“A relationship-breakup slideshow you can use to market a photo-editing app - opening on a dramatic personal hook, then cycling through before-and-after photo enhancements to drive downloads.”

1/5 reach magnitude vs the account's own baseline.
How hard it moved viewers to save, share, and comment.
Why this qualified
this post reached 1.4M views. 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.
An AI photo editing app is the product on screen. Where reach gets a post seen, Pull - here 4/5, 6.0% 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.
The counts behind those scores: 79K likes, 148 comments, 96 shares, and 1.1K saves. Saves and shares are weighted heaviest because they are the actions that carry a post into more feeds.
The full breakdown - why the hook works, the comment-intent read, and the ready-to-shoot dupe kit - lives inside Handler.
Anatomy
This 13-second silent video slideshow opens directly on a photo-focused visual sequence without spoken dialogue. It moves through a handful of distinct image beats at a moderate, consistent pace. On-screen text overlays deliver the hook and provide context across the progression of frames, paired with the concise caption below. The visual flow presents an initial unedited image, transitions into the featured photo-editing application interface, and displays the corrected versions of the photos. The sequence wraps up on the transformed output images before looping back to the initial frame.
How this post compares
Its 1.4M views run about 4.8x the median of recent outliers in the library. Its Pull score sits in the top 69% of that same set.
Likes led the raw counts, though saves and shares are what move Pull hardest. It is one of the few Slideshow breakouts among recent outliers in the library, just 14% of the pool.
Collections by app niche
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Another AI Photo Editing outlier
Another AI Photo Editing outlier
Want to dupe these outliers for your own app?
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