Zenith
AI retention intelligence for short-form video

Watch every second. Know exactly where they leave.

Zenith Vertical analyzes your short-form videos second-by-second and tells you exactly where viewers drop off — and how to fix it. Built for TikTok, Reels, and Shorts.

Per-second diagnosisScroll-risk heatmapExport-ready report
The problem

Stop wondering why your videos lose viewers

Every creator knows the feeling: you upload, and within seconds people are scrolling away. Zenith diagnoses why. Our AI scans every second — pinpointing exactly where retention drops, what pacing kills engagement, and which moments make people scroll past — then hands you a clear, visual report you can act on.

What you get

From raw footage to scroll-risk heatmap

No guesswork, no vague metrics — a per-second breakdown of your video's retention risk. Here's a live sample of the report.

Source Media

Demo mode — no source media

ANALYSIS REPORT

ZENITH SCORE

5 scenes analysed. 1 critical drop-risk window identified. Peak: 86/100.

1 CRITICAL
OPTIMIZED
COMPLETE
A0

Peak Moment

00:04 - 00:07

Scenes

5

Implementation Guide

High-Leverage Strategy

🎬 Action Plan — Edit Checklist

Your hook lands and the method is genuinely interesting — you're losing people in two spots: a flat first second and a collapsed outro. Fix those two and this clip changes tier.

[0:000:03] Hook — add motion

🔍 0:00: Punch-In to ~110% landing on "doubled my watch time" — pure kinetic, no sync change.

💬 0:02: Flash a bold "DOUBLED" pop-up (upper-center, ~1s) as you finish the word.

[0:030:11] Method — anchor the idea

💬 0:05: Text card "CUT ON THE SILENCE" (~1.5s) so the tip is legible on mute and saveable.

🖥️ 0:08: Cut to a screen-recording inset of the actual delete — turn the claim into visible proof and restore motion where your eyeline drops.

[0:110:14] Payoff — reinforce

💬 0:12: Caption "NO DEAD AIR" synced to the line; add a soft click/whoosh on the demonstrated cut.

[0:140:22] Outro — the critical fix

✂️ 0:16: Hard-cut everything after this — delete "So… yeah… try it out I guess." The trailing filler + dead air is your single biggest drop driver (~40%).

🔁 End: Match-cut the last frame back to 0:00 so the video loops, or end on a "CUT ON THE SILENCE." card. End on strength, not a low-energy ask.

Why this order

The first second sets your ceiling and the last six decide whether the algorithm keeps pushing it. Closing the outro cliff alone recovers the bulk of your late drop-off; the hook motion lifts the front.

Export Findings

Download your full report to read or share.

Diagnostic Engine

Scene-by-scene retention analysis

3-Second Hook AnalysisOpening window
C
64/100Needs Work

You've got a strong command-style hook and a concrete, believable claim, but the first second is visually flat — the framing doesn't move and your expression is neutral, so it reads as 'a tip video' rather than a scroll-stopper. Open on a held, high-energy expression and let the frame move, and this jumps a tier.

What You Said

"Stop scrolling — this one edit doubled my watch time and it takes ten seconds."

PacingYou open direct-to-camera in a bright room, leaning into the lens with both hands raised mid-gesture, then settle them to chest level as you land the promise — the lean-in gives the first second forward momentum before the framing goes static.
Hook Psychology
Curiosity, FOMO
What Worked
  • The opening line 'Stop scrolling — this one edit doubled my watch time' is a direct command plus a specific, believable claim, which triggers instant self-identification in anyone who posts video.
  • You front-load the payoff ('and it takes ten seconds'), so viewers know the time cost is tiny and feel safe staying for the demo.
  • Baked-in captions keep the hook readable on mute — that's what actually stops the silent scroll in the first second.
The Diagnosis

You've nailed the verbal hook — the command-plus-claim structure lands hard and the captions carry it on mute — but the framing goes static the instant your hands drop, so there's no visual reward to match the verbal tease and the eye starts hunting for the next video. A slow push-in across the first three seconds plus a bold pop-up on the word 'doubled' gives the hook a kinetic beat that feels earned by the line, holding attention into the method without competing with your face.

Action: The Cure
  • Add a Punch-In (push to ~110%) starting at 0:00 and landing on 'doubled my watch time' — it's a pure kinetic move that doesn't touch your audio or lip-sync, and it breaks the static frame right as the claim hits.
  • Layer a 'DOUBLED' text pop-up at 0:02 that appears for ~1 second as you finish the word — it lands after the dialogue so there's no sync collision, and it gives the claim a visual exclamation point for mute viewers.
Predicted Retention Recovery+14%
Visual Ideas

Pick one or two — not all of these.

  • Add a slow push-in (to ~105% over 3s, ease-out) from 0:00 so the frame is always subtly moving while you deliver the hook — kills the static-talking-head feel without a hard cut.
  • Flash a bold 'DOUBLED' pop-up in the upper-center safe zone (clear of the username and the right-side engagement rail) with a 0.2s scale-in as you say the word, then snap it away after ~1s.
  • Hold your strongest expression for the first half-second before speaking — a beat of confident eye contact gives the scroll a face to lock onto.
What You Said

"And yeah, that's pretty much it. So... yeah. Try it out I guess, and uh, follow for more I guess."

PacingYour energy visibly collapses on the outro — the gestures stop, your shoulders drop, and there are two roughly one-second pauses ('So... yeah.') with a flat, trailing delivery and no movement in the frame.
Hook Psychology
Resolution, Relatability
What Worked
  • The content of the tip is fully delivered before this point, so viewers who make it here already got the value — the structure up to the outro is sound.
The Diagnosis

This is where the clip bleeds viewers: your energy falls off a cliff on the outro, there are nearly two seconds of filler and dead air ('So... yeah...'), and the limp 'follow for more I guess' hands the algorithm a soft ending instead of a reason to loop or share. Hard-cut the trailing filler and end on either a one-line punch that restates the payoff or a loop back to the hook, so the last frame drives a rewatch instead of a swipe-away.

Action: The Cure
  • Hard-cut everything after 0:16 — delete 'So... yeah... try it out I guess' — the filler and dead air are the single biggest drop driver, and cutting them ends the clip on your last strong beat.
  • Replace the outro with a ~1.5s loop back to the hook frame (a match cut to 0:00) so the video replays seamlessly — looping is the cheapest watch-time multiplier and turns a weak ending into a strength.
Predicted Retention Recovery+25%
Visual Ideas

Pick one or two — not all of these.

  • End on a bold text card restating the tip ('CUT ON THE SILENCE.') so the final frame is saveable and on-message.
  • Match-cut the last frame back to the first so the video loops seamlessly and racks up extra watch time.
  • If you keep a CTA, make it a 1-second text overlay ('Follow for more edits') instead of a spoken, low-energy ask.
Calibrated to your content

Built for how you create

A deadpan comedy pause isn't dead air. A tutorial's slow build isn't a drop-off. Zenith scores retention against what actually works for your genre — not a generic algorithm.

Solo CreatorConversationTutorialComedyGamingSoft Spoken
Act on it

Export, edit, improve

Get a report you can download and share. View the heatmap in-app, export the findings as PDF or CSV, brief your editing team, or pitch a sponsor on why a re-cut will perform better. Every creator, editor, and team has a use for it.

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