“A text-heavy rules list you can use to market a dating app - it hooks with highly relatable red flags to capture attention and direct viewers to a native caption pitch.”
23× outlier2/5 reach magnitude vs the account's own baseline.
How hard it moved viewers to save, share, and comment.
Why this qualified
54K views on a text-heavy post, 23x the account's usual reach. The Outlier score reads reach as a multiple of the account's own median, and that median sits around 2.4K 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 5/5 (7.2% 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 dating app. Reach gets a post seen; Pull is the read on whether it landed.
Broken out, the post drew 2.6K likes, 13 comments, 58 shares, and 245 saves. Those are the numbers the Outlier and Pull scores are built from, nothing modelled or projected.
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 five seconds in a silent, text-heavy format. It opens immediately with a prominent text overlay across the frame, delivering the core statement without spoken audio. The clip unfolds across a single static beat, maintaining a fast and direct pacing throughout its short duration. Minimal visual motion occurs in the background while the central on-screen text remains fixed on display. The featured dating app appears referenced directly through the text elements and the accompanying post caption, keeping the entire presentation focused strictly on the written hook from start to finish.
How this post compares
Its 54K views run about 0.2x the median of recent outliers in the library. That reach multiple ranks in the top 64% of the 361 other outliers we currently track. Its Pull score sits in the top 65% of that same set.
Likes led the raw counts, though saves and shares are what move Pull hardest. It is one of the few Text-Heavy breakouts among recent outliers in the library, just 2% of the pool.
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Want to dupe these outliers for your own app?
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