Retention Strength
A Content Lab tool that analyzes how well a video keeps viewers watching — through opening hook, pacing & re-hooks, narrative structure, and payoff delivery — then returns a 0–100 Retention Strength Score.
Overview
Retention Strength sits in Content Lab under Video Analysis. Open the dashboard sidebar menu: Go Viral → Content Lab (creator account, desktop), load a public or unlisted YouTube video, then run Retention Strength. Each run costs 3 AI credits — the same cost as other Content Lab video-analysis tools.
How to run
- 1Sign in as a creator. In the dashboard sidebar menu, open Go Viral → Content Lab (desktop).
- 2Import a video: paste a public or unlisted YouTube URL, pick one from your vault, or use a video saved via the Wayo Ads Saver extension.
- 3In Video Analysis, choose Retention Strength and run it (3 credits).
- 4Read the four sub-scores, the overall Retention Strength Score, and the findings — with caption quotes when captions are available.
What it uses
Each analysis looks at the video’s title, packaging, and performance. When captions are available, the tool focuses on spoken structure: opening hook (first ~30s), re-hooks, pacing shifts, and payoff.
- Title and channel name
- Engagement stats when present: views, likes, comments
- When present: title, description, and tags, plus video type (e.g. Short vs longer video), duration, and publish date
Fetched when available
- Captions (primary input for this tool)
- Thumbnail description generated from the video thumbnail image
Scoring framework
The tool scores four parts of the score, then produces one overall Retention Strength Score (0–100). The percentages below show how much each part counts toward the score.
Opening Hook
30%- Quote the actual opening from the captions when available; otherwise analyze the title as the primary hook and infer likely opening strategy from channel positioning and format
- First 5-second scroll survival assessment
- Curiosity continuation from title
- Pattern interrupt presence
Pacing & Re-hooks
30%- Energy shifts throughout the captions (when available)
- Re-hook frequency (about every 60–90s for a longer video, every 2–4s for Shorts)
- Dead time / filler detection (from captions) or pacing inference from duration vs engagement ratio
- Transition quality between sections
Narrative Structure
25%- Open loop creation and resolution
- Story arc presence (setup → tension → payoff)
- Information reveal pacing
- Escalation pattern
Payoff Delivery
15%- Whether the content delivers on the title’s promise
- Payoff timing (before patience runs out?)
- Satisfaction vs frustration balance
What you get
Results appear in the Content Lab result screen.
- Four sub-scores — Opening Hook, Pacing & Re-hooks, Narrative Structure, Payoff Delivery — each as XX / 100 with a short justification.
- One overall Retention Strength Score: XX / 100, plus a one-line verdict on viewer retention.
- When captions are available: specific quotes for findings. When not: findings supported with engagement data and strategic reasoning. Key insights appear as quotes.
Case study
Scenario
A creator is reviewing a published longer tutorial that has captions, to find where retention strategy weakens before planning the next edit or follow-up video.
Context (inputs available)
- Full captions available (with quotable lines)
- Longer-video duration
- Engagement stats (views, likes, comments) when present
- Thumbnail description optional
- Cost: 3 AI credits
Tool result
Score breakdown
0–100
- Opening Hook86/100
- Pacing & Re-hooks74/100
- Narrative Structure79/100
- Payoff Delivery81/100
Retention Strength Score
80 / 100
Strong cold open; mid-section needs tighter re-hooks every ~75 seconds to protect average view duration.
Opening Hook
“Stop scrolling — this is the mistake that killed my first 10 videos.”
- Pattern interrupt in the first line; title curiosity continues into the cold open.
- First-5s scroll survival looks strong for the niche.
Pacing & Re-hooks
- Energy dips around the mid-section where setup runs long.
- Re-hooks appear, but gaps stretch past the 60–90s guideline for a longer video.
Narrative Structure
- Clear setup → tension → payoff arc.
- Open loops are planted early and resolved near the end.
Payoff Delivery
- Title promise is delivered before patience typically runs out.
- Satisfaction outweighs frustration for the core audience.
Takeaways
- Preserve the cold open — Opening Hook is already a strength.
- Add re-hooks about every 60–90 seconds through the mid-section where energy dips.
- Keep the payoff before patience typically runs out so the title promise stays delivered.
Frequently Asked Questions
Is this my YouTube Analytics retention curve?
No. Retention Strength is an AI evaluation of pacing, hooks, story, and payoff. It does not import your audience-retention graph or average view duration % from YouTube Analytics.
What if there are no captions?
The analysis still runs and does not mention missing captions. It uses title structure, duration, engagement metrics, and format to infer retention strategy. Quotes are richer when captions exist.
Does it work on Shorts and longer videos?
Yes. The framework adjusts re-hook expectations (about every 2–4s for Shorts, every 60–90s for a longer video) based on format and duration in context.
How much does one run cost?
3 AI credits per Retention Strength run, same as other Content Lab video-analysis tools.
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