Paper

Journal of Database Marketing & Customer Strategy Management (2007) 14, 225–235. doi:10.1057/palgrave.dbm.3250050

Customer portfolio management using Z-ranking of customer segments and the LTV perturbation method

Ram Gopalan1

Correspondence: Ram Gopalan, Fox School of Business Temple University 1810, N. 13th Street, Philadelphia, PA 19122, USA. Tel: 001 215 204 7039; e-mail: ram.gopalan@gmail.com

1is a faculty member at the Fox School of Business, Temple University, Philadelphia. His research interests include formulating customer management strategy, calculating ROI on marketing investments and assessing the efficacy of distribution channels.

Received 26 March 2007; Revised 26 March 2007.

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Abstract

Customer lifetime value (LTV) models have long been used to focus direct marketing campaigns by allocating resources to those customers who are deemed to offer the most value to the company. Traditionally, customers are rank-ordered by their lifetime value and more marketing resources are targeted towards the customers with the greatest value. In this paper, a framework for visualising customer segments, called Z-ranking, is developed, along with a method for customer portfolio management, called the Life Time Value Perturbation Technique. Rather than viewing a customer's LTV as a quantity that is immutable, this framework adopts the point of view that the LTV can be perturbed, via application of appropriate customer management strategies. Through a series of 'What-if' scenario analyses, a firm can focus scarce resources on those investments that lead to the greatest increase in the value provided by a customer portfolio. The LTV perturbation technique is further embedded in a four-phase procedure that forms the basis for customer portfolio management, enabling the strategic marketer to continually identify and improve customer management strategies that lead to the greatest impact on direct marketing performance.

Keywords:

customer portfolio management, lifetime value modelling, marketing optimisation, portfolio simulation, segmentation

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