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.
To retain customers, many firms focus on increasing customer satisfaction levels. And the degree of customer satisfaction is a key measure. But the extent to which customer satisfaction leads to loyalty and thus profitability remains an important issue to be examined. Traditionally, customer satisfaction has been expected to increase retention or loyalty, thus leading to greater profits, as we introduced in ► Chap. 2. Although customer satisfaction and loyalty are key mediators of profit, they cannot be taken as simple predictors of it. From a business standpoint, it is more important to identify and nurture relationships specifically with profitable customers.
This is where loyalty programs come in. Loyalty programs (LP) represent an important CRM tool that can identify, reward, and successfully retain profitable customers. We discuss the objectives and design of various loyalty programs in ► Sects. 10.1, 10.2, 10.3, 10.4 and 10.5. We also illustrate LP failures to offer insights into what distinguishes a successful program from unsuccessful ones. By reviewing LP characteristics, we also can systematically investigate outcomes and determinants of LP success and provide guidelines for designing optimal programs. The key dimensions of LP design, such as reward and sponsorship, are explained in detail and illustrated using relevant case studies.
The second part of this chapter then deals with the effectiveness of loyalty programs. In the past two decades, many firms have established some type of customer LP. Typically, these programs offer financial and/or relationship rewards to customers. In most cases, the aim is to increase sales revenue by increasing usage/purchase levels or engaging in up- and cross-selling. Loyalty programs also promise stronger relationships with customers. But they are not costless for the provider. Before any firm establishes an LP, it must ask: What is the cost effectiveness of this program? What differentiates an effective LP from an ineffective one? What key drivers ensure the effectiveness of loyalty programs? Understanding goals and design characteristics are critical means to develop and implement effective loyalty programs. It is equally, if not more, important to understand and monitor the features that make an LP effective; we suggest four such drivers. Therefore, after we present some empirical evidence about the performance of LPs across various industry segments, we use two case studies to reveal how firms can create competitive advantages through loyalty programs that are geared to attaining profits and value alignment. With this information, we derive a seven-point checklist for the successful design and implementation of loyalty programs.
1 What Is Loyalty? Behavioral Versus Attitudinal Loyalty
Loyal customers generate more repeat business, develop a larger tolerance to price increases, and are more profitable to the firm. This conventional wisdom has long been accepted, but as we have shown, it is not always true. A very loyal customer may consume an inordinate amount of firm resources by demanding services and discounts. But marketers want to locate and entice new customers who are profitable, while also finding appropriate strategies to identify and possibly release unprofitable customers.
In ► Chap. 1, we noted the concept of customer value, defined as the economic value ($-metric) of the customer relationship to the firm, expressed as a contribution margin or net profit. As a marketing metric, customer value provides an important decision aid, beyond its capability to evaluate marketing effectiveness. A firm can both measure and optimize its marketing efforts by incorporating the concept of customer value in the core of its decision-making processes.
Although customer loyalty to a product or service, manifested as repeat purchases, may be due to natural satisfaction and preference for the products’ features and benefits, loyalty also can be induced through marketing plans and programs. For example, wireless cellular phone service requires a 1–2-year contractual relationship with the customer – an indirect way of ensuring repetitive and profitable transactions for a predictable period of time.
Whether contractual or motivated through incentives, the success or failure of a LP depends ultimately on the profitability of the customer. The longevity of the relationship also does not automatically translate into tangible profitability. Rather, various customer loyalty programs work to identify, reward, and retain specifically profitable customers.
Before reviewing the structure of these various loyalty programs, it is important to understand the significant difference between behavioral and attitudinal loyalty. Broadly speaking, behavioral loyalty refers to the observed actions that customers have demonstrated toward a particular product or service. Attitudinal loyalty instead refers to a customer’s perceptions and attitudes toward a particular product or service. Ideally, there should be a strong correlation between a customers’ attitudes and behaviors, though in some instances, customer behaviors differ radically from their attitudinal perceptions about the product or service.
2 What Is a Loyalty Program? Definition and Key Objectives
In recent years, many companies have introduced loyalty programs (LPs), frequent reward programs, customer magazines, online communities and blogs, or customer clubs (Kreutzer, 2016). An LP comprises a marketing process that generates rewards for customers, based on their repeat purchases or engagement with the brand. As we use it, the term LP subsumes the many different forms of reward programs. Therefore, we recognize that consumers who enter an LP likely transact more with the focal company and give up some of the free choice they possess otherwise. In exchange for concentrating their purchases and relational interactions with the focal firm, they accumulate assets (e.g., points), which they may exchange for products and services, usually those associated with the focal firm. Because of these characteristics, LPs offer an important CRM tool that marketers use to identify, award, and retain profitable customers.
