About: Loyalty program is a research topic. Over the lifetime, 708 publications have been published within this topic receiving 19706 citations. The topic is also known as: bonus card & loyalty card.
TL;DR: In this paper, the conditions under which a loyalty rewards program will have a positive effect on customer evaluations, behavior, and repeat purchase intentions were investigated in a worldwide financial services company that offers a loyalty reward program.
Abstract: Companies that offer loyalty reward programs believe that their programs have a long-run positive effect on customer evaluations and behavior. However, if loyalty rewards programs increase relationship durations and usage levels, customers will be increasingly exposed to the complete spectrum of service experiences, including experiences that may cause customers to switch to another service provider. Using cross-sectional, time-series data from a worldwide financial services company that offers a loyalty reward program, this article investigates the conditions under which a loyalty rewards program will have a positive effect on customer evaluations, behavior, and repeat purchase intentions. The results show that members in the loyalty reward program overlook or discount negative evaluations of the company vis-a-vis competion. One possible reason could be that members of the loyalty rewards program perceive that they are getting better quality and service for their price or, in other words, “good value.”
TL;DR: In this paper, Dowling and Uncles posit that the schemes do not fundamentally alter market structure and, instead, increase market expenditures without really creating any extra brand loyalty, and suggest ways to design an effective program, such as (1) ensuring that it enhances the value proposition of the product or service; (2) fully costing the program; (3) maximizing the buyer's motivation to purchase again; and (4) considering the market conditions when planning.
Abstract: A company that initiates a customer loyalty program usually wants to retain existing customers, maintain sales levels and profits, increase the potential value of existing customers, and encourage customers to buy its other products as well. But, based on a review of behavioral loyalty research, Dowling and Uncles posit that the schemes do not fundamentally alter market structure and, instead, increase market expenditures without really creating any extra brand loyalty. Research shows that only about 10 percent of buyers for many types of frequently purchased consumer goods are 100 percent loyal to a particular brand over a one-year period. And consumers do not buy only one brand; for example, surveys of European business airline travelers show that more than 80 percent are members of more than one frequent flyer program.
For any loyalty program to be effective, say the authors, it must leverage the value of the product to the customer. Therefore, the program must have: (1) a direct or indirect effect, such as the General Motors rebate scheme that builds up savings toward a new car, or gasoline companies' incentives of free air travel; (2) a perception of value, such as cash, a range of choice, aspirations of exotic free travel, or the likely achievement of rewards; and (3) timing -- when rewards are available. The more delayed the reward, the less powerful.
Does it cost less to serve loyal customers? Are they less price sensitive? Do they recommend products to others? Not really, say the authors. The contention that loyal customers are always more profitable is a gross simplification. Dowling and Uncles suggest ways to design an effective program, such as (1) ensuring that it enhances the value proposition of the product or service; (2) fully costing the program; (3) maximizing the buyer's motivation to purchase again; and (4) considering the market conditions when planning.
TL;DR: In this paper, a large scale loyalty program is evaluated in terms of its ability to change normal repeat-purchase patterns by generating "excess loyalty" for brands in the program.
TL;DR: In this article, the authors investigate how reward schemes of a loyalty program influence perceived value of the program and how value perception of the loyalty program affects customer loyalty, and they show that involvement moderates the effects of loyalty programs on customer loyalty.
Abstract: The authors investigate how reward schemes of a loyalty program influence perceived value of the program and how value perception of the loyalty program affects customer loyalty. The results show that involvement moderates the effects of loyalty programs on customer loyalty. In high-involvement situations, direct rewards are preferable to indirect rewards. In low-involvement situations, immediate rewards are more effective in building a program's value than delayed rewards. Under high-involvement conditions, value perception of the loyalty program influences brand loyalty both directly and indirectly through program loyalty. Under low-involvement conditions, there is no direct effect of value perception on brand loyalty.
TL;DR: In this article, the authors present a system for implementing a loyalty program on a network-wide level, which associates UPC and SKU data to reward consumers and analyze the data for a variety of business purposes, such as market segmentation analyses and/or analyses relating to consumer spending behaviors or patterns.
Abstract: The present invention provides a system for implementing a loyalty program on a network-wide level. The system associates UPC and SKU data on a network level to reward consumers and/or to analyze the data for a variety of business purposes, such as market segmentation analyses and/or analyses relating to consumer spending behaviors or patterns for example. In accordance with one aspect of the invention, the association of UPC and SKU data by the system facilitates implementation of an incentive or loyalty program by providing a universal rewards currency. This universal rewards currency may be “spent” by participants who have earned rewards and accepted by the other participants in the multi-tiered network created by the system. The network may comprise any number of participants, including consumers, retailers (and any of their employees), manufacturers, third-party providers, and the like. In accordance with another aspect of the invention, the association of UPC and SKU data by the system facilitates data analysis on a network level based upon several factors, including a consumer ID, consumer profile, retailer ID, SKU number, UPC, manufacturer ID, and/or the like. The system may compile any of the above data across multiple entities for the purpose of data analysis, such as analyses which may be employed in strategic planning and marketing for example.