Public profiles only. Nothing is posted, nothing is connected, and no TikTok login is asked for at any point.
One read of the account's public video list gives each recent post a publish time in UTC and its play, like, comment and share counts. Each post is dropped into one of the 168 cells of a seven-day by twenty-four-hour grid, and every cell is scored on the average of the posts inside it.
The ranking runs on plays wherever plays were reported, because reach is the thing a posting time actually moves. Where the provider returned no play count on any post, the ranking falls back to likes plus comments plus shares, and the result says so on its face rather than presenting an engagement ranking as a views ranking.
A cell holding one video is an anecdote. When at least three cells hold 2 or more posts, only those cells are ranked. When they do not, the tool ranks what it has and labels the answer low confidence, which is a different statement from a confident one and is shown as such.
Promoted posts are removed before anything is counted. A promoted video's play count was bought, and leaving it in would recommend the hour somebody paid for rather than the hour the audience was awake.
Posting cadence is measured from the gaps between posts: posts per day, the average gap in hours, and how much those gaps vary. A steady account and an erratic one can share a best hour and still need completely different advice, and the gap variance is what separates them.
The account’s follower count, category and avatar, where shown, come from PlayerSells’ own TikTok catalog and cost nothing to read. They label the result and never enter the arithmetic. Where an account is not in that catalog those fields are simply absent rather than filled in.
It reads the most recent page of posts, not your whole history. For an account posting daily that is roughly the last month; for one posting weekly it reaches back much further, and older posts were competing for a different audience than today’s. The date range the analysis actually covered is printed with the result, and it is the range the answer applies to.
It measures when you posted and how those posts did. It cannot separate the hour from everything else that differed between them: a Tuesday evening slot may look strong because Tuesday evening is when you happen to post your best-prepared videos. The heatmap is evidence about your account, not a controlled experiment, and the honest way to use it is to test the top slot against your current one for a fortnight.
The timezone line is a guess, and it is labelled as one. It reads the five quietest hours of your posting week as the middle of your night. When your posting is spread too evenly for that window to stand out, the tool returns no timezone at all rather than a number that would look like a reading.
The score is about your schedule, not your content: cadence, how consistent the gaps between posts are, how many distinct hours and days you use, and how much data there was to judge on. It is the same table the calculator grades against.
| Score | Grade |
|---|---|
| 85 and above | optimal |
| 70 and above | excellent |
| 55 and above | good |
| 40 and above | average |
| 25 and above | below average |
| 0 and above | poor |
There is no single answer, and every article that gives you one is quoting somebody else's audience. Your viewers live in particular places and open the app at particular hours, and the only evidence about them that exists is your own posts. This tool reads those posts, buckets them by day of week and hour, and ranks the buckets on how the videos in each actually did. The answer it gives is about your account and nobody else's.
One read of your public profile's recent videos through our data provider, which returns each video's publish time and its play, like, comment and share counts. Nothing is estimated and nothing is filled in. Where a counter is missing it stays missing, and the page says which counter the ranking ran on.
TikTok publishes post times in UTC and that is the frame the analysis stays in, so the numbers you see are the numbers we read. The page also shows every slot converted to your device's local time, which is the version you actually schedule against. Converting once, visibly, is safer than storing a converted number and losing track of which clock it belongs to.
At least 5 posts with a timestamp. Below that a day-and-hour pattern is noise. Even above it, a slot holding a single video is an anecdote rather than a trend, so slots with 2 or more posts are preferred for the ranking and the page tells you when it had to fall back to single-post slots.
No. It reads what any logged-out visitor to your profile can see, through a data provider. It never asks for a login, a password or a TikTok connection, and it cannot see your Creator Center analytics, your audience demographics or anything else behind your account.
No, and anyone promising that is selling something. Posting time affects the first hour, and the first hour affects how big a test audience TikTok gives a video. What the video does with that audience is down to the video. Treat the best slot as a way to stop losing reach you already earned, not as a growth strategy on its own.
what a creator earns per sponsored post
the percentile a follower count sits in
which signals the ranking model rewards or ignores
which accounts and categories in our catalog are growing fastest
score an 80-character bio on offer, call to action and searchability
what an account's engagement rate is against accounts its size
the whole tracked market, sorted and filtered
PlayerSells is not affiliated with TikTok. Post times and per-post counters are read from the public profile through a third-party data provider at the moment you run the tool, and the date range covered is printed with every result. Follower counts and categories, where shown, come from PlayerSells’ own TikTok catalog. Nothing on this page is an estimate of a metric we did not read.
