Know where they'll
scroll away.
PeePom predicts your video's retention curve before you post it. It grades every second against ten frameworks and points to the exact moment to fix. One read takes under a minute.
No card required · your uploads stay private
Risk Retention Curve
predicted % of viewers remaining
You find out a video flopped after you've already posted it.
On TikTok, roughly half your audience decides whether to stay in the first second. By the time the retention graph loads in your analytics, the video is live and the verdict is in. PeePom moves that read to before you publish, so a weak hook costs you a re-edit instead of a flop.
A scorecard, not a vibe.
Every video runs through the same retention frameworks, each marked with a traffic light tied to the moment it matters. Not a generic quality score, but concrete checks you can act on.
Visual first impression
The opening tenth of a second: is there a clear focal point the instant the video loads, or does the eye have nothing to lock onto?
The hook
First three seconds: on-screen text, early payoff, keyword presence, and whether you're on camera when it matters.
Audio & captions
Readable captions for the half watching on mute, trending-sound use, and voiceover that sits above the music.
Pacing & dead space
Average shot duration against the 3.5s target, plus frozen frames and silent gaps that leak viewers second to second.
Engagement triggers
Comment prompts, debate hooks, and "comment INFO" style asks that nudge the algorithm in your favour.
CTA alignment
Checks the final third for a call to action that actually matches the goal you set, whether that's clicks, sales, or follows.
Upload to verdict in three steps.
Upload your cut
Drop in the TikTok you're about to post. No export gymnastics. The raw file is enough.
We read it in under a minute
The engine works through the hook, maps the retention curve, scans for dead space, and benchmarks against your account average, live on screen.
Fix the moments that matter
You get the curve, the traffic-light scorecard, and a short list of timestamped fixes. Re-cut, re-score, then publish with the guesswork gone.
See the drop-off before your audience feels it.
Retention is the metric that decides everything else on short-form. The curve is the heart of every report: a projected timeline of who stays and where they leave, built before a single real viewer sees the cut.
- Mirrors the retention graph you already read inside TikTok, so the numbers map to a view you trust.
- Pins each issue to a timestamp, so you see exactly where the drop happens, not just that it did.
- Severity is colour-coded, so the difference between a tweak and a re-shoot is obvious at a glance.
Stop burning shoots on content that tanks.
If you're monetised or building a personal brand to drive leads, every flat upload is a wasted slot. Catch the weak hook before it costs you the post.
A consistent read across every account you run.
Score client cuts before they go live, defend creative calls with the same rubric every time, and spend review meetings on fixes instead of opinions.
Straight answers.
Still deciding? These are the questions creators and agencies ask before their first upload.
How accurate is the prediction?
Why TikTok only right now?
What happens to the videos I upload?
How long does an analysis take?
Do I need to connect my TikTok account?
Stop posting and hoping.
Score your next upload before it goes live. Your first read is free, and it takes about a minute.
Private uploads · no card required