Video Retention Analyzer
See where viewers may swipe away — before you post.
Platform retention graphs only exist after you publish. UnskipAI estimates the same idea beforehand: a second-by-second read of where your video's hook, pacing and content are likely to lose attention.
Your video
0:42 · example · estimated values
Hook score
8.7
/ 10
Retention
72%
estimated
Reach
High
potential
Retention
100% → 58%
- 0:03 Strong hook
- 0:11 Viewer drop
- 0:19 Engagement spike
- 0:31 Slow pacing
Recommendation
Get to the payoff 1.2s earlier — the hook lands, but the reveal drags.
What UnskipAI analyzes
Drop-off points
The specific seconds most likely to make a viewer leave, and why.
Pacing
Dead time and slow transitions that cost attention between the hook and the payoff.
Hook-to-content match
Whether what follows the hook actually delivers on what it promised.
Engagement spikes
Moments that are estimated to hold attention, worth keeping or reusing.
Fixes
Specific edits to close the gaps, before you publish rather than after.
Estimated attention, not platform analytics
This estimate is built by analyzing your video's hook, pacing and content before you post it. It is not TikTok, Instagram or YouTube's own retention graph, which only exists after real viewers watch. UnskipAI never guarantees how a real audience will behave.
Frequently asked questions
A tool that estimates where viewers are likely to stop watching a video, based on its hook, pacing and content — before it's published.
No. Those are built from real viewer data after you publish. UnskipAI's estimate is built from your video before you publish.
Yes — retention analysis is part of every full video analysis, for all three.
It's based on established attention patterns (hook clarity, pacing, payoff timing) applied to your specific video — useful as guidance, not a certainty.
No. It flags specific passages worth revisiting — the fixes are meant to be applied before you publish, not treated as a verdict.
Videos up to 1 minute today.