“A corporate revenge story hook you can use to promote a B2B app - text overlay details petty workplace drama where an AI presentation tool delivers an undeniable mic drop.”
102× outlier5/5 reach magnitude vs the account's own baseline.
How hard it moved viewers to save, share, and comment.
Why this qualified
Running 102x the account's own baseline, this post reached 535K views against the 5.2K 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.
An AI presentation maker is the product on screen. Where reach gets a post seen, Pull - here 4/5, 6.9% 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 30K likes, 397 comments, 443 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.
Anatomy
The video opens on a text-heavy frame and runs for about seven seconds without spoken audio. A prominent on-screen text overlay delivers a short workplace hook in a direct, conversational style. The post moves through a single continuous visual beat, maintaining a steady capture of a digital presentation deck interface across the entire duration. Large text overlays remain pinned across the center of the display, pairing with the visual software backdrop. The featured presentation software serves as the visual focus, displaying a finished slide layout on screen until the brief clip ends.
How this post compares
Its 535K views run about 2.5x the median of recent b2b outliers in the library. That reach multiple ranks in the top 50% of the 190 b2b outliers we currently track. Its Pull score sits in the top 75% of that same set.
Likes led the raw counts, though saves and shares are what move Pull hardest. Text-Heavy makes up 18% of recent b2b outliers in the library.
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