AI Models Predict Purchases with Striking Accuracy
A new study reveals that AI models can forecast purchase intent with greater accuracy than 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.
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 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.
- Large language models can mirror human purchase intent.
- Semantic Similarity Rating method transforms free-form text into structured survey data.
Author's summary: AI models predict purchases better than humans.
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