New Data for Consumer Insights Conference

May 30-31, 2025

Paper Submissions: Closed

 

Conference Co-chairs:

Giovanni Compiani, Assistant Professor of Marketing, Chicago Booth

 

Malika Korganbekova, Assistant Professor of Marketing, Chicago Booth

Estimating consumer preferences is a key building block of many empirical analyses in marketing and economics, including pricing, merger policy, product design and branding.
Standard approaches focus on one product category at a time and model demand as a function of a few marketing mix variables and product attributes. Recently, new sources of data have become available, including:

• Unstructured data (e.g., texts, images and videos)
• Big data (e.g., data from a large number of possibly interrelated product categories)
• Clickstream data (e.g., search sessions on e-commerce platforms)
• Data produced by generative AI (e.g., ChatGPT)
• Novel survey data

The conference aims to bring together scholars in marketing, economics and statistics/AI/ML who use Machine Learning, NLP, and other tools to extract valuable insights from new types of data. We hope the conference can serve as a bridge between different fields. Extended abstracts and full papers are welcome for both methodological and empirical submissions. 

In addition to contributed sessions, the conference will feature keynote lectures by Susan Athey and Greg Lewis.

Programming: 
Friday, May 30, 2025 12:00 - 9:00 p.m. CT | Chicago Booth, Gleacher Center 
Saturday, May 31, 2025 9:00 a.m. - 5:00 p.m. CT | Chicago Booth, Gleacher Center 

Agenda: 
View programming agenda here. 

Registration: 
Registration is open.

Pricing: 
Faculty: $150 USD 
University of Chicago Faculty: No cost (The conference is free to attend for University of Chicago faculty, but due to venue space limitations, we expect all registered participants to make every effort to attend).
Speaker/Discussant: No cost

Accommodations:
Hotel recommendations

For questions, please contact Flora Alvarado.