YouTube Shorts Hook Duration & Retention Scorer

Score your YouTube Shorts hook effectiveness. Analyze hook duration, swipe-away rate, retention, and loop rate to get an actionable grade for your Shorts performance.

Mathematical Audit

Shorts Hook & Retention Scoring Formula

The hook score is a weighted composite of swipe retention, view-through retention, hook duration efficiency, and loop replay rate, graded on a 100-point scale.

Retention Rate = (Avg View Duration / Total Duration) × 100
Swipe Retained % = 100 − Swipe Away %
Effective Views = Impressions × (Swipe Retained % / 100)
Loop-Adjusted Views = Effective Views × (1 + Loop Rate / 100)
Hook Score = Swipe Score + Retention Score + Duration Score + Loop Score
Watch Time (hrs) = Loop-Adjusted Views × Avg View Duration / 3,600

Hook duration under 2 seconds scores highest. The algorithm heavily favors Shorts where viewers don't swipe away in the first 1-3 seconds. Loop rate above 20% signals strong re-watch appeal.

Operational Guide

How to Score Your YouTube Shorts Hook

1

Enter hook and video duration

Set how many seconds your hook lasts (the opening attention grab) and the total Short duration.

2

Input retention metrics

Enter your average view duration and the percentage of viewers who swipe away from YouTube Studio analytics.

3

Add impressions and loop rate

Enter total impressions and what percentage of viewers watch the Short more than once.

4

Review your hook score and grade

Get a score out of 100 and a letter grade (A+ to D) with insights on what to improve.

Real-World Scenario Example

"A 30-second Short with a 2-second hook, 12-second average view duration, 100K impressions, 40% swipe-away rate, and 15% loop rate."

Inputs

hookDurationSeconds:2
avgViewDurationSeconds:12
totalDurationSeconds:30
impressions:100000
swipeAwayPercent:40
loopRate:15

Result

Hook score of 67/100 (B+ grade). 60,000 effective views with 69,000 loop-adjusted views. Estimated 230 hours of watch time. Swipe retention is the biggest improvement opportunity.

Important Disclaimer

Hook scores are based on weighted benchmarks from industry data. Actual algorithmic performance depends on many additional factors including audience demographics, content quality, and trending topics.