Audience Catalog Analysis
A preview of population-level catalog intelligence. Select a content catalog and audience archetypes — Tiresias infers each audience's psychographic profile and ranks the entire catalog by predicted affinity.
Minimum watch history: 3 titles per archetype. Accuracy improves with longer viewing history. In a full engagement, we run this analysis across your complete catalog and real audience segments.
vs. Traditional Methods
more accurate.
From day one.
Traditional recommendation methods go blind without extensive behavioral data. They require weeks of viewing history before they can surface meaningful affinity signals. Tiresias delivers high-confidence audience predictions from minimal input, using psychographic inference instead of behavioural accumulation. Deeper insight. Faster signal. Less data required.
Universal translation
A single T-Profile predicts preferences across film, TV, music, and books simultaneously. One personality profile. Every entertainment category. The same inference that ranks your catalogue also surfaces the music genres and reading habits of each user — with no additional data.
Motivational profiles
We don't just predict what an audience will watch next — we model why they watch it. Each T-Profile surfaces the viewing motivation driving the audience: intellectual challenge, emotional warmth, philosophical provocation. A new dimension of intelligence for content strategists and deal teams.
Telemetry inference
Our proprietary method infers T-Profiles from passive viewing telemetry — completion rates, genre patterns, session timing — without surveys or explicit data collection. Any streaming signal becomes a psychometric signal. GDPR-friendly by design.
Note: The users below — Alex, Sam, Jordan, and Morgan — are synthetic personas derived from real statistical cluster analysis of survey respondents. Their watch histories and preference profiles are representative of distinct psychographic cohorts identified in our research, not individual real people.
Input Catalogue
70 titles activeUser Watch History
3–6 titles per userAlex
Sam
Jordan
Morgan