Counting your customers from an "always a share" perspective

Marketing Letters

Volumn 22, Issue 3, 2011, Pages 243-257

  Ma, Shaohui ^a   Büschken, Joachim ^b  

^a JIANGSU UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b CATHOLIC UNIVERSITY OF EICHSTÄTT INGOLSTADT   (Germany)

Author keywords

BG NBD; Customer attrition; Customer base analysis; Interrupted Poisson Process; Pareto NBD

Indexed keywords

EID: 80052271348     PISSN: 09230645     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11002-010-9123-0     Document Type: Article

References (22)

1. Abe, M. (2009). Counting your customers one by one: a hierarchical bayes extension to the Pareto/NBD model. Marketing Science, 28(3), 541-553.
2. Fader, P. S., Hardie, B. G. S., & Lee, K. L. (2005a). "Counting your customers" the easy way: an alternative to the Pareto/NBD model. Marketing Science, 24(2), 275-284.
3. Fader, P. S., Hardie, B. G. S., & Lee, K. L. (2005b). RFM and CLV: using Iso-value curves for customer base analysis. Journal of Marketing Research, 42(4), 415-30.
4. Fader, P. S., & Hardie, B. G. S. (2009). Probability models for customer-base analysis. Journal of Interactive Marketing, 23(1), 61-69.
5. Gilks, W. R., Richardson, S., & Spiegelhalter, D. J. (1996). Markov Chain Monte Carlo in Practice. Boca Raton: Chapman & Hall.
6. Glady, N., Baesens, B., & Croux, C. (2009). A modified Pareto/NBD approach for predicting customer lifetime value. Expert Systems with Applications, 36(2), 2062-2071.
7. Hastings, W. K. (1970). Monte Carlo sampling methods using Markov chains and their applications. Biometrika, 57(1), 97-109.
8. Ho, T.-H., Park, Y.-H., & Zhou, Y.-P. (2006). Incorporating satisfaction into customer value analysis: optimal investment in lifetime value. Marketing Science, 25(3), 260-277.
9. Jain, D., & Singh, S. (2002). Customer lifetime value research in marketing: a review and future directions. Journal of Interactive Marketing, 16(2), 34-46.
10. Jerath, K., Fader, P. S., Hardie, B. G. S. (2010). New perspectives on customer "Death" using a generalization of the Pareto/NBD Model. Marketing Science. doi: 10. 1287/mksc. 1100. 0568.
11. Ma, S. H., & Liu, J. L. (2007). The MCMC approach for solving the Pareto/NBD model and possible extensions. Proc. Third Internet Conf. Natural Computation (Vol. 2, pp. 505-512). Washington, DC: IEEE.
12. Metropolis, N., Rosenbluth, A. W., Rosenbluth, M. N., Teller, A. H., & Teller, E. (1953). Equations of state calculations by fast computing machines. Journal of Chemical Physics, 21(6), 1087-1092.
13. Netzer, O., Lattin, J. M., & Srinivasan, V. (2008). A hidden Markov model of customer relationship dynamics. Marketing Science, 27(2), 185-204.
14. Reinartz, W., & Kumar, V. (2000). On the profitability of long-life customers in a non-contractual setting: an empirical investigation and implications for marketing. Journal of Marketing, 64(4), 17-35.
15. Reinartz, W., & Kumar, V. (2003). The impact of customer relationship characteristics on profitable lifetime duration. Journal of Marketing, 67(1), 77-99.
16. Ross, S. M. (2000). Introduction to Probability Models (7th ed.). San Diego: Academic.
17. Rossi, P. E., Allenby, G. M., & McCulloch, R. (2005). Bayesian Statistics and Marketing. Chichester: Wiley.
18. Rust, R. T., Lemon, K. N., & Zeithaml, V. A. (2004). Return on marketing: using customer equity to focus marketing strategy. Journal of Marketing, 68(1), 109-127.
19. Schmittlein, D. C., Morrison, D. G., & Colombo, R. (1987). Counting your customers: who are they and what will they do next? Management Science, 33(1), 1-24.
20. Schmittlein, D. C., & Peterson, R. A. (1994). Customer base analysis: an industrial purchase process application. Marketing Science, 13(1), 41-67.
21. Scott, S. L. (1998). Bayesian Methods and Extensions to the Two State Markov Modulated Poisson Process. Ph. D. Thesis, Harvard University, USA.
22. Schweidel, D. A., Bradlow, E. T., Fader, P. S. (2009). Portfolio dynamics for customers of a multi-service provider. Working Paper, University of Wisconsin-Madison School of Business.