The best time to post on TikTok, measured across 5,311 videos

Every TikTok guide promises a single best hour to post. Open three of them and you get three different hours, each ranked on raw engagement, where a few huge accounts posting at the same time can invent a peak that more data erases. So I pulled 5,311 recent TikTok videos from 602 creators and scored each against its own creator's baseline. Timing barely moved it, and Saturday, the day most guides crown, ranked worst.
- Timing barely moves engagement. Most day-and-hour slots land within a few points of a creator's usual video.
- Saturday is the one consistently weak day, and the dip deepens the bigger your account is.
- The hour you pick barely matters during normal posting times, roughly 6am to midnight.
- Under 50k followers, none of this showed up. The smallest creators had no timing pattern at all.
I measured engagement in likes and scored every video against its own creator's median, so a big account's baseline doesn't drown out a smaller one's. The sample spans 54 niches and every follower tier, sorted by the weekday and hour each video went up, in US Eastern.
This is the full weekday-by-hour grid. Most cells land within a few points of a creator's normal video.
At a glance
| Question | What the data says |
|---|---|
| Best day | Tuesday, by a hair (1.05x a creator's normal) |
| Worst day | Saturday (0.90x), the one consistent dip |
| Best hour | No winner. Roughly flat from 6am to midnight |
| Does timing matter? | A little, and mostly as a Saturday penalty |
| Who should care | Accounts over 500k followers. Under 50k, ignore it |
The day barely matters, and Saturday is the weak spot
Line up the seven days and six of them sit right around a creator's normal video. The exception is Saturday, at 0.90x. A typical Saturday post lands about 10% below that creator's usual likes. Tuesday is nominally the best at 1.05x, but a 15-point spread between the best and worst day is not much to build a schedule on.
Saturday is cool across almost every hour, not just one slot. If you post daily, skip Saturday first. The other six days were too close to call.
The hour barely matters
From 6am to midnight, every hour lands within five points of a creator's normal. The bigger swings, 0.91x at 1am or 1.11x at 3am, sit on the thinnest overnight data, where a handful of videos can move the median.
There is no 6pm peak here, and no lunchtime one either. The overnight bumps are most likely posts on a timer, going out while their creators sleep. If a better hour exists for your audience, it is small enough that only your own posts will show it.
The coldest cells: Saturday, and Sunday before sunrise
Put day and hour together and there are two cold regions. Saturday runs cool from late morning into the evening. The coldest cells of all are Sunday in the small hours, bottoming out near 0.75x around 2am before warming up after sunrise. Weekday daytime is unremarkable, close to a creator's normal the whole way through.
The warm cells are scattered, mostly late Friday evenings, 9 to 11pm, the only cells that reach about 1.2x. Test them on your own account before you trust them.
Saturday mostly hurts bigger accounts
The Saturday dip changes by follower tier. Split it by follower count and it barely touches the smallest creators while it lands hardest on mid-size and large ones.
- Nano (under 50k): no dip. Saturday looks like any other day.
- Micro (50k to 500k): a slight dip, to 0.95x.
- Mid (500k to 5M): the deepest, 0.87x.
- Mega (5M and up): about the same, 0.88x.
If you have under 50k followers, I didn't find a weekday signal at all. The Saturday dip shows up above 50k and is deepest above 500k. I don't have a clean explanation for why it concentrates in larger accounts, only that the pattern held across the sample.
Why thin data invents a best time
Most "best time to post" charts promise a precise hour. The problem is sample size: any single hour on a single day holds only a slice of posts, and one creator's breakout in that slice can look like a real pattern. A chart built on those thin buckets will hand you a confident peak that more data erases.
That is why each cell here is smoothed over a five-hour window, so a spike has to survive its neighbors to show up. What is left is a rough shape, and I wouldn't trust it down to the minute.
How this compares to the big studies
The big published studies disagree with each other:
- Buffer analyzed 7.1 million posts and named Saturday the best day. My data puts it last.
- Sprout Social points to weekday afternoons, Tuesday through Thursday, 2 to 6pm.
- Hootsuite lands on Thursday, 7 to 11am.
When the big studies land on different days and hours, the effect is small enough to bend with method. Mine scores each video against its own creator's baseline, where these studies rank raw engagement by post time. A few huge accounts posting at the same hour can make that hour look better than it is.
How I measured it, and who I ran it on
I ran this on 602 creators across 54 niches and every follower tier, and pulled their recent videos. Here is how the sample breaks down.
The procedure:
- Sample creators across the spectrum. I searched 54 niches (cooking, finance, gaming, beauty, sports, parenting, and so on) with English keyword queries and pulled creators from every follower tier, in the mix shown above.
