Abstract
This paper considers the metric of customer lifetime value as a way of placing an expected future value on a company’s customers. This approach looks at the fundamental contribution a customer makes to a company’s profits. The basic concept is useful in its own right, but it also allows an analogue between a customer and the equity of the company to be drawn. This allows the customer to be considered as a revenue-producing asset. Financial engineering tools, such as portfolio and options theory, then become natural means to analyse the customer’s value further. In particular, the uncertainty in the future profits created by a customer can be shown to create an added dimension to the value a customer brings to the business. The results from these analyses can be used to guide customer relationship strategy. Better decisions on the levels of investments in customers and customer services, and their timings, can also be made.
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References
Reichheld F: ‘Loyalty Rules! How Leaders Build Lasting Relationships’, Harvard Business School Press (2003).
Soderlund M and Vilgon M: ‘Customer Satisfaction and Links to Customer Profitability: An Empirical Examination of the Assocation Between Attitudes and Behavior’, SSE/EFI Working Paper Series in Business Administration No 1, Stockholm School of Economics (1999).
Reinartz W J and Kumar V: ‘On the Profitability of Long-Life Customers in a Noncontractual Setting: An Empirical Investigation and Implications for Marketing’, Journal of Marketing, 64, No4, pp 17–19 (2000).
BearingPoint Inc — http://www.bearingpoint.com/
Howell R A and Soucy S R: ‘Customer profitability: as critical as product profitability’, Management Accounting, pp 43–47 (October 1990).
Peppers D and Rogers M: ‘Maximise Your Return on Customer’, 1to1 Magazine (February 2004).
Markowitz H: ‘Portfolio Selection: efficient diversification of investment’, Wiley (1959).
Dhar R and Glazer R: ‘Hedging Customers’, Harvard Bus Rev, (May 2003).
Collings D, Adjali I, Reeder A A, Crocker P and Lyons M H: ‘Agent-based modelling — treating customers as individuals not numbers’, BT Technol J, 18, No1, pp 33–34 (January 2000).
Plott C R and Chen K-Y: ‘Information Aggregation Mechanisms: Concept, Design and Implementation for a Sales Forecasting Problem’, California Institute of Technology, Social Science Working Paper 1131 (2002).
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Collings, D., Baxter, N. Valuing customers. BT Technol J 23, 24–29 (2005). https://doi.org/10.1007/s10550-005-0027-0
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DOI: https://doi.org/10.1007/s10550-005-0027-0