TikTok post·Other·Slideshow·Vintage Photo Editing·sowiwl

“A recipe tutorial slideshow you can use to promote a vintage photo editing app - it hooks with warm aesthetic images before walking through the exact free in-app settings.”

Watch on TikTok - @sowiwl

A recipe tutorial slideshow you can use to promote a vintage photo editing app - it hooks with warm aesthetic images before walking through the exact free in-app settings. - slide 1
256× outlier1/7
1.7M
Views
101K
Likes
128
Comments
12K
Shares
98K
Saves
Outlier score
256×

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

Running 256x the account's own baseline, this post reached 1.7M views against the 6.6K a normal post there sees. That is the whole test for an outlier in Handler - reach measured against the account's own median rather than against other accounts, so a small account with a genuine breakout still qualifies while a big account coasting on its size does not.

A retro camera emulation app is the product on screen. Where reach gets a post seen, Pull - here 5/5, 31.9% weighted - is what says viewers acted on it, since saves and shares weigh in hardest and a save is the clearest sign a viewer means to come back.

Broken out, the post drew 101K likes, 128 comments, 12K shares, and 98K 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

5.9x
vs pool median views
Top 27%
reach multiple in niche
Top 8%
Pull in niche

Its 1.7M views run about 5.9x the median of recent outliers in the library. That reach multiple ranks in the top 27% of the 354 other outliers we currently track. Its Pull score sits in the top 8% of that same set.

Saves did the heaviest lifting on its Pull score - the action TikTok rewards most. It is one of the few Slideshow breakouts among recent outliers in the library, just 14% of the pool.

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Want to dupe these outliers for your own app?

Handler doesn't just list the winners - it rebuilds them as your own. Your brand's AI creator, your product in every shot, the regeneration prompt and brand overlay done for you.