Entertainment & Media
Applying academic psychometric models to de-risk slate investments, optimize licensing decisions, and project audience affinity before capital allocation.
Validated +193% Lift
Tiresias models show a substantial increase in predictive accuracy for audience adoption forecasts over traditional demographic-only baselines.
Core Capabilities
Script-to-Audience Matching
Extract latent psychographic motivations from pre-production scripts and treatments to predict downstream audience alignment.
Catalogue Due Diligence
Evaluate film and TV libraries for M&A activity by mapping catalog profiles against contemporary taste distributions.
Taste Vector Clustering
Cluster target demographics by psychographic coordinates instead of fragile, high-churn behavioral history.
Why Psychographic Modeling Works
Traditional M&E analytics look at historical box office data to make forward-looking greenlighting decisions. When content formats shift or audiences fragment, these historic models fail. Tiresias maps the fundamental personality traits (OCEAN dimensions) that drive content preference. By modeling the psychological motivation behind taste, we predict demand for entirely novel concepts.