Handler
TikTok post·Other·Talking Head·Vintage Photo Editing·camiquinterog_

“A results-first tutorial you can use to market a vintage photo editing app - it opens on a stylized selfie payoff before showing the exact filter and lighting setup needed.”

Watch on TikTok - @camiquinterog_

A results-first tutorial you can use to market a vintage photo editing app - it opens on a stylized selfie payoff before showing the exact filter and lighting setup needed.14× outlier
300K
Views
24K
Likes
32
Comments
564
Shares
13K
Saves
Outlier score
14×

2/5 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 14x the account's own baseline, this post reached 300K views against the 21K 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 and vintage camera app is the product on screen. Where reach gets a post seen, Pull - here 5/5, 25.6% 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 24K likes, 32 comments, 564 shares, and 13K 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

1.0x
vs pool median views
Top 73%
reach multiple in niche
Top 19%
Pull in niche

Its 300K views run about 1.0x the median of recent outliers in the library. That reach multiple ranks in the top 73% of the 354 other outliers we currently track. Its Pull score sits in the top 19% of that same set.

Saves did the heaviest lifting on its Pull score - the action TikTok rewards most. Talking Head makes up 24% of recent outliers in the library.

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Want to dupe these outliers for your own app?

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