🔍

See a sample report

This is what AlgoLens shows after you connect your channel — rebuilt here with fictional data, so you can look around before installing anything.

SAMPLE DATA — fictional channel, no real channel involved

Channel at a glance

Views (28d)
24,918
Avg views per video (last 50)
830
Net subscriber change (28d)
+126
Home feed traffic share (28d)
41.0%
Days since last upload
2.1d

A fictional 4,820-subscriber cooking channel. Every number on this page is made up for illustration.

Where the views changed — traffic mix (28d vs prior 28d)

Traffic sourceViews-share change
Suggested (related videos)58% → 31% (−27pp)
Home feed & subscriptions22% → 41% (+19pp)
Search11% → 12%
External4% → 9%

🔍 AlgoLens's own analysis

Which videos — vs your own channel average

VideoMultipleViews
15-Minute Weeknight Ramen, Upgraded4.2x3,486
Why Your Fried Rice Turns Soggy1.8x1,494
One-Pan Lemon Chicken, Start to Finish1.0x830
My Kitchen Tour (2026)0.6x498
Prepping 5 Lunches in 40 Minutes0.3x249

🔍 AlgoLens's own analysis — "multiple" compares each video to this channel's own average, never to other channels.

Why — retention and the opening

1.0 0.5 0 first 15% 100%
My hook retention (first 15%)
0.42
Peer average
1.00 (baseline)
Difference
−58%

🔍 AlgoLens's own analysis — the first-15% window is compared against the channel's usual baseline.

What the AI advisor writes from these numbers

1
Suggested-video traffic fell 27pp while home-feed traffic grew — recent uploads are reaching existing subscribers, but fewer new viewers are discovering the channel through other videos. Check whether the last three titles drifted away from the topics that previously earned suggested placement.
2
"15-Minute Weeknight Ramen, Upgraded" sits at 4.2x this channel's average while the two most recent uploads sit below 0.6x. That gap pattern points to a content-level difference, not a channel-level problem — compare what the ramen video's first minute does that the recent two don't.
3
On the latest upload, retention in the first 15% is at 42% of this channel's usual baseline — viewers are leaving during the opening. The title promises a finished result; consider showing it in the first few seconds instead of starting with preparation.

🔍 AlgoLens's own analysis — sample output written in the style of the real advisor, from the fictional numbers above. It reads your data; it never promises growth.

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AlgoLens reads only the channel you sign in with, and asks for permission only when you connect.