Designing competitive loyalty programs: How types of program affect customer equity

Asnan Furinto, Teddy Pawitra, T. Ezni Balqiah

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)

Abstract

Loyalty programs are one of the most popular marketing strategies developed by firms across a broad range of industries. Despite the prevalence of these programs, there is only a limited amount of research that focuses on the stage before program implementation. The main purpose of this study is to formulate a theory of designing ex ante competitive loyalty programs, and subsequently to provide supporting empirical evidence. The author argues that loyalty programs could be classified into two types: monetary-based rewards and special treatment-based rewards. The author proposes a theory that posits that customer perceptions of the utility of loyalty programs differ between the two types of reward, and are contingent upon the relationship between the customer and the firm. Programs that are perceived favorably by customers will in turn create stronger attitudinal loyalty and higher customer profitability. Using settings of airline passengers and bank customers, the results of the research produce findings that monetary rewards are perceived to provide higher utility perceptions of customers in contractual relationships as compared to non-contractual relationships. However, this research failed to provide empirical support that special treatment rewards are perceived to provide higher utility perceptions of customers in non-contractual relationships compared to contractual ones. The research also models consumer switching using the Markov Chain, and reveals that higher program utility perception is associated with higher attitudinal loyalty, thereby increasing customer equity. Firms are encouraged to incorporate affective elements into their loyalty programs, additional to monetary elements.

Original languageEnglish
Pages (from-to)307-319
Number of pages13
JournalJournal of Targeting, Measurement and Analysis for Marketing
Volume17
Issue number4
DOIs
Publication statusPublished - 1 Dec 2009

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