AI Models Might Be Able to Predict What You'll Buy Better Than You Can
A new study shows that AI models can mirror human purchase intent, blurring the line between survey respondent and simulator.
Researchers at the University of Mannheim and ETH Zürich have found that large language models can replicate human purchase intent by transforming free-form text into structured survey data.
The team introduced a method called "Semantic Similarity Rating," which converts the model’s open-ended responses into numerical “Likert” ratings, a five-point scale used in traditional consumer research.
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.
Author's summary: AI models can predict purchases with high accuracy.
- Large language models can mirror human purchase intent.
- Semantic Similarity Rating method converts text into numerical! ratings.