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Segmentation and Lifetime Value

(Elective Course)

Segmentation and Lifetime Value covers quantitative models for identifying, understanding and valuing customers and their behaviors. Topics include understanding different types of customer data and analyzing data from relational databases.

You will learn specific skills in data preparation and market segmentation methods, including cluster analysis, latent class analysis and predictive "scoring" models, such as regression and tree-based approaches. The course also covers lifetime value models based on geometric distribution, Markov chains and survival analysis. 

Student Advisory Notes: The management of IMC disciplines demands a rich understanding in statistical and research methods. If your work experience has not required this understanding, you are strongly encouraged to take this course early in the program, and if possible, without other courses in the quarter in which you take it. If you have any additional questions, please contact your academic advisor, Nate Daigle.