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Michael Braun


Michael Braun

Associate Professor


Fincher 309


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MAST 6201 - Managerial Statistics (MBA)
MKTG 6201 - Marketing Management (MBA)
MAST 6252 - Applied Predictive Analytics II (MSBA)


Customer loyalty and retention, Estimating customer lifetime value, Advertising targeting and response, Bayesian methods for marketing research, Computation for customer analytics 


Michael Braun and Paul Damien. “Scalable Rejection Sampling for Bayesian Hierarchical Models.” Marketing Science, published in Articles in Advance, 2015.

Michael Braun, David A. Schweidel, and Eli M. Stein. “Transaction Attributes and Customer Valuation.” Journal of Marketing Research, forthcoming Dec., 2015.

Michael Braun and Wendy W. Moe. “Online Display Advertising: Modeling the Effects of Multiple Creatives and Individual Impression Histories.” Marketing Science, 32(5): 753–767, Sept. 2013.

Michael Braun and David A. Schweidel. “Modeling Customer Lifetimes with Multiple Causes of Churn.” Marketing Science, 30(5):881–902, Oct. 2011.

Michael Braun and André Bonfrer. “Scalable Inference of Customer Similarities from Interactions Data using Dirichlet Processes.” Marketing Science, 30(3):513–531, May 2011. 


Michael Braun, Associate Professor of Marketing at the Cox School of Business, comes to SMU in 2013 after seven years on the faculty of the MIT Sloan School of Management. The core of his research is the statistical analysis of large and complex customer databases. He has written on, spoken on, and taught about management topics such as sales forecasting, customer retention and valuation, marketing ROI, social networking models, segmentation and targeting strategies, online advertising and insurance decisions. Professor Braun’s work has been published in top academic publications such as Marketing Science, Management Science, and the Journal of the American Statistical Association, and he is a member of the Marketing Science Editorial Review Board. He has held several leadership positions for the American Statistical Association's Section on Statistics and Marketing, including Section Chair in 2011 and Program Chair in 2009, 2013 and 2015. In addition, he is the author of four software packages for the R statistical computing language.

Professor Braun’s teaching interests are to train the next generation of business leaders on how to analyze, interpret and use marketing data to address real-world managerial problems. He takes a hands-on approach with his classes, believing that managers cannot effectively act on the volumes of customer data that they collect, unless they master a foundational set of quantitative, statistical tools. He teaches the core Marketing Management and Managerial Statistics courses in the full-time and professional M.B.A. programs, as well as Predictive Analytics in the M.S. in Business Analytics program.

Michael Braun earned his Ph.D. from the Wharton School of the University of Pennsylvania. He holds an A.B. with Honors in Economics from Princeton University, and an M.B.A. from the Fuqua School of Business at Duke University. Before entering academia, he worked on the development and deployment of broadband Internet products for such companies as Comcast, Marcus Cable and Charter Communications. From 1999 to 2002, he was Vice President for Global Affiliate Operations of Chello Broadband, the Amsterdam-based Internet arm of United Pan-Europe Communications. He also worked as a production assistant at ESPN, and as a researcher for NBC at the 1992 Summer Olympics in Barcelona.