A Customer Lifetime Value Framework for Customer Selection and Resource Allocation Strategy

Rajkumar Venkatesan,

1. School of Business, University of Connecticut

Assistant Professor in Marketing1V. Kumar

2. ING Center for Financial Services, School of Business, University of Connecticut

ING Chair Professor in Marketing and Executive Director2



Abstract

The authors evaluate the usefulness of customer lifetime value (CLV) as a metric for customer selection and marketing resource allocation by developing a dynamic framework that enables managers to maintain or improve customer relationships proactively through marketing contacts across various channels and to maximize CLV simultaneously. The authors show that marketing contacts across various channels influence CLV nonlinearly. Customers who are selected on the basis of their lifetime value provide higher profits in future periods than do customers selected on the basis of several other customer-based metrics. The analyses suggest that there is potential for improved profits when managers design resource allocation rules that maximize CLV. Managers can use the authors’ framework to allocate marketing resources efficiently across customers and channels of communication.

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