The Next Frontier of Audience Intel
summary
Builds a custom Audience GPT by clustering anonymized first‑party data, feeding that cluster file into a custom GPT and using retrieval augmented generation to constrain answers. Claims include a Cornell-backed precedent (language models match real responses ~90th percentile) and a case with a travel client that reports a 73% ROAS uplift and 137% conversion uplift after psychographic-driven creative. Covers prompt engineering, clustering validation, where LLMs fail and when traditional data science is still needed.
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chapters (12)
- 0:00Introduction
- 3:10Audience in performance marketing
- 5:58Modern audience challenges
- 9:31Silicon sampling for research
- 12:03Introducing Audience GPT
- 15:59Bringing audiences to life
- 17:22Creative pre-flighting
- 18:45Customer journey mapping
- 19:47Research methods with GPT
- 21:14Create Audience GPT step by step
- 24:27Travel brand case study
- 26:15Q&A
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