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AI test screenings and A/B tests

Five simulated personas predict drop-off and confusion; A/B tests compare titles, thumbnails and trailers.

A test screening runs your cut past five simulated audience personas and reports predicted engagement, drop-off points and scenes likely to confuse.

This is a structural heuristic, and it is labelled as one. It reads pacing, scene length, dialogue density and tone-map shape — it is not a real audience, and it does not claim to be. It is useful for catching a fourteen-minute second act with no turn in it; it will not tell you whether your film is good.

A/B testing compares two thumbnails, titles or trailers, measured on click-through, watch time and completion, with a confidence gate so you are not told a 3% difference on 40 views is a result.

Both are replaced by real Theater analytics once a title has an audience.

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