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We address a critical question that many firms are facing in this era of "big data'': Can customer data be stored and analyzed in an easy-to-manage and scalable manner without significantly compromising the inferences that can be made about the customers' transaction activity? We address this...
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Today's managers are very interested in predicting the future purchasing patterns of their customers, which can then serve as an input into lifetime value calculations. Among the models that provide such capabilities, the Pareto/NBD Counting Your Customers framework proposed by Schmittlein,...
Persistent link: https://www.econbiz.de/10014070186
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Many businesses track repeat transactions on a discrete-time basis. These include: (1) companies where transactions can only occur at fixed regular intervals, (2) firms that frequently associate transactions with specific events (e.g., a charity that records whether or not supporters respond to...
Persistent link: https://www.econbiz.de/10012713793