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Cited by 257

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Marketing Actions and the Value of Customer Assets: A Framework for Customer Asset Management

Open access
Berger, Paul D., Bolton, Ruth N., Bowman, Douglas, Briggs, Elten, Kumar, V., Parasuraman, A., Terry, Creed·2002·Journal of Service Research

Abstract

This article develops a framework for assessing how marketing actions affect customers’lifetime value to the firm. The framework is organized around four critical actions that firms must take to effectively manage the asset value of the customer base: database creation, market segmentation, forecasting customer purchase behavior, and resource allocation. In this framework, customer lifetime value is treated as a dynamic construct, that is, it influences the eventual allocation of marketing resources but is also influenced by that allocation. By viewing customers as assets and systematically managing these assets, a firm can identify the most appropriate marketing actions to acquire, maintain, and enhance customer assets and thereby maximize financial returns. The article discusses in detail how to assess customer lifetime value and manage customers as assets. Then, it identifies key research challenges in studying customer asset management and the managerial challenges associated with implementing effective customer asset management practices.

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Registry

Crossref · 10.1177/1094670502005001005

Cites

7 of 7 references verified0 citation errors · 0 not checkable

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Metadata

Authors
Berger, P. D., Bolton, R. N., Bowman, D., Briggs, E., Kumar, V., Parasuraman, A., & Terry, C.
Venue
Journal of Service Research
Published
2002-08
Volume
5
Issue
1
Pages
39-54
ISSN
  • 1094-6705 (ISSN-L)
  • 1552-7379
OpenAlex
W2172173851
Cited by
257
References
7
FWCI
48.78
Type
journal article
Language
en
Open access
green

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Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.