Skip to main content

Applications of CRM in B2B and B2C Scenarios (Part I)

  • Chapter
  • First Online:
Customer Relationship Management

Part of the book series: Springer Texts in Business and Economics

  • 16k Accesses

Abstract

This chapter defines the concept of Customer Lifetime Value (CLV) and provides an approach to compute CLV. In simple terms, CLV refers to the net present value of future cash flows from a customer. Using a numerical example, this chapter provides the approach and formula to compute CLV. It also discusses the various drivers that can maximize CLV for both B2B and B2C firms. Further, the chapter discusses some of the proven strategies to maximize customer profitability. First, the chapter discusses the relationship between customer lifetime with the firm and the resulting profitability. Based on this relationship, this chapter discusses a model that can be used to measure the lifetime values of customers when they share a noncontractual relationship with the firm (i.e., a relationship in which customers are not bound by contracts). Second, a model for incorporating customers’ projected profitability into lifetime duration computation is discussed. This model builds on the idea and approach discussed in the first model. Finally, a model for identifying the true value of a lost customer is also discussed.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

References

  • Bendapudi, N., & Berry, L. L. (1997). Customers’ motivations for maintaining relationships with service providers. Journal of Retailing, 73(1), 15–37.

    Article  Google Scholar 

  • Berry, L. (1995). Relationship marketing of services growing interest, emerging perspectives. Journal of the Academy of Marketing Sciences, 23(4), 236–45.

    Article  Google Scholar 

  • Bolton, R. N. (1998). A dynamic model of the duration of the customer’s relationship with a continuous service provider: The role of satisfaction. Marketing Science, 7(Fall), 17–23.

    Google Scholar 

  • Clark, G. L., Kaminski, P. F., & Rink, D. R. (1992). Consumer complaints: Advice on companies should respond based on an empirical study. Journal of Consumer Marketing, 9(3), 5–14.

    Article  Google Scholar 

  • Direct Marketing Association. (2007). Direct marketing expenditures account for 50% of total advertising expenditures, DMA’s 2007 ‘Power of Direct Marketing’ report unveils. DMA: Direct marketing association; conferences, seminars, research & articles. Retrieved October 16, 2007, from http://www.the-dma.org/cgi/disppressrelease?article=1015

  • Direct Marketing Association. (2009). What is the direct marketing association? DMA: Direct marketing association; conferences, seminars, research & articles. Retrieved July 26, 2011, from http://www.the-dma.org/aboutdma/whatisthedma.shtml

  • Dowling, G. R., & Uncles, M. (1997). Do customer loyalty programs really work? Sloan Management Review, 38(4), 78–82.

    Google Scholar 

  • Dwyer, F. R. (1997). Customer lifetime valuation to support marketing decision making. Journal of Direct Marketing, 11(4), 6–13.

    Article  Google Scholar 

  • Helsen, K., & Schmittlein, D. C. (1993). Analyzing duration times in marketing: Evidence for the effectiveness of hazard rate models. Marketing Science, 11(4), 395–414.

    Article  Google Scholar 

  • Hirschman, A. O. (1970). Exit loyalty and voice. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Hogan, J. E., Lemon, K. N., & Libai, B. (2003). What is the ‘true value of a lost customer? Journal of Service Research, 5(3), 196–208.

    Article  Google Scholar 

  • Kesler, L. (1985, October 17). Steak company welcomes customers’ grilling. Advertising Age, 36(7).

    Google Scholar 

  • Kumar, V. (2008a). Managing customers for profit: Strategies to increase profits and build loyalty. Upper Saddle River, NJ: Wharton School.

    Google Scholar 

  • Kumar, V. (2007) “Customer Lifetime Value: The Path to Profitability”, NOW Publishers, Inc., The Netherlands.

    Google Scholar 

  • Kumar, V., & Karande, K. (2000). The effect of retail store environment on retailer performance. Journal of Business Research, 49(2), 167–181.

    Article  Google Scholar 

  • Kumar, V., & Ramani, G. (2003–2004). Taking CLV analysis to the next level: A multistep approach to better understanding customer value. Journal of Integrated Communications, 2004, 27–33.

    Google Scholar 

  • Kumar, V., Shah, D., & Venkatesan, R. (2006). Managing retailer profitability: One customer at a time! Journal of Retailing, 82(4), 277–294.

    Article  Google Scholar 

  • Kumar, V., Venkatesan, R., Bohling, T. R., & Beckmann, D. (2008). The power of CLV: Managing customer lifetime value at IBM. Marketing Science, 27(4), 585–599.

    Article  Google Scholar 

  • Li, S. (1995). Survival analysis. Marketing Research, 7(Fall), 17–23.

    Google Scholar 

  • Quick, R., (2000, April 18). New study finds hope for internet retailers. Wall Street Journal, A2.

    Google Scholar 

  • Reichheld, F. F., & Sasser, W. E. (1990). Zero defections: Quality comes to services. Harvard Business Review, 68(5), 105–111.

    Google Scholar 

  • Reichheld, F. F., & Teal, T. (1996). The loyalty effect. Boston: Harvard Business School Press.

    Google Scholar 

  • 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), 17–32.

    Article  Google Scholar 

  • Reinartz, W., & Kumar, V. (2002). The mismanagement of customer loyalty. Harvard Business Review, 80(7), 86–94.

    Google Scholar 

  • Reinartz, W., & Kumar, V. (2003). The impact of customer relationship characteristics on profitable lifetime duration. Journal of Marketing, 67(1), 77–99.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Schmittlein, D. C., & Peterson, R. A. (1994). Customer base analysis: An industrial purchase process application. Marketing Science, 13(1), 41–67.

    Article  Google Scholar 

  • Sheth, J. N., & Parvatiyar, A. (1995). Relationship in consumer markets: Antecedents and consequences. Journal of the Academy of Marketing Science, 23(4), 255–271.

    Article  Google Scholar 

  • Valentino-Devries, J. (2011, April 14). With catalogs, opt-out policies vary. The Wall Street Journal, Web. Accessed on July 26, 2011. Accessed at http://online.wsj.com/article/SB10001424052748703841904576256750393074920.html

  • Venkatesan, R., & Kumar, V. (2004a). A customer life time value framework for customer selection and optimal resource allocation strategy. Journal of Marketing, 68(4), 106–125.

    Article  Google Scholar 

  • Venkatesan, R., & Kumar, V. (2004b). A customer lifetime value framework for customer selection and resource allocation strategy. Journal of Marketing, 68(4), 106–125.

    Article  Google Scholar 

  • Wyner, G. A. (1999). Customer relationship measurement. Marketing Research: A Magazine of Management and Applications, 11(2), 39–41.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to V. Kumar .

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Kumar, V., Reinartz, W. (2012). Applications of CRM in B2B and B2C Scenarios (Part I). In: Customer Relationship Management. Springer Texts in Business and Economics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20110-3_15

Download citation

Publish with us

Policies and ethics