Elea McDonnell Feit is Associate Professor of Marketing at The Ohio State University Fisher College of Business. She has spent much of her career at the boundary between academia and industry, working as a research scientist at General Motors R&D, a methodologist at The Modellers, Executive Director of Wharton Customer Analytics, and an economist at Amazon Ads.

Her research is inspired by the decisions marketers face, including product design and evaluating advertising response. She has published work on A/B testing, advertising incrementality, advertising auctions, conjoint analysis, and data fusion. Methodologically, she is Bayesian, with expertise in causal inference, hierarchical models, data fusion, missing data, and decision theory.

Elea enjoys making marketing analytics accessible and has developed courses in data-driven digital marketing, marketing experiments, and Bayesian and causal inference. She has also developed several open-source workshops and online courses for practitioners and is co-author of R for Marketing Research and Analytics, which has been translated into Chinese, Japanese, and Korean and adapted to Python.

Beginning April 1, 2026 she has been processing papers as Coeditor of the Journal of Marketing Research. She has previously served as Associate Editor for Marketing Science and Management Science.

Views here do not represent my employers

Elea McDonnell Feit


Elea McDonnell Feit is Associate Professor of Marketing at The Ohio State University Fisher College of Business. She has spent much of her career at the boundary between academia and industry, working as a research scientist at General Motors R&D, a methodologist at The Modellers, Executive Director of Wharton Customer Analytics, and an economist at Amazon Ads.

Her research is inspired by the decisions marketers face, including product design and evaluating advertising response. She has published work on A/B testing, advertising incrementality, advertising auctions, conjoint analysis, and data fusion. Methodologically, she is Bayesian, with expertise in causal inference, hierarchical models, data fusion, missing data, and decision theory.

Elea enjoys making marketing analytics accessible and has developed courses in data-driven digital marketing, marketing experiments, and Bayesian and causal inference. She has also developed several open-source workshops and online courses for practitioners and is co-author of R for Marketing Research and Analytics, which has been translated into Chinese, Japanese, and Korean and adapted to Python.

Beginning April 1, 2026 she has been processing papers as Coeditor of the Journal of Marketing Research. She has previously served as Associate Editor for Marketing Science and Management Science.

Views here do not represent my employers