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MKTG 366 Customer Analytics 4.0 Credits

Customer analytics is about applying (often simple) models to understand and predict customer behavior. Firms have access to more information about their customers than ever before. But data alone should not be confused for knowledge. The role of the model is to summarize patterns and generate predictions of customer behavior in the future. We will use simple models from probability theory and stochastic processes as a lens through which to view customer behavior.

College/Department: LeBow College of Business
Repeat Status: Not repeatable for credit
Prerequisites: STAT 201 [Min Grade: C-] or STAT 205 [Min Grade: C-]

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