See how your published videos actually held their audience.
Measured behaviour from videos you already published. It answers a different question from the review of a new cut: what viewers did, rather than what your next upload should change.
What we measure
Drop-off moments
Where viewers leave and the exact sentence spoken at that second.
Rewatch peaks
Where viewers rewind and what story or tip had them hooked.
Benchmark comparison
How each video retention curve stacks up against your top-performing uploads.
Format patterns
Which video structures and intros consistently earn the most watch time.
For every retention shift, you get
The metric
60% viewer drop
The context
occurred during the pricing breakdown at 3:22
The pattern
this same drop happened on 4 other recent videos
The action
move pricing to the conclusion or break it into a separate video
Sample report
RETENTION MARKERS: "How to Choose Foundation Materials"
3:22, CRITICAL DROP (-60%)
"Let me walk you through the pricing..."
Pattern: putting pricing in the opening lost 55% to 65% on 5 recent videos.
Action: move pricing details to a dedicated section at the end.
7:45, NOTABLE REWATCH PEAK (+25%)
"...like the Johnson project where we saved $40K..."
Pattern: real case studies hold attention 3x longer than channel average.
Action: expand this case study segment and film a dedicated follow-up.
Overall: 42% average retention (below your channel average of 61%).
Recommendation: this topic performs much better as a story-driven case study than a generic tutorial.
Access insights from any AI agent
Every retention insight is available through our MCP connector. Your team AI assistant (Claude, ChatGPT, Cursor) can query retention markers, channel patterns, and content advice directly.
You: "What topic should I film next based on recent retention?"
Claude queries VidSeeds.ai MCP and returns a data-backed plan
Turn Viewer Data Into Your Next Winning Video
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