Abstract
Loyalty programs (LPs) are critical CRM tools used to identify, reward, and successfully retain profitable customers. This chapter gives a deeper introduction into the strategic use of this tool by presenting several industry examples. In two parts, it deals with the design and the effectiveness of LPs. Initially, this chapter details the objectives and design of various loyalty programs, along with several LP failures that highlight the elements and determinants of a successful program. By reviewing several of these LP characteristics, this chapter offers a systematic investigation of the outcomes and determinants of LP success, as well as guidelines for designing optimal programs. The key dimensions of LP design, including reward and sponsorship, also are explained in detail and illustrated with relevant case studies. Then in the second part of the chapter, the discussion of the effectiveness of loyalty programs introduces four key drivers of effectiveness and details their influence schematically. Empirical evidence about the performance of LPs across various industry segments also illustrates the success factors, leading into explanations of how firms can create competitive advantages by operating effective loyalty programs and focusing on value alignment. Finally, a seven-point checklist sums up the most important prerequisites for successful design and implementation of loyalty programs.
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Notes
- 1.
Interview with Carlos Criado-Perez, CEO Safeway (UK), on BBC News (May 4, 2000).
- 2.
Interview with Richard Gaines, Retail Consultant with Mintel Research UK (Spring 2001).
- 3.
Based on a conversion rate of 1 Euro = 1.305 USD, as of February 1, 2005.
- 4.
Based on 1 British Pound = 1.7 USD, as of November 25, 2003.
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Appendix I. Key Studies of LPs with Notable Empirical Findings
Appendix I. Key Studies of LPs with Notable Empirical Findings
No. | Organization details | Industry | Findings |
---|---|---|---|
1 | Six partner companies of the FlyBuy program in Australia | General retail | LP has hardly any effect on repeat purchase patterns (behavioral loyalty) (Bolto et al., 2000) |
2 | Credit card firms (single firms) in three European countries | Credit cards | LP members are more likely to overlook negative experiences with the focal company |
LP members have higher usage levels and higher retention (Deighton/Shoemaker, 2000) | |||
3 | Single firm | Hospitality | 20% of member stays are because of LP |
Strategy of using LP as a value alignment tool is successful | |||
LP is profitable (Crié et al., 2000) | |||
4 | — | Grocery industry in France | Being a LP member does not modify purchase behavior |
Events and promotions associated with LP seem to have clear effects on purchase | |||
The effects of LP are mostly short rather than long term. Thus, they seem to work as promotional tools rather than a means to induce loyalty (Reinartz/Kumar, 2003) | |||
5 | U.S. direct marketing firm | General merchandise | LP membership is associated with the longer duration of customer–firm relationships |
No information on cost-efficiency (Rajiv, 2001) | |||
6 | — | U.S. grocery industry | LP is operationalized as a shocker program (e.g., turkey bucks), not a traditional long-term card program, so it can better be described as a long promotion There is significant increase in spending (market basket) |
LPs seem to affect “cherry-pickers” most | |||
Program is profitable (Meyer-Waarden/Benavent, 2001) | |||
7 | — | Cross-sector sample of 7 LPs | LPs are classified according to their objectives and characteristics |
The two main purposes of LPs are customer heterogeneity management or creating switching costs (behavioral loyalty) | |||
8 | — | U. S. grocery | LP increases sales through “point pressure” (short-term) and “rewarded behavior” (long-term) (Taylor/Neslin, 2005) |
9 | — | Coffee and music on Internet | LP induces purchase acceleration through the progress toward a goal (Kivetz et al., 2006) |
10 | Spanish supermarket chain | Grocery | LP members are more behavioral and affectively loyal than other participants |
Few customers change purchase behavior after joining the program (García Gómez et al., 2006) | |||
11 | Convenience store chain | Retailing | Positive influence of LP on consumers’ purchase frequency and transaction size holds only for light and moderate buyers (Liu, 2007) |
12 | — | Airline industry | Only high-share firms experienced sales lifts from their loyalty programs |
Because high-share firms tend to possess complementary product and customer resources, they are more likely to gain from their loyalty programs than firms with a smaller market share (Liu/Yang, 2009) | |||
13 | Albert Heijn, Super de Boer, Edah, Integro, Konmar, COOP, Jan Linders | Dutch supermarket industry | Small positive, yet significant effect of loyalty program membership on share-of-wallet |
In terms of profitability, each program generates more additional revenues than additional costs in terms of saving and discount rewards (Leenheer et al., 2007) | |||
14 | — | Grocery industry | Customers satisfied with the rewards of LPs are more loyal to the store and allocate a higher proportion of their budget and patronage frequency to the store than unsatisfied customers (Demoulina/Ziddab, 2008) |
15 | Health and beauty provider | Retailing | LP was a significant predictor of store loyalty, in support of the contention that loyalty programs are capable of engendering loyalty (Bridson et al., 2008) |
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Kumar, V., Reinartz, W. (2012). Loyalty Programs: Design and Effectiveness. In: Customer Relationship Management. Springer Texts in Business and Economics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20110-3_10
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