“A POV hook you can use to sell a health & fitness app - deliver the line 'so I found a walking app' then cut to screen recordings of avatar step tracking.”
130× outlier5/5 reach magnitude vs the account's own baseline.
How hard it moved viewers to save, share, and comment.
Why this qualified
81K views on a app demo post, 130x the account's usual reach. The Outlier score reads reach as a multiple of the account's own median, and that median sits around 622 views, which is why the multiple matters more than the raw view count - it isolates the posts that outran their own channel instead of the ones riding a big following.
Its Pull score of 3/5 (3.3% weighted) measures how hard it moved viewers to save, share, and comment - the actions weighted heaviest because they signal real intent rather than a passing tap. The product it puts forward is A gamified step-tracking app. Reach gets a post seen; Pull is the read on whether it landed.
By the raw numbers the post logged 2.1K likes, 13 comments, 22 shares, and 100 saves - the metrics Handler weighs into its Pull read, and the same figures you see in the panel above.
The full breakdown - why the hook works, the comment-intent read, and the ready-to-shoot dupe kit - lives inside Handler.
Anatomy
The video runs for about 7 seconds as a quick app demo. It opens immediately with a direct verbal hook stating, "so I found a walking app that actually makes you want to get up and walk." The line is spoken over on-screen visuals while corresponding text overlays match the spoken words. The video moves rapidly through a compact sequence of two to three visual beats, pairing the spoken voiceover with footage of the mobile walking app interface in action. The product remains centered on screen throughout the runtime as its core features are displayed, supported by the brief caption "it’s the best."
How this post compares
Its 81K views run about 0.4x the median of recent health & fitness outliers in the library. That reach multiple ranks in the top 40% of the 940 health & fitness outliers we currently track. Its Pull score sits in the top 80% of that same set.
Likes led the raw counts, though saves and shares are what move Pull hardest. App Demo makes up 23% of recent health & fitness outliers in the library.
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Want to dupe these outliers for your own app?
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