Professor Bodapati's research is at the intersection of consumer psychology, decision-making, statistics, marketing and computer science. His interests lie in the development of statistical models, methodologies, decision support systems to address marketing problems in value creation, value communication, customer acquisition, customer development, customer retention and the assessment of customer response to marketing. He has worked on customer acquisition targeting, product optimization, consumer preference assessment, conjoint analysis, segmentation, advertising response, direct marketing, customer relationship management, Bayesian statistics and experimental design. Professor Bodapati's domain-specific interested are in advertising, retailing, direct-marketing, digital marketing, and social marketing for health and public policy.
Bodapati's papers have appeared in the Journal of Marketing Research, Journal of Business and Economics Statistics, Marketing Letters and the Journal of Interactive Marketing. He was awarded the American Marketing Association's Paul Green Award twice. He is a recipient also of the American Marketing Association's Lehmann Award and a finalist for the O'Dell Award for his work on recommendation systems. Bodapati was a founding member of the editorial board of the Direct Marketing Association's Journal of Interactive Marketing and serves on the editorial board of Marketing Science.
At UCLA Anderson, Professor Bodapati teaches courses on "Digital Marketing Analytics, "Customer Analytics" and "Customer Insights and Market Research". Bodapati has also developed algorithms for marketing technology companies such as Experian, Convertro and Bliss Point Media.
Ph.D. Business, Stanford University
M.S. Statistics, Stanford University
S.B. Mathematics and Computer Science, Massachusetts Institute of Technology
S.B. Management Science and Cognitive Psychology, Massachusetts Institute of Technology