AI Models Predict Purchases Better Than Humans
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.
Methodology
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.
Author's summary: AI models predict purchases better than humans.
More News
- Nassau County Veteran’s Day 2025: ceremonies, concerts and community events
- Canada's immigration system is lost in the bushes
- Ecuador: RSF condemns murder of journalist Álex Fernando Álvarez Vera, calls for rigorous, independent investigation
- High wind Warning Issued for Our Area - Sonoma Valley Sun
- What to Know About 2026 Concerts at Empower Field at Mile High
- EU Approves 5th Ukraine Facility Payment of €1.8 Billion to Kyiv
- Watch: Hugh Jackman, Kate Hudson form Neil Diamond tribute band in 'Song Sung Blue' - UPI.com
- Medford voters set to vote for City Council, School Committee, new charter amid zoning debate and federal actions - The Tufts Daily
- Red Kettle Ringer Alert: Bell County Needs Volunteers to Raise Crucial $125K
- Inside Selling Sunset Star Bre Tiesi's Lawsuit