RESEARCHMonitorWATCHLIST
Do Synthetic Personas Predict Real Audience Response? A Sim-to-Real Study Where a No-Persona Baseline Beats Persona-Based Copy Simulation
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
A sim-to-real study finds a baseline LLM prompt outperforms persona-conditioned models when predicting real headline A/B test results.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 23 September 2026
- Collected by OneBench
- 24 Sept 2026, 03:01 UK
Stored source excerpt
arXiv:2609.25010v1 Announce Type: cross Abstract: Marketers increasingly use large language models (LLMs) as "synthetic personas" to predict how an audience will react to a piece…
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