Rewind · beta
Your content runs on networks you don’t control.Make timing part of the plan.
You put thought into what you post. Rewind helps you take a closer look at when. Compare your posting time with nearby hours, using engagement patterns from 1.4 billion TikTok posts. Use the comparison to make a more informed choice next time.
Revisit your posting time
Enter the date and local time your post went live. Compare one or two hours either side.
Your entries and files stay in your browser.
or
2. Upload your analytics file of your recent posts
Instagram and TikTok analytics exports work as they are. The free version checks your 40 most recent video posts.
Drop a .csv file here, or choose one
How nearby times compare
Ranked by the estimated difference in views.
Most favourable time in this comparison
17:00
Tue 20 Oct, 17:00
17:00 looks more favourable than 19:00.
The model estimates around 5% higher views at this hour, based on patterns across posts—not a prediction for your individual post.
2 h earlier
Tue 20 Oct, 17:00
- views
- +4.9 %
- likes
- +5.7 %
- comments
- +4.5 %
- shares
- +3.9 %
- saves
- +5.4 %
1 h earlier
Tue 20 Oct, 18:00
- views
- +3.2 %
- likes
- +4.0 %
- comments
- +3.2 %
- shares
- +2.4 %
- saves
- +3.3 %
Original posting time
Tue 20 Oct, 19:00
Reference for comparison
1 h later
Tue 20 Oct, 20:00
- views
- −1.8 %
- likes
- −2.4 %
- comments
- −2.7 %
- shares
- −2.0 %
- saves
- −2.1 %
2 h later
Tue 20 Oct, 21:00
- views
- −3.3 %
- likes
- −3.5 %
- comments
- −4.6 %
- shares
- −3.4 %
- saves
- −3.6 %
higherlowerabout the same
A pattern to learn from—not a verdict on your post
These estimates come from KASPR’s analysis of 1.4 billion TikTok posts published in 2025. They describe how engagement varies with posting time across the dataset. They do not tell us what a different time would have caused for your individual post.
Data behind the research: datasocial TikTok metadata release (CC BY-NC 4.0); KASPR hourly national connectivity, used to estimate the research model and not an input to this comparison. Analysis: KASPR Research.
Read the research: One hour earlierRead the white paper (PDF)
Now plan for your audience.
Looking back is a starting point. KASPR Schedule helps you explore future posting times with your audience’s locations and expected internet conditions in mind.