Eleanor M Feit

Elea McDonnell Feit’s research focuses on leveraging customer data to make better product design and advertising decisions, particularly when data is incomplete, unmatched or aggregated. Much of her career has focused on developing new quantitative methods and bringing them into practice, first working in product design at General Motors, then commercializing new methods at the marketing analytics firm,The Modellers, and most recently as the Executive Director of the Wharton Customer Analytics Initiative, where she built the academic-industry partnership program. She brings a rich understanding of industry problems to her research, which has been published in top-tier journals including Marketing Science, Management Science and the Journal of Marketing Research. She enjoys making analytics accessible to a broad audience and regularly teaches popular tutorials and workshops for practitioners on marketing experiments, marketing analytics in R, and measuring advertising response. At LeBow, she has developed courses in data-driven digital marketing (undergrad), marketing experiments (masters) and Bayesian and causal inference (doctoral). She is co-author of R for Marketing Research and Analytics, which has been translated to Chinese, Japanese and Korean and adapted to Python. She holds a PhD in Marketing from the University of Michigan, an MS in Industrial Engineering from Lehigh University and a BA in Mathematics from University of Pennsylvania.