This is not to suggest that they are new additions in the relationship marketer’s toolkit. Sainsbury (UK) archives show that in the 1970s, its managers wrote to customers who had not made their usual shopping trips, in an effort to encourage and maintain their patronage. Later, the store used a Green Stamps initiative, which customers enjoyed, despite the demand that they paste the stamps into many books before receiving any reward (Passingham, 1998).
Overall, the key objectives of introducing LPs consist of four categories:
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Building true (attitudinal and behavioral) loyalty
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Efficiency profits
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Effectiveness profits
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Value alignment
Any loyalty program implemented by a firm may pursue all or only some of these goals at the same time.
2.1 Building True Loyalty
An LP aims to build greater customer commitment to the product or organization by garnering true loyalty, which combines elements of both attitudinal and behavioral loyalty. According to this logic, customers exhibit behavioral loyalty (i.e., purchase a product repeatedly) for several reasons, including convenience or price, as well as a sense of loyalty. Behavioral loyalty may result from attitudinal loyalty, but it can be driven by other factors too.
Furthermore, though many LPs have the goal of «making customers more loyal,» the outcomes of true loyalty – greater commitment, greater word of mouth, and so on – are difficult to observe. Enforcing loyalty by enticing customers with rewards and bonuses is unlikely to create true loyalty, because true loyalty instead is a function of the value provided to customers. It encompasses various factors: Degree of involvement in the product category, visibility of product usage, or the value expressive nature of the product, to name a few. None of these aspects can be controlled by the firm.
Take, for example, a low-involvement category – grocery shopping. Inducing true loyalty for grocery shoppers is a tough proposition, because their purchases are nearly always driven by tangible considerations, such as value for money.
2.2 Efficiency Profits
Efficiency profits result from a change in the customer’s buying behavior, induced by the LP. This change in behavior can be measured in several ways:
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Basket size
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Purchase frequency acceleration
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Price sensitivity
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Share of category requirements (SCR) or share of wallet
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Retention
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Lifetime duration
The most widely used measure of behavioral loyalty is SCR, which describes the extent of purchases in a category that are served by the focal brand or retailer. Efficiency profits are net of LP cost. An LP that attempts to generate efficiency profits works on the assumption that customers build up switching costs when they accumulate loyalty-based assets. This accumulation encourages them to forgo their free choice, because the expected reward makes this reduction appear worthwhile.
There are two key criticisms of this viewpoint. First, for a customer to engage in an LP, the overall utility of being in the LP must be higher than the utility of not being in the LP. The cost for the firm to entice the customer to change behavior accordingly may be higher than it would be without the LP. Carlos Criado-Perez, the one-time CEO of Safeway (1999–2004), thus traded off the benefits: «Scrapping Safeway’s (UK) ABC loyalty card scheme saves it £50 million this year, money that will be invested in cutting prices.»Footnote 1
Second, a goal of efficiency profits implies that the customer segment most likely to join the LP consists of those who are truly loyal anyway, so their business is already likely. In this case, the question arises about whether LPs actually change buying behavior. Perhaps they do not change behavior as much as they reinforce existing behavior, but at a much higher cost to the firm. For example, loyalty cards have been criticized for rewarding heavy spending rather than true loyalty. The segments most interested in these plans tend to be affluent groups who can afford to build up points, even if they hold cards from more than one store.Footnote 2
Yet, despite the difficulty associated with achieving efficiency profits, many LPs are introduced with just this goal in mind. However, the upcoming LP trend to reward customers for their engagement behavior with the brand and not only purchase behavior, fosters attitudinal loyalty.
2.3 Effectiveness Profits
Effectiveness profits refer to the medium- to long-term profit consequences realized through the development of better knowledge about customer preferences. The LP is designed to gather information about individuals, their behavior, and their preferences and then to derive knowledge from this information. This process of learning allows the firm to improve its knowledge of customer preferences and to offer increasingly better-tailored value propositions to various customers. The improvement in the value proposition comes through effective product and communication offerings. Effectiveness profits – more than any other type of LP outcome – are likely to generate sustainable competitive advantages and yield the highest profits in the long run.
