E–pub Download [Advanced Customer Analytics] Ó Mike Grigsby


Advanced Customer Analytics

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Algorithms using survival and tobit to determine customer lifetime value using structural euation modeling to determine customer loyalty using perceptual mapping to find out how view brands Author Mike Grigsby addresses the complexities mapping 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 transactions to 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 transactions Analytics covers the nature and scale of data obtained in transactions proximity to the consumer and the need to MONITOR CUSTOMER BEHAVIOR ACROSS MULTIPLE CHANNELS THE customer behavior across multiple channels The
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a category approach taking into account the need to understand the consumer.