Eric Bradlow is an expert in marketing research methods, including survey techniques such as conjoint analysis, and statistical methods such as machine learning and Bayesian analysis. Professor Bradlow develops robust statistical models and data analytics to address a variety of complex business challenges, from internet search engines to product assortment issues.
In addition to serving as chairperson of the Wharton School’s Marketing Department, Professor Bradlow is Vice Dean of Analytics. He cofounded Wharton Customer Analytics, an initiative that focuses on the development and application of customer analytics methods. Prior to joining Wharton, Professor Bradlow worked at DuPont Corporation’s Corporate Marketing and Business Research Division and in the Statistics and Psychometrics Research Group of the Educational Testing Service. He is a fellow of the American Statistical Association, the INFORMS Society of Marketing Science, and the American Educational Research Association.
As a testifying expert, Professor Bradlow has been retained on multiple matters, providing statistical and economic damages analyses and addressing issues relating to consumer perception and decision-making. He has consulted to automotive, technology, and consumer goods companies, using a range of marketing research techniques such as survey design, conjoint analysis, statistical forecasting methods and their implementation.
A prolific scholar, Professor Bradlow has published over one hundred articles in leading academic journals, including the Journal of the American Statistical Association, Marketing Science, Management Science, and the Journal of Marketing Research. He serves on the editorial boards of several academic journals, and is a former editor-in-chief of Marketing Science.
At Wharton, Professor Bradlow teaches courses in statistics, marketing research, marketing management, data analysis, and customer analytics. He has won numerous honors for his academic research and his teaching, including the Lindback Award for Distinguished PhD Teaching and Mentoring, and many best paper awards.