AI Models and Purchase Intent
A new study reveals that AI models can accurately predict human purchase intent, potentially surpassing traditional marketing methods.
Researchers from the University of Mannheim and ETH Zürich discovered that large language models can forecast buying behavior with striking accuracy.
Forget focus groups: A new study found that large language models can forecast whether you want to buy something with striking accuracy, dramatically outperforming traditional marketing tools.
- The study introduced a method called "Semantic Similarity Rating," which transforms free-form text into structured survey data.
- This method converts the model’s open-ended responses into numerical “Likert” ratings, a five-point scale used in traditional consumer research.
Author's summary: AI models predict purchases better than humans.
More News
- Bose headphones and earbuds return to all-time lows for Black Friday
- 0-12? Stephen Curry Drops Truth Bomb On Steve Kerr's Declaration After Losing To Bucks Without Giannis
- Adobe’s experimental AI tool can edit entire videos using one frame
- Stephen A. Smith Questions Why Chris Grier Got Fired Before Mike McDaniel After Dolphins' Embarrassing Loss
- Heat's 'uneven' play vs. Victor Wembanyama, Spurs leads to honest Erik Spoelstra admission
- Bam Adebayo's evolution into 'three-level scorer' starts with Heat's new offense
- No Giannis, No Problem — Bucks Take Down Warriors as Antetokounmpo Steals the Show in Minion Costume
- How Blue Jays' Vladimir Guerrero Jr. already joined Barry Bonds in World Series history
- Night dives reveal hidden alliances between young fish and larval anemones
- 'BHV has muddled its own narrative by associating with Shein'