“A corporate drama text hook you can use to promote a B2B app - it lays out a petty workplace revenge story built entirely inside the presentation software.”
80× outlier4/5 reach magnitude vs the account's own baseline.
How hard it moved viewers to save, share, and comment.
Why this qualified
Handler logged this text-heavy post at 409K views, a jump of 80x over the account's median. The Outlier score is exactly that jump, and with 5.1K views being ordinary for this account the breakout stands well clear of its own baseline. That is the bar every post in this library has cleared.
Saves and shares carry the most weight in a Pull score, and this post's landed at 5/5 (11.8% weighted). It promotes An AI presentation builder. Pull is the intent side of the two scores - a post can rack up views and still convert nothing, so Handler tracks reach and Pull as separate reads.
By the raw numbers the post logged 33K likes, 69 comments, 2.7K shares, and 1.1K saves - the metrics Handler weighs into its Pull read, and the same figures you see in the panel above.
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 screen capture of an interface with dialogue audio serving as the spoken hook. Over about 7 seconds, the clip progresses through two fast-paced beats centered on presentation generation. Large, centered text overlays display the spoken dialogue line by line, contrasting with the background software display. The presentation application remains visible on screen throughout the brief run time, showing automated deck formatting in real time as the dialogue finishes with the final line questioning sanity. The footage cuts abruptly at the conclusion of the audio without any transition cards or dedicated outro.
How this post compares
Its 409K views run about 1.9x the median of recent b2b outliers in the library. That reach multiple ranks in the top 55% of the 190 b2b outliers we currently track. Its Pull score sits in the top 60% 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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