2.3.1 Achieving Effectiveness Profits in a Grocery Store
Effectiveness profits require an information-based strategy that gathers and analyzes information about every transaction. For example, in grocery retailing, the system must collect information about every item purchased, down to the color of ink in a pen, along with the time of day, weather, and even the checkout operator’s name. Such data mining can generate personalized promotions and recommendations so that a vegetarian never receives a promotion for steaks. The knowledge that a customer is a vegetarian might come from either surveys or previous buying behavior. If the store’s computer recognizes that a customer never buys meat, it can predict that the customer is a vegetarian, and not that she is buying her meat elsewhere. Although this assumption could be wrong, a store would rather not bother a customer with costly promotions for categories from which that customer has never bought anything. Implementing mobile loyalty programs pushes the information gathering process to a new era, allowing for real-time two-way communication. For example, by using new technologies i.e. «geo-fencing» retailers can identify mobile LP members nearby the store and send personalized promotions to drive store traffic and purchases.
Promotions of new products rely on an ideas list, populated by both new launches and existing products that the data mining algorithms suggest specific customers might desire. For example, if a customer buys a lot of California Chardonnay, the list might suggest that he is likely to try a white Burgundy on special promotion, because it is made from the same grape. Staples or Safeway use their accumulated customers’ knowledge by targeting LP members with digital coupons and personalized deals. The strategy of using an LP to learn about customer preferences thus can result in value, as well as impressive gains, for both customers and organizations. Customers get more of what they truly want; firms avoid costly, mass marketing exercises. However, a learning strategy demands a relatively high process sophistication for its implementation. The collection of massive amounts of data may have grown easier, but analyzing, learning about, and implementing the conclusions obtained is much more difficult. Few companies have mastered this strategic capability to a satisfactory extent.
2.4 Value Alignment
Finally, value alignment aims to match the cost to serve a particular customer with the value that the person brings to the firm. The underlying concept states that for any industry, customers have differential monetary value to firms, and they also are differentially expensive to serve. For example, if a provider of wireless services were to arrange its customers from highest to lowest value, it might discover that its business users generate higher phone bills than casual, occasional users. Likewise, if it were to arrange the same customers according to the costs of serving them, it would find some customers easy to satisfy, whereas others exploit the customer service function constantly. If a firm pursues value alignment, it simply attempts to align the profits it receives from a given customer with the cost incurred to serve that customer. Clearly, not every customer is treated equally – a notion some managers find discomforting. However, this differentiation allows firms to ensure that their best customers get their best service. The goal of value alignment is particularly critical when there is great heterogeneity in customers’ value and costs to serve, such as in the airline, hospitality, or financial services industries.
Example
◘ Figure 10.1 illustrates an example of a firm with a highly heterogeneous customer base. It indicates the profitability of a bank, derived from three very different customer profiles: Tier A represents 31% of the customer base, whereas Tier B makes up 42%, and Tier C makes up the remaining 27% of the customer base. More than one-quarter of these customers are unprofitable and must be subsidized by the highly profitable ones – a condition not uncommon in banks.
If this bank were to institute an LP, it might pursue the four different LP goals. If it chooses a particular goal, how can it achieve that outcome most effectively? Such an assessment requires a more detailed understanding of the impact of the drivers of LP success. That is, to reach the goals of an LP, it seems useful to understand some of their characteristics, including the suitability of the goal, cost structures, challenges involved, and the degree of competitive advantage created, as summarized in ◘ Table 10.1.
3 Loyalty Programs: Increasing in Popularity
Interest in loyalty programs exploded in the late 1990s. Building mainly on the premise that it is cheaper to market to existing customers than to acquire new ones, firms across a multitude of industries raced to implement some form of loyalty schemes. Thus the growth in LP usage has been staggering. In 2012, U.S. loyalty programs exceeded 2.65 billion, increasing by 26.7% since 2010 (Berry, 2013) and the average U.S. household holds 22 loyalty program cards, actively using 10 of those memberships (BCG, 2014).
Some quantitative examples and the summaries attest to this growth:
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In 2015, «PAYBACK», Germany’s largest loyalty program and couponing platform, documented 28 million membership accounts and 10 million mobile app downloads. Eight out of ten Germans know the brand Payback.
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By 2002, there were more than 120 million airline frequent flyers worldwide, with most residing in the United States (74 million), Europe (24 million), and Asia (21 million) (Webflyer, 2011). From 2002 to 2006 the number airline frequent flyers increased by 60 million users worldwide. The 180 users denote 10 trillion outstanding miles (Webflyer, 2016).
