will see it asserted that sends are weighted three to five times more heavily than likes, or that a specific platform confirmed a new ranking hierarchy this year. Those specific numbers are not verifiable against anything the platforms have actually published, and they get repeated between marketing blogs until they sound like fact.

The directional guidance above comes from what platform leads have said publicly. Treat the rest — including any chart with a precise best hour on it — as somebody's content marketing until your own numbers agree with it.