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JevMade field notes / Guide

Jev for ads

A survey of Jev-based ad workflows that classify competitor libraries, simulate bounded persona reactions, and score creative before spend, using figures reported by each builder.

Original by Made with JevClassificationMade with Jev guideSource reviewed

Before you dive in

What you’ll find in the original

  1. Large ad libraries become tractable when each creative is labelled against a fixed funnel, format, offer, or mismatch rubric.
  2. Persona tests ask a constrained stop-or-scroll question repeatedly; they are simulations, not observed buyer behaviour.
  3. Use the model for judgments and another system for collecting ads, generating creative, and enforcing campaign decisions.
Worth knowing

All outcomes and costs are author-reported. Simulated personas and preflight scores are hypotheses, not evidence of real conversion lift.