Repeated Binary Logit: Analysing Variation in Behavioural Loyalty

Gilles Laurent and Cam Rungie
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Gilles Laurent: HEC Paris - Recherche - Hors Laboratoire - HEC Paris - Ecole des Hautes Etudes Commerciales
Cam Rungie: School of Marketing - University of South Australia

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Abstract: Brand and store managers are anxious to obtain high "loyalty," as operationalized by repeat purchase behaviour. In this paper, we introduce the Repeated Binary Logit (RBL) model, which analyses directly the impact of covariates on repeat purchase, and which can be described as an extension of traditional logistic regression. We present empirical applications of RBL, and we discuss its relationships to several classical models.

Keywords: Brand choice; Buyer behaviour; Choice models; Data mining; Marketing research; Segmentation (search for similar items in EconPapers)
Date: 2005
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Citations: View citations in EconPapers (2)

Published in Australasian Marketing Journal, 2005, 13 (2), pp.27-36. ⟨10.1016/S1441-3582(05)70075-6⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-00818687

DOI: 10.1016/S1441-3582(05)70075-6

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