Kismet Context Vault

ai-persona-simulation-pipeline

2 min read

aliases:

AI Persona Simulation Pipeline (10,500 personas × 110 ads)

Mechanism — ai-persona-simulation-pipeline

Kismet’s quantitative ad-creative scoring system (experiment 14, March-April 2026): 10,500 Gen 180 synthetic personas × 110 Kismet ads = 1,155,000 scored persona-ad pairs. Each pair returns four dimensions — Stop (15% of composite), Visual (10%), Action (25%), Purchase (50%). Purchase dominates because it’s the only dimension that generates revenue.

Core scoring formula: base_purchase = 3.0 + purchase_aff * 0.35 + tag_purch_urg * 2.0, with segment-specific multipliers added per matched persona trait (e.g., wsava_militant +3.0 on clinical_proof; budget_conscious +2.0 on discount; digestive trigger +3.0 on gut_health theme). The TRAIT_WEIGHTS matrix and purchase affinity function are the load-bearing pieces.

What it teaches: the highest-purchase ads stack discount + clinical_proof + vet_endorsed + gut_health simultaneously (Tier 1, 8.35-8.49 composite). Premium-brand ads (B&W beach ritual, Airedale glasses) score 8.20-8.30 — high stop power but lower purchase urgency. Pure clinical-proof ads (96% Saw Results) hit 8.20 because transformation theme + clinical claim each individually unlock +2.0 to +2.5 segment boosts.

Structural insight surfaced by the model: emotional_pull is NEGATIVELY correlated with composite (r=-0.298). Aesthetics (production_quality, uniqueness) without trust signals lose money. The “Big Flavor Yellow” failure (5.33 composite, 2.64 purchase) is the canonical anti-pattern — taste positioning without clinically-proven-gut-health or vet_endorsed → demands_proof segment (23.0%) applies -2.0 penalty.

Pairs with fix-the-gut-fix-the-dog-umbrella as quantitative validation. Use whenever a creative debate needs an evidence anchor.

Aliases

  • persona simulation
  • Gen 180 personas
  • 1.155M scored pairs
  • ad persona scoring

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