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Statistical Methods in Customer Relationship Management
book

Statistical Methods in Customer Relationship Management

by V. Kumar, J. Andrew Petersen
September 2012
Intermediate to advanced
286 pages
8h 7m
English
Wiley
Content preview from Statistical Methods in Customer Relationship Management

3.5 Firm's Performance (LTV, CLV, and CE)

Making customer acquisition selection decisions on the basis of the response probability, initial order quantity, and duration is not enough. Companies should select prospects to acquire based on their lifetime contribution, which can be termed as LTV, CLV, or CE. Hansotia and Wang [5] in the last scenario of their studies considered that prospects' LTV varied due to their profiles and the promotion packages they received. These authors modeled the present value of revenue (PVR) and estimated LTV by subtracting the present value of cost of goods and the estimated marketing and operation costs for that customer. A common issue that occurs in the estimation of CLV is that observations may be right-censored. Some of the customers may have already lapsed in the observation period while others may still use the product or service beyond the observation period. Estimating the lifetime value of the customers who are still active over the observation period by OLS regression may underestimate their lifetime contribution to the companies. Hansotia and Wang [5] used the Tobit model to estimate the PVR for customers. The Tobit model assumes that there is a latent variable img which linearly depends on img via a vector of parameters . And there is a normally ...

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Publisher Resources

ISBN: 9781118349199Purchase book