This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Choice Models and Customer Relationship Management

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Wagner Kamakura ()
Carl Mela
Asim Ansari
Anand Bodapati
Pete Fader
Raghuram Iyengar
Prasad Naik
Scott Neslin
Baohong Sun
Peter Verhoef
Michel Wedel
Ron Wilcox

Additional information is available for the following registered author(s):

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

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://hdl.handle.net/10.1007/s11002-005-5892-2
File Format: text/html
File Function:
Download Restriction: Access to full text is restricted to subscribers.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Publisher Info
Article provided by Springer in its journal Marketing Letters.

Volume (Year): 16 (2005)
Issue (Month): 3 (December)
Pages: 279-291
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:kap:mktlet:v:16:y:2005:i:3:p:279-291

Contact details of provider:
Web page: http://www.springerlink.com/link.asp?id=100312

For technical questions regarding this item, or to correct its listing, contact: (Christopher F. Baum).

Related research
Keywords: customer relationship management; direct marketing;

Other versions of this item:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. 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. [Downloadable!] (restricted)
  2. Praveen K. Kopalle & Scott A. Neslin, 2003. "The Economic Viability of Frequency Reward Programs in a Strategic Competitive Environment," Review of Marketing Science, Berkeley Electronic Press, vol. 1(1). [Downloadable!]
  3. Bolton, R.N. & Lemo, K.N. & Verhoef, P.C., 2002. "The Theoretical Underpinnings of Customer Asset Management," Research Paper ERS-2002-80-MKT Revision_, 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 Uni. [Downloadable!]
  4. 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. [Downloadable!] (restricted)
Full references

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Bas Donkers & Peter Verhoef & Martijn Jong, 2007. "Modeling CLV: A test of competing models in the insurance industry," Quantitative Marketing and Economics, Springer, vol. 5(2), pages 163-190, June. [Downloadable!] (restricted)
  2. Sander Triest & Maurice Bun & Erik Raaij & Maarten Vernooij, 2009. "The impact of customer-specific marketing expenses on customer retention and customer profitability," Marketing Letters, Springer, vol. 20(2), pages 125-138, June. [Downloadable!] (restricted)
Statistics
Access and download statistics

Did you know? It is the publishers that input data about their publications, as there is no staff at RePEc.

This page was last updated on 2009-12-5.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.