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Choice Models and Customer Relationship Management

Author

Listed:
  • Wagner Kamakura
  • Carl Mela
  • Asim Ansari
  • Anand Bodapati
  • Pete Fader
  • Raghuram Iyengar
  • Prasad Naik
  • Scott Neslin
  • Baohong Sun
  • Peter Verhoef
  • Michel Wedel
  • Ron Wilcox

Abstract

Customer relationship management (CRM) typically involves tracking individual customer behavior over time, and using this knowledge to configure solutions precisely tailored to the customers' and vendors' needs. In the context of choice, this implies designing longitudinal models of choice over the breadth of the firm's products and using them prescriptively to increase the revenues from customers over their lifecycle. Several factors have recently contributed to the rise in the use of CRM in the marketplace A shift in focus in many organizations, towards increasing the share of requirements among their current customers rather than fighting for new customers. An explosion in data acquired about customers, through the integration of internal databases and acquisition of external syndicated data. Computing power is increasing exponentially. Software and tools are being developed to exploit these data and computers, bringing the analytical tools to the decision maker, rather than restricting their access to analysts. In spite of this growth in marketing practice, CRM research in academia remains nascent. This paper provides a framework for CRM research and describes recent advances as well as key research opportunities. See http://faculty.fuqua.duke.edu/~mela for a more complete version of this paper Copyright Springer Science + Business Media, Inc. 2005

Suggested Citation

  • Wagner Kamakura & Carl Mela & Asim Ansari & Anand Bodapati & Pete Fader & Raghuram Iyengar & Prasad Naik & Scott Neslin & Baohong Sun & Peter Verhoef & Michel Wedel & Ron Wilcox, 2005. "Choice Models and Customer Relationship Management," Marketing Letters, Springer, vol. 16(3), pages 279-291, December.
    • Handle: RePEc:kap:mktlet:v:16:y:2005:i:3:p:279-291
    DOI: 10.1007/s11002-005-5892-2
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    1. Bolton, R.N. & Lemo, K.N. & Verhoef, P.C., 2002. "The Theoretical Underpinnings of Customer Asset Management," ERIM Report Series Research in Management ERS-2002-80-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    2. Kopalle Praveen K & Neslin Scott A, 2003. "The Economic Viability of Frequency Reward Programs in a Strategic Competitive Environment," Review of Marketing Science, De Gruyter, vol. 1(1), pages 1-41, August.
    3. S. Balasubramanian & S. Gupta & W. Kamakura & M. Wedel, 1998. "Modeling large data sets in marketing," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 52(3), pages 303-323, November.
    4. Ran Kivetz, 2003. "The Effects of Effort and Intrinsic Motivation on Risky Choice," Marketing Science, INFORMS, vol. 22(4), pages 477-502, December.
    5. Wagner A. Kamakura & Michel Wedel, 2003. "List augmentation with model based multiple imputation: a case study using a mixed‐outcome factor model," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 57(1), pages 46-57, February.
    6. Eric T. Anderson & Duncan I. Simester, 2004. "Long-Run Effects of Promotion Depth on New Versus Established Customers: Three Field Studies," Marketing Science, INFORMS, vol. 23(1), pages 4-20, February.
    7. Rajiv Lal & David Bell, 2003. "The Impact of Frequent Shopper Programs in Grocery Retailing," Quantitative Marketing and Economics (QME), Springer, vol. 1(2), pages 179-202, June.
    8. King, Gary & Zeng, Langche, 2001. "Logistic Regression in Rare Events Data," Political Analysis, Cambridge University Press, vol. 9(2), pages 137-163, January.
    9. Gabriel R. Bitran & Susana V. Mondschein, 1996. "Mailing Decisions in the Catalog Sales Industry," Management Science, INFORMS, vol. 42(9), pages 1364-1381, September.
    10. Füsun Gönül & Meng Ze Shi, 1998. "Optimal Mailing of Catalogs: A New Methodology Using Estimable Structural Dynamic Programming Models," Management Science, INFORMS, vol. 44(9), pages 1249-1262, September.
    11. Prasad A. Naik & Chih-Ling Tsai, 2005. "Constrained Inverse Regression for Incorporating Prior Information," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 204-211, March.
    12. David C. Schmittlein & Donald G. Morrison & Richard Colombo, 1987. "Counting Your Customers: Who-Are They and What Will They Do Next?," Management Science, INFORMS, vol. 33(1), pages 1-24, January.
    13. Naik, Prasad A. & Tsai, Chih-Ling, 2004. "Isotonic single-index model for high-dimensional database marketing," Computational Statistics & Data Analysis, Elsevier, vol. 47(4), pages 775-790, November.
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