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«American Advantage» is the largest frequent flyer program in the world. As of December 2009, its membership rolls boasted more than 64 million members (AMR Corporation, 2009).
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With 56 million members globally, who contribute $6.5 billion in room revenue, IHG’s (InterContinental Hotels Group) «Priority Club» Rewards is one of the first, largest, and fastest growing guest loyalty program in the hotel industry. The program adds 600,000 members monthly and offers points for stays in 4300 hotels in nearly 100 countries worldwide. Members can redeem points for future hotel stays, airline miles on more than 40 partner airlines, car rentals, gift certificates, or hundreds of products available in a rewards catalog (IHG, 2010).
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In the highly competitive U.K. retail industry, Tesco has managed to double its earnings by taking market share from rivals such as Sainsbury’s. Its success has been credited to its popular customer loyalty program, which enables shoppers to earn points and redeem them on future visits or with airlines (ABC, 2003). Tesco gained the position as market leader - with more than 30 percent market share (Ruddick, 2014).
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The French retailer E. Leclerc spends approximately $23.5 million each year for LP marketing and management (Meyer-Waarden, 2007).Footnote 3
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According to VSS Communications Industry Forecast, U.S. companies devoted $2.18 billion to loyalty programs in 2008 (Odell, 2009). Just a few years ago, in 2003, Gartner analyst Adam Sarner declared that U.S. companies spent more than $1.2 billion on customer loyalty programs (Young & Stepanek, 2003). This enormous growth reflects the great popularity of loyalty programs.
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After changing the loyalty program in 2015 the Wyndham Hotel Group denotes 7 million people joining the reward program, which reflects an increase of 17 percent in membership. LP members receive a reward bonus of 13.6 percent on their spending level (McCartney, 2016).
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Amazon developed as the gold standard in ecommerce. With its loyalty program Amazon Prime the online retailer provides valuable benefits to its consumer by delivering the products fast and free. Besides these major benefits, Amazon offers a range of benefits such as streaming services of movies and music, cloud services, and early access to selected deals. In turn these customers drive benefits to the company as well. A prime customer spends 150 percent more on Amazon after becoming prime member (Tuttle, 2013).
The most well-known examples of loyalty programs remain frequent flyer programs. American Airlines was the first, establishing its «Advantage» program in 1981. During the 1990s, supermarket chains and general merchandise retailers followed suit and established loyalty programs, such as the «Carte de Fidélité» program offered by the French retail chain Carrefour or the «Club-Card» at Tesco. The latest form of loyalty programs involves point collection schemes initiated by third parties (e.g., Webmiles, PAYBACK), where users collect points across a network of member companies. The collection procedure is facilitated by mobile LP applications, which provide additional features (i.e., payment function, digital coupons) enhancing the LP’s value for the customer.
Although LPs have become immensely popular, it is far from clear whether they actually help firms engender greater customer loyalty and higher profits, partly because of the considerable cost associated with managing an LP, and partly because their management can be so complex.
3.1 Examples of Loyalty Programs
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Frequent buyer programs: The simplest initiatives are based on punch-cards that offer a free complimentary product. City Bagels, a sandwich retail chain, offers customers a tenth sandwich free, after they garner nine stamps from previous purchases. The purpose is to increase both sandwich consumption and customer retention. Stores such as BigY, Kroger, and CVS offer discounts on certain store merchandise to cardholders, to ensure their loyalty and retention.
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Volkswagen Club and Card: The Volkswagen Club and Card concept attempts to establish a direct relationship with end customers. Customers collect points when Volkswagen (VW) services their car or if they buy VW accessories, as well as from partners, such as car rental companies and tour operators. The points can be redeemed for dealer services, price reductions on car purchases, or catalog merchandise. The purpose is to establish a better communication between VW dealers and customers, to bind them more closely to the brand.
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Star Alliance Frequent Flyer Program: The Star Alliance is a group of 28 airlines across all continents that cross-list flights, share facilities, and recognize their respective frequent flyer programs. Any flight on any Star Alliance airline counts toward a member’s frequent flyer program. With more than 1300 airports in 190 countries worldwide, the Star Alliance has become one of the largest airline network in the world.
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Starbucks Rewards Plus: Starbucks revolutionized how customers interact with companies by integrating the LP into a mobile application, customer can find stores nearby, pay for their purchases and collect bonus points for their purchases and store visits. The transactions made by the mobile app account for more than 20 percent (PYMNTS, 2016).
