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Relationship Quality and Customer Retention through Strategic Communication of Customer Skills

Hennig-Thurau, Thorsten·2000·Journal of Marketing Management

Abstract

This article discusses the idea of a strategic communication of customer skills - a rather neglected relationship marketing strategy. This idea is based on an interpretation of the customer as the company's partner in the value production process. Customer skills are defined as the total of all product-related knowledge and skills of relevance to any aspect of the customer's post-purchase behaviour (e.g. the ability to use the full range of product features). The author assesses whether communicating customer skills strategically may lead to an increase in perceived relationship quality and customer retention as key variables in relationship marketing. Several hypotheses regarding the interrelations between an increase in customer skills and relationship quality are drawn out from a conceptualisation of both constructs. The validity of these hypotheses is then tested empirically using a structural equation modelling approach for two products, i.e. video recorders and reflex cameras. Results give strong support to the relevance of skills communication for relationship marketing success.

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Metadata

Authors
Hennig-Thurau, T.
Venue
Journal of Marketing Management
Published
2000-02
Volume
16
Issue
1-3
Pages
55-79
ISSN
  • 0267-257X (ISSN-L)
  • 1472-1376
OpenAlex
W2073776912
Cited by
202
References
0
FWCI
4.43
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Relationship Quality and Customer Retention through Strategic Communication of Customer Skills. https://app.cochat.ai/papers/10.1362/026725700785100497
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Hennig-Thurau, T. (2000). Relationship Quality and Customer Retention through Strategic Communication of Customer Skills. Journal of Marketing Management. https://doi.org/10.1362/026725700785100497

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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.