A new study reveals that AI models can accurately forecast purchase intent, outperforming traditional marketing tools.
Researchers at the University of Mannheim and ETH Zürich 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 open-ended responses into numerical 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.
This study shows that AI models can mirror human purchase intent, blurring the line between survey respondent and simulator.
Author's summary: AI models predict purchases with striking accuracy.