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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...
Persistent link: https://www.econbiz.de/10009356631
Several researchers have proposed models of buyer behavior in noncontractual settings that assume that customers are “alive” for some period of time and then become permanently inactive. The best-known such model is the Pareto/NBD, which assumes that customer attrition (dropout or...
Persistent link: https://www.econbiz.de/10014026006
The Tuscan Lifestyles case (Mason 2003) offers a simple twist on the standard view of how to value a newly acquired customer, highlighting how standard retention-based approaches to the calculation of expected CLV are useless in a noncontractual setting. Using the data presented in the case, it...
Persistent link: https://www.econbiz.de/10012713198
The Tuscan Lifestyles case (Mason 2003) offers a simple twist on the standard view of how to value a newly acquired customer, highlighting how standard retention-based approaches to the calculation of expected CLV are not applicable in a noncontractual setting. Using the data presented in the...
Persistent link: https://www.econbiz.de/10009441311
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Stand-alone marketing models are well-suited to deal with different behavioral features such as variation in transaction frequency (customer heterogeneity with latent classes), recency and attrition (“buy ‘till you die” models), and more general changes in customer transaction rates...
Persistent link: https://www.econbiz.de/10009356633
There has been significant recent interest in studying consumer behavior in sponsored search advertising (SSA). Researchers have typically used daily data from search engines containing measures such as average bid, average ad position, total impressions, clicks and cost for each keyword in the...
Persistent link: https://www.econbiz.de/10009376790
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In today's turbulent business environment, customer retention presents a significant challenge for many service companies. Academics have generated a large body of research that addresses part of that challenge – with a particular focus on predicting customer churn. However, several other...
Persistent link: https://www.econbiz.de/10011756788