TikTok post·Health & Fitness·Silent UGC·Sobriety Support·healingwithjulianne

“A self-deprecating list hook you can use to market a health & fitness app - opening on a humorous personal struggle before cutting directly to an encouraging, interactive in-app chat demo.”

Watch on TikTok - @healingwithjulianne

A self-deprecating list hook you can use to market a health & fitness app - opening on a humorous personal struggle before cutting directly to an encouraging, interactive in-app chat demo.532× outlier
102K
Views
28K
Likes
27
Comments
2.4K
Shares
1K
Saves
Outlier score
532×

5/5 reach magnitude vs the account's own baseline.

Pull score
5/5

How hard it moved viewers to save, share, and comment.

Why this qualified

102K views on a silent ugc post, 532x the account's usual reach. The Outlier score reads reach as a multiple of the account's own median, and that median sits around 191 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 (41.3% 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 sobriety support companion app. Reach gets a post seen; Pull is the read on whether it landed.

Broken out, the post drew 28K likes, 27 comments, 2.4K shares, and 1K 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.

How this post compares

0.5x
vs pool median views
Top 19%
reach multiple in niche
Top 2%
Pull in niche

Its 102K views run about 0.5x the median of recent health & fitness outliers in the library. That reach multiple ranks in the top 19% of the 894 health & fitness outliers we currently track. Its Pull score sits in the top 2% of that same set.

Likes led the raw counts, though saves and shares are what move Pull hardest. Silent UGC makes up 30% of recent health & fitness outliers in the library.

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Same Silent UGC format

Want to dupe these outliers for your own app?

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