Decoding Customer–Firm Relationships: How Attachment Styles Help Explain Customers' Preferences for Closeness, Repurchase Intentions, and Changes in Relationship Breadth

Many firms strive to create relationships with customers, but not all customers are motivated to build close commercial relationships. This article introduces a theoretical framework that explains how relationshipspecific attachment styles account for customers' distinct preferences for closene...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of marketing research 2013-02, Vol.50 (1), p.125-142
Hauptverfasser: MENDE, MARTIN, BOLTON, RUTH N., BITNER, MARY JO
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Many firms strive to create relationships with customers, but not all customers are motivated to build close commercial relationships. This article introduces a theoretical framework that explains how relationshipspecific attachment styles account for customers' distinct preferences for closeness and how both attachment styles and preferences for closeness influence loyalty. The authors test their predictions with survey data from 1199 insurance customers and three years of purchase records for 975 of these customers. They find that attachment styles predict customers' preferences for closeness better than established marketing variables do. Moreover, attachment styles and preferences for closeness influence loyalty intentions and behavior, controlling for established antecedents (e.g., relationship quality). Finally, exploring the underlying process, the authors show that preference for closeness partially mediates the effect of attachment styles on cross-buying behavior. This research provides novel customer segmentation criteria and actionable guidelines that managers can use to improve their ability to tailor relationship marketing activities and more effectively allocate resources to match customer preferences.
ISSN:0022-2437
1547-7193
DOI:10.1509/jmr.10.0072