A 20-minute weekly retention review
A 20-minute agenda that turns last week's curves into one edit decision, one packaging decision, and three numbers you log so the trend is visible.
Every guide, comparison and workflow we’ve published on Audience Retention.
15 articles
A 20-minute agenda that turns last week's curves into one edit decision, one packaging decision, and three numbers you log so the trend is visible.
Evenly spaced small drops mean your transitions are working as exits. The bridge pattern that carries a question across the seam, and how to measure the fix.
Long-form holds when each block has a named job, starting with a first minute that confirms the thumbnail. Fill this block sheet before you script.
A viewer who leaves after getting the answer is not the same as one who leaves bored, but average percentage viewed scores them the same. What to use instead.
Most working formats get retired on boredom, not data. Plot a decay curve per format and use a rolling median to tell one dud episode from a spent shape.
Finishing Part 1 is a strong interest signal, so Part 2 often arrives without search. Build a Part 1 that earns the handoff, then track their views ratio.
End-screen CTAs reach the smallest remaining audience. Place the ask at 55-75% of runtime, right after a payoff, then A/B the timestamp.
A slow bleed is the one retention shape you can diagnose from the script alone. How to score claims per minute, find your band, and edit toward it.
Place re-hooks on your own drop-off timestamps, not on a round interval. Graph-driven placement, then an overlay that shows whether the dip actually flattened.
A 35% first-minute drop can be a disaster or an above-average result. Build a length-banded baseline from your catalogue instead of chasing published averages.
Republish an underperformer with the opening two seconds deleted and nothing else changed. The setup, the metric, and the curve shape that predicts a win.
Completion rate means nothing without a duration band. Floor targets per band, how to build your own from 60 posts, and when shortening beats fixing.
The opening frame carries more hook load than the opening line. What clip-level data shows, the sound-off case, and a first-frame audit for your last 30 posts.
A lab study, a monetization policy, and streaming data each measure something different. None of them found generation quality as the cause of fatigue.
Audience retention analysis for AI creators: read the four curve shapes, diagnose intro cliffs, dips, and spikes, and fix each one with targeted regeneration.