- Pull recent videos for each creator, with the post timestamp and like count, going back about 18 months.
- Normalize per creator. Score every video against its own creator's median likes, then cap each score at 6x so one viral hit counts once instead of dragging a whole cell up.
- Bucket and smooth. Convert to US Eastern, group by weekday and hour, and set each cell to the median of every video in a five-hour window around that hour (two on each side, wrapping past midnight). The smoothing keeps a thin 3am cell from jumping on two lucky posts.
I collected the data in June 2026. The whole crawl cost about $2.30: roughly 1,100 calls to the tiktok.profile_videos and tiktok.search_users endpoints across two passes, at this catalog's per-request rate. Both are in the full TikTok endpoint rundown, with the exact request for each. The same recipe runs on your own niche, or on Instagram and X, and gives you a chart for your audience instead of a generic one.
A few things to keep in mind
- These are patterns, not proof. I can't fully tell a good posting time apart from creators simply posting their better videos at certain times.
- I counted likes against each creator's own typical video, not raw reach or how hard the For You page pushed a clip.
- Older videos have had more time to collect likes, which I didn't adjust for, so treat small gaps loosely.
- The 5,311 videos come from 602 creators, so a different set of creators could shift the weak-Saturday read.
- Everything is in US Eastern, and I didn't account for where each creator's audience actually lives. If yours leans West Coast or international, slide the times to match.
In this sample, timing moved engagement less than 10 points on most days. Saturday was the exception.
How to find your own best time
Use this study to avoid Saturday, and use your own posts to pick an hour. My chart is US Eastern across 602 mixed creators. If your audience is West Coast, student-heavy, or mostly outside the US, treat it as a rough prior and rebuild it from your own account.
- Skip Saturday if you're past 50k, and don't sweat the hour. Below that I didn't find a timing signal worth chasing, so spend the effort on format instead.
- Pull your own videos. Run the same two endpoints against your own handle, or against a tighter slice of your niche than my 54.
- Compare each video to your own typical post. That way one breakout hit doesn't invent a fake best time for you.
- Change one thing at a time. Give a new posting slot a few weeks before you trust it, and hold your cadence steady while you test.
Frequently asked questions
What is the best time to post on TikTok?
There isn't a single one. Across 5,311 videos, no hour stood out between 6am and midnight, and the best day (Tuesday) beat the average by only five points. The clearest signal is which time to avoid: Saturday.
Does posting time matter on TikTok?
Less than most guides claim. For accounts under 50k followers I found no weekday pattern at all. Above 500k, a Saturday post ran about 10% below the creator's own normal. In this crawl the clock moved most buckets only a few points, so I'd test format and cadence before chasing a posting minute.
What is the worst time to post on TikTok?
In this sample, Saturday, plus the small hours of Sunday. Saturday trailed every other day, and Sunday between roughly midnight and sunrise held the single coldest cells, down to 0.75x.
What is the best day to post on TikTok?
Tuesday edged the rest at 1.05x a creator's normal video, but the spread between the best and worst day was only 15 points. The clearer signal is the day to avoid: Saturday, at 0.90x.
Why is Saturday the worst day to post?
In this sample a typical Saturday post landed about 10% below that creator's own normal, across almost every hour rather than one slot. I don't have a clean explanation for why the dip concentrates in larger accounts; the pattern held, but the cause is open.
Does the best time to post change with follower count?
Yes. Under 50k followers I found no weekday signal at all. The Saturday dip appears above 50k and is deepest for mid-size accounts, 500k to 5M, at 0.87x.
Why do other studies name a different best time?
Buffer named Saturday, Sprout Social points to weekday afternoons, and Hootsuite lands on Thursday mornings. When the big studies disagree, the effect is small enough to bend with method. Mine scores each video against its own creator's baseline, where ranking raw engagement lets a few huge accounts make their posting hour look better than it is.
How do I find my own best time to post?
Pull your own videos with tiktok.profile_videos, score each against your own typical post so one viral hit doesn't invent a fake peak, then change one variable at a time over a few weeks. The TikTok endpoint rundown shows the exact call.
How was this measured?
I pulled 5,311 videos from 602 creators across 54 niches and every follower tier, scored each video against its own creator's median likes, capped outliers at 6x, converted to US Eastern, and smoothed each cell over a five-hour moving median. The whole crawl cost about $2.30.
Does this apply outside the US?
The data is US Eastern and doesn't account for where each creator's audience actually lives. If yours leans West Coast or international, treat the chart as a rough prior and rebuild it from your own posts.
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