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Cited by 383

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

A Longitudinal Examination of Net Promoter and Firm Revenue Growth

Keiningham, Timothy L., Cooil, Bruce, Andreassen, Tor Wallin, Aksoy, Lerzan·2007·Journal of Marketing

Abstract

Managers have widely embraced and adopted the Net Promoter metric, which noted loyalty consultant Frederick Reichheld advocates as the single most reliable indicator of firm growth compared with other loyalty metrics, such as customer satisfaction and retention. Recently, however, there has been considerable debate about whether this metric is truly superior. This article (1) employs longitudinal data from 21 firms and 15,500-plus interviews from the Norwegian Customer Satisfaction Barometer to replicate the analyses used in Net Promoter research and (2) compares Reichheld and colleagues' findings with the American Customer Satisfaction Index. Using industries Reichheld cites as exemplars of Net Promoter, the research fails to replicate his assertions regarding the “clear superiority” of Net Promoter compared with other measures in those industries.

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Metadata

Authors
Keiningham, T. L., Cooil, B., Andreassen, T. W., & Aksoy, L.
Venue
Journal of Marketing
Published
2007-07
Volume
71
Issue
3
Pages
39-51
ISSN
  • 0022-2429 (ISSN-L)
  • 1547-7185
OpenAlex
W2155963213
Cited by
383
References
5
FWCI
21.79
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Longitudinal Examination of Net Promoter and Firm Revenue Growth. https://app.cochat.ai/papers/10.1509/jmkg.71.3.039
The paper
Keiningham, T. L., Cooil, B., Andreassen, T. W., & Aksoy, L. (2007). A Longitudinal Examination of Net Promoter and Firm Revenue Growth. Journal of Marketing. https://doi.org/10.1509/jmkg.71.3.039

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.