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Cited by 1,490

The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.

Understanding the Effect of Customer Relationship Management Efforts on Customer Retention and Customer Share Development

Verhoef, Peter C.·2003·Journal of Marketing

Abstract

Scholars have questioned the effectiveness of several customer relationship management strategies. The author investigates the differential effects of customer relationship perceptions and relationship marketing instruments on customer retention and customer share development over time. Customer relationship perceptions are considered evaluations of relationship strength and a supplier's offerings, and customer share development is the change in customer share between two periods. The results show that affective commitment and loyalty programs that provide economic incentives positively affect both customer retention and customer share development, whereas direct mailings influence customer share development. However, the effect of these variables is rather small. The results also indicate that firms can use the same strategies to affect both customer retention and customer share development.

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Metadata

Authors
Verhoef, P. C.
Venue
Journal of Marketing
Published
2003-10
Volume
67
Issue
4
Pages
30-45
ISSN
  • 0022-2429 (ISSN-L)
  • 1547-7185
OpenAlex
W2099043863
Cited by
1,490
References
20
FWCI
63.83
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Understanding the Effect of Customer Relationship Management Efforts on Customer Retention and Customer Share Development. https://app.cochat.ai/papers/10.1509/jmkg.67.4.30.18685
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Verhoef, P. C. (2003). Understanding the Effect of Customer Relationship Management Efforts on Customer Retention and Customer Share Development. Journal of Marketing. https://doi.org/10.1509/jmkg.67.4.30.18685

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.