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Payback: Germany’s largest loyalty program and couponing platform, introduced the mobile payment app. The app is not only a digital loyalty card, but its payment function generates additional value for Payback cardholders by higher transactional convenience level. The app has been downloaded by 8.5 million members and generates 3.5 million transactions per day (Fuchs, 2016).
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Neiman Marcus: A luxury retailer based in Dallas, Texas, Neiman Marcus offers its «InCircle» LP to all its customers. Using a shopping card, customers accumulate points that can be redeemed for exclusive rewards.
4 Problems with Loyalty Programs
Although LPs have become widespread and popular, the benefits are not always clear. On the one side, many companies, such as ANZ Bank, invest millions of dollars into this CRM tool, only to find that it sucks up great resources without any obvious return. On the other side, according to Hlavinka & Sullivan (2011) 85 percent of customers that joined a loyalty program have not been contacted by the company anymore. From consumer perspective, the length of time and amount of points needed for reward redemption is one of the reasons to abandon loyalty programs (Bond Loyalty Report, 2016).
Examples such as this may mark the beginning of a trend, in which large corporations that have spent millions of marketing dollars on LPs closely evaluate their costs and tailor reward programs more accurately to achieve better profitability.
Most companies need to revisit their business model, not only to reflect on the impact of loyalty programs on their bottom line, but also to determine how customer service initiatives add value and ensure future revenue streams. For some companies, this reassessment leads to the decision to eliminate any further investments in loyalty programs.
The LP test run by the U.K. chain ASDA Supermarkets (purchased by Walmart in 1999) cost £8 million in 1 year. The company chose not to invest in a full rollout, which would have cost £60 million (Direct Marketing, 2011). According to a spokesperson for ASDA, «We decided we didn’t have to invest in points and plastic to make our customers loyal.» And this assessment seems accurate: At the time it tested its pilot LP, ASDA’s market share was 17.2%. A year later, it had risen to 17.6%.
Safeway terminated its LP in April 2000, which saved the company approximately $85 million in annual LP costs.Footnote 4 This chain’s rationale was that «People have lost interest in (loyalty card) points and don’t think they give value. What they really appreciate are straightforward product offers at great prices,» according to the CEO Carlos Criado-Perez in May 2000.
A few years ago, Continental Airlines downgraded its liberal upgrading policy because it was too expensive. The company estimated a $100 million loss in revenue from upset frequent flyers. A class action suit also followed. What initially was designed to be a customer LP turned out to be a disappointing failure.
Despite their immense popularity, the aspects that distinguish a successful LP from an unsuccessful one remain unclear. Our discussion in the next section therefore reviews several LP characteristics to investigate the outcomes and determinants of LP success systematically, and thus to provide guidelines for designing optimal programs.
5 Design Characteristics of Loyalty Programs
The multitudes of LPs attest to the various discretionary choices that arise for designers of such programs. Furthermore, LPs differ substantially both within and across industries. Managers can exercise discretion regarding the composition and the choice of dimensions to include in their LP design, as well as the corresponding weights assigned to each dimension. In this sense, we characterize LPs along the following key dimensions, which must be defined when designing a program:
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Reward mechanism
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Reward structure
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Hard versus soft rewards
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Product proposition support (choice of rewards)
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Aspirational value of reward
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Rate of rewards
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Tiering of rewards
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Timing of rewards
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Rewards based on specific criteria
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Participation requirements
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Voluntary or automatic enrollment
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Open versus closed LP
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Automatic or manual point accumulation
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Payment function
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Sponsorship (existence of partner network, network externalities)
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Single versus multiform LP
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Within- versus across-sector LP
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Ownership (focal firm versus other firm)
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Cost and revenues of LPs
5.1 Reward Mechanism: Transaction-Based Versus Engagement-Based
Reward mechanisms induce consumers to actively engage with the brand. Predominantly, reward mechanisms are transaction-based awarding consumers for purchases. However, with the increase of the digital transformation consumers receive rewards based on their engagement-behavior. Engagement-based rewarding does not require the consumer to finalize a transaction, but award the consumer due to his engagement in writing reviews, downloading the mobile LP app, communicating in social media, or in-store check-ins (Taylor, Buvat, Nambiar, Singh, & Radhakrishnan, 2015). For example, Walgreens introduced «Balance Rewards», incentivizing consumers for connecting Walgreens mobile app with a digital health tracker. For each healthy lifestyle activity loyalty program members are awarded points. Lancôme rewards is customers not only for their purchases, but also for connecting with Lancôme and sharing content.
