Outlier research

  • Every creator's catalog, scored against their own median. The true outliers, and why they worked.

Point it at your roster. It reads full catalogs, scores every video against that creator's own baseline, and hands you the outliers with the variable that made each one work.

One product. One phase of the loop.

Study the outliers, spread your idea, double down on the winner — each product runs on its own, or as one system.

And the idea stays yours. The machine multiplies; it never invents.

Scored vs their own median

A 2M-view video from a 5M-follower account is noise. A 40× outlier from a small account is signal.

The variable, isolated

Each outlier comes with WHY: the hook that held, the format that carried, the angle that hit.

A sheet, not a mood

Hook / Format / Avatar sections you can cite when you author your dimensions.

Outlier research: study what actually broke out

Most people study their niche by vibes — they remember the three videos the algorithm showed them. This product reads the whole catalog.

What it does, behind the scenes

  1. Pulls every recent video for each creator on your roster.
  2. Scores each video against that creator's OWN median — an outlier is relative to its baseline, not to the niche.
  3. Watches the true outliers and breaks down what carried them: the hook, the format, the angle, the avatar.
  4. Assembles a research sheet organized by dimension, so the patterns are reusable.

What you get back

A research sheet with Hook / Format / Avatar sections, grounded in the actual breakout videos of your lane. This is the raw material your spreads draw from.

Frequently asked questions

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