Counting Your Customers: Who-Are They and What Will They Do Next?
AbstractThis article is concerned with counting and identifying those customers who are still active. The issue is important in at least three settings: monitoring the size and growth rate of a firm's ongoing customer base, evaluating a new product's success based on the pattern of trial and repeat purchases, and targeting a subgroup of customers for advertising and promotions. We develop a model based on the number and timing of the customers' previous transactions. This approach allows computation of the probability that any particular customer is still active. Several numerical examples are used to illustrate applications of the model.
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Bibliographic InfoArticle provided by INFORMS in its journal Management Science.
Volume (Year): 33 (1987)
Issue (Month): 1 (January)
marketing; consumer behavior; poisson process; probability mixture models; new product introductions; market segmentation; brokerage firms;
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- Wu, Couchen & Chen, Hsiu-Li, 2000. "Counting your customers: Compounding customer's in-store decisions, interpurchase time and repurchasing behavior," European Journal of Operational Research, Elsevier, vol. 127(1), pages 109-119, November.
- Bijmolt, Tammo H.A. & BlÃ¶meke, Eva & Clement, Michel, 2010. "Should they stay or should they go? Reactivation and Termination of Low-Tier Customers: Effects on Satisfaction, Word-of-Mouth, and Purchases," Research Report 10008, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
- Shaohui Ma & Joachim Büschken, 2011. "Counting your customers from an “always a share” perspective," Marketing Letters, Springer, vol. 22(3), pages 243-257, September.
- Singh, Shweta & Murthi, B.P.S. & Steffes, Erin, 2013. "Developing a measure of risk adjusted revenue (RAR) in credit cards market: Implications for customer relationship management," European Journal of Operational Research, Elsevier, vol. 224(2), pages 425-434.
- Audzeyeva, Alena & Summers, Barbara & Schenk-Hoppé, Klaus Reiner, 2012. "Forecasting customer behaviour in a multi-service financial organisation: A profitability perspective," International Journal of Forecasting, Elsevier, vol. 28(2), pages 507-518.
- Bruhn, Manfred & Georgi, Dominik & Hadwich, Karsten, 2008. "Customer equity management as formative second-order construct," Journal of Business Research, Elsevier, vol. 61(12), pages 1292-1301, December.
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