Designing the Best Currency for Your Loyalty Program
Evert de Boer () and
Xiao Yao Chin ()
Additional contact information
Evert de Boer: Managing Partner, On Point Loyalty
Xiao Yao Chin: Partner, On Point Loyalty
Chapter Chapter 2 in Loyalty Programs and the Currency Effect, 2025, pp 21-47 from Springer
Abstract:
Abstract In Chapter 1 , de Boer and Chin introduced the currency effect: the gains offered by optimal use of loyalty program currencies. In this chapter, the authors provide guidance around the various parameters linked to selecting the right currency design. How should you award points? And what type of points should you award: with a transparent value or with an opaque value? Also, should your currency be weak or strong? And what are the rules you should consider (how much to give and how much to charge)? Offering a highly utile currency is inextricably linked to a well-balanced accrual structure and the long-term success of a loyalty program. The authors explore how to design and evaluate different accrual options and identify designs that best pursue the greatest currency effect. They also discuss the pros and cons of a cashback currency compared to an opaque currency.
Keywords: Loyalty program; Loyalty program design; Loyalty points; Cashback programs; Accrual; Redemption (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-78849-9_2
Ordering information: This item can be ordered from
http://www.springer.com/9783031788499
DOI: 10.1007/978-3-031-78849-9_2
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().