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Algorithms using survival and tobit to determine customer lifetime value using structural euation modeling to determine customer loyalty usingperceptual mapping to find out how view brands Author Mike Grigsby addresses the complexitiesmapping to find out how customers view brands Author Mike Grigsby addresses the complexities customer analytics and offers conceptual support to steer retail marketers towards making the right choices for data analysis. Mindset through elasticity modeling and Strategies As Well As strategies as well as marketing and loyalty It also covers regression and factor analysis using ordinary
regression to estimate demand and value marcomm using poisson regression to explain number of transactionsto estimate demand and value marcomm using poisson regression to explain number of transactions number of purchases using survival analysis to determine when customers will buy general segmentation . ,
Providing a clear guide to the specific analytical challenges faced by the retail sector Advanced
Customer Analytics covers the nature and scale of data obtained in transactionsAnalytics covers the nature and scale of data obtained in transactions proximity to the consumer and the need to
MONITOR CUSTOMER BEHAVIOR ACROSS MULTIPLE CHANNELS THEcustomer behavior across multiple channels The
"advocates a category "a category approach taking into account the need to understand the consumer.
Mike Grigsby