Peter Ebbes holds a Ph.D. in economics and marketing from the University of Groningen (Netherlands).

His research focuses on understanding aspects of consumer behavior through data sources now commonly collected by many companies. In his research he develops novel statistical methods to accommodate the increasing complexity of the consumer marketplace and the growing richness of available data sources. Insights from his studies help to improve marketing decision making, particularly concerning segmentation, targeting, and pricing activities.

Peter's work has been published in Marketing Science, Quantitative Marketing and Economics (QME), International Journal of Research in Marketing (IJRM), Psychometrika, and other journals. He is the winner of the 2011 IJRM Best Paper award.
He served on the organizing committee of the Advanced Research Techniques (ART) Forum, a conference that brings together quantitative researchers from industry and academia. He also served as secretary/treasurer of the Section on Statistics in Marketing within the American Statistical Association. Peter is currently a member of the American Marketing Association (AMA), INFORMS, the American Statistical Association (ASA), and the Psychometric Society.

His teaching interests include marketing research and analytics, marketing models, and business statistics. Prior to joining HEC Paris in 2012, he taught at the Ohio State University and Penn State University.

identity card




«Associate Professor»

Research Areas

Endogeneity problems

Heterogeneity problems

Social networks

Marketing models

Quantitative marketing research

Conjoint analysis

Choice models

Bayesian statistics