With the greater availability of data and algorithms, firms in today’s digital age are increasingly generating prices or price recommendations based on individual consumers’ personal characteristics and behaviors. Does this benefit or harm consumers, and how should policymakers respond? Sanjog Misra, a Professor of Marketing and Applied AI at the University of Chicago and thought leader on personalized pricing, joins Sergei Zaslavsky and Rubin Waranch to discuss competition and consumer protection perspectives on personalized pricing, as well as policy implications and lessons still to be learned. Listen to this episode to learn more about how economists think about personalized pricing and considerations that may influence regulators and lawmakers grappling with this increasingly prevalent practice.

Sanjog Misra, Charles H. Kellstadt Professor of Marketing and Applied AI, The University of Chicago Booth School of Business

Related Links:

Personalized Pricing and Consumer Welfare
FTC Issues Orders to Eight Companies Seeking Information on Surveillance Pricing

Hosted by:

Sergei Zaslavsky, O’Melveny & Myers LLP and Rubin Waranch, Cooley LLP