Undervalued or Overvalued Customers: Capturing Total Customer Engagement Value

Author:

Kumar V.1,Aksoy Lerzan2,Donkers Bas3,Venkatesan Rajkumar4,Wiesel Thorsten5,Tillmanns Sebastian6

Affiliation:

1. J. Mack Robinson College of Business, Georgia State University, Atlanta, GA, USA,

2. Schools of Business Administration, Fordham University, New York, NY, USA

3. Department of Marketing, Erasmus School of Economics, Erasmus University Rotterdam, Netherlands

4. Darden School, University of Virginia, Charlottesville, VA, USA

5. Department of Marketing, Faculty of Economics, University of Groningen, Netherlands

6. Institute of Marketing, University of Münster, Münster, Germany

Abstract

Customers can interact with and create value for firms in a variety of ways. This article proposes that assessing the value of customers based solely upon their transactions with a firm may not be sufficient, and valuing this engagement correctly is crucial in avoiding undervaluation and overvaluation of customers. We propose four components of a customer’s engagement value (CEV) with a firm. The first component is customer lifetime value (the customer’s purchase behavior), the second is customer referral value (as it relates to incentivized referral of new customers), the third is customer influencer value (which includes the customer’s behavior to influence other customers, that is increasing acquisition, retention, and share of wallet through word of mouth of existing customers as well as prospects), and the fourth is customer knowledge value (the value added to the firm by feedback from the customer). CEV provides a comprehensive framework that can ultimately lead to more efficient marketing strategies that enable higher long-term contribution from the customer. Metrics to measure CEV, future research propositions regarding relationships between the four components of CEV are proposed and marketing strategies that can leverage these relationships suggested.

Publisher

SAGE Publications

Subject

Organizational Behavior and Human Resource Management,Sociology and Political Science,Information Systems

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