5.2 Reward Structure
The principal motivation for consumers to enroll in LPs is to accrue benefits from rewards from their purchase transactions over time. From a consumer’s perspective, the rewards attained through an LP membership are the key design benefit.
5.2.1 Hard Versus Soft Rewards
Financial or tangible rewards (hard) differ from those based on psychological or emotional benefits (soft). Hard rewards run the gamut from price reductions to promotions and free products to preferred treatment. For example, a member of KLM’s «Flying Dutchman» frequent flyer program may receive a free airline ticket for travel within Europe after collecting 20,000 miles – a hard reward. Soft rewards instead are linked to special recognition of the buyer, which offers the psychological benefit of being treated in a special way or having special status. For example, many frequent travelers with Silver or Gold status consider their membership in the category something special (often called the badge effect). Of course, the psychological recognition of loyalty status often comes with tangible benefits, such as preferred customer service (e.g., special service phone number).
5.2.2 Product Proposition Support
The rewards from a loyalty program may be linked to the company’s product offering or be entirely unrelated. The U.S. bagel franchise Finagle-A-Bagel operates an LP that allows participants to redeem their accumulated bonus points only for the firm’s own products – sandwiches and drinks. The reward thus directly supports the firm’s product proposition. Other LPs allow members to redeem points for products completely unrelated to the focal firm’s offering, such as BP’s program, in which users can redeem points earned from gasoline-related purchases for merchandise such as first-aid kits, coffee mugs, or Barbie dolls.
5.2.3 Aspirational Value of Reward
From time to time, consumers engage in hedonic consumption of products that are mainly associated with pleasure and fun. Research in consumer psychology reveals that consumers prefer hedonic goods rather than utilitarian ones when receiving a gift. Consumers indulge more easily in luxury consumption when they get «something for nothing,» as in the case of a gift or LP reward. A free flight to an exotic destination thus might be worth more to a buyer (at least perceptually) than vouchers for the local supermarket, even if they have the same face value. Companies try to differentiate their LPs by highlighting the inspirational or hedonic value of their rewards. For example, the Marriott hotel rewards its loyal customers by offering a wide array of cultural events to choose from. LP members can be rewarded by receiving tickets for the top Broadway shows. Mercedes-Benz’s LP makes it possible to transform points into a flight in a MIG 29 combat aircraft. The luxury retailer Neiman Marcus catalogs a list of «wow and cool» rewards each year – such as having a world-famous photographer visit the customer’s home to take family pictures.
5.2.4 Rate of Rewards
The rate of rewards refers to the ratio of reward value to transaction volume (both in monetary terms). In other words, it tells you how much a consumer gets in return for concentrating his or her purchases. Consumers prefer higher reward rates, but reward redemptions are a key cost factor for firms that run LPs. Rate of rewards is one of the, if not the primary, drivers of LP enrollment and active usage.
5.2.5 Tiering of Rewards
Rewards follow an asset accumulation response function, which describes how assets or rewards get accumulated as a function of spending behavior. Tiered rewards programs might follow constant, hierarchical, offer-related, or cyclical functions. With constant rewards, customers receive enduring, stable incentives (See case 1, ◘ Fig. 10.2), but hierarchical or graded rewards increase with greater spending levels (case 2). In the case of offer-related assets, customers receive rewards that are exclusive to a particular special offer, such as PAYBACK’s 10-times points coupons that can be used only during a specific time period. Finally, cyclical rewards encourage a certain consistency in behavior, such as when LP providers use special occasions such as Christmas or the customer’s birthday to express appreciation in the form of a reward.
◘ Figure 10.2 depicts two different response functions. In case 1 on the left, the buyer receives the same amount of rewards per dollar spent regardless of spending level. In case 2 on the right, the buyer receives more rewards per dollar spent as his or her spending level increases. The program in case 2 thus is relatively more attractive for high spenders; many airline programs, as well as Bloomingdale’s, follow this pattern.
5.2.6 Timing of Rewards
The timing of reward redemption is an important design feature. It is more attractive for the firm to create redemption rules that favor long accumulation periods, to ensure customer retention over time. This effect is also called lock-in. Customers build up assets over time, which function as switching costs for them. Customers instead favor immediate rewards or short accumulation periods. Managers must determine how long it takes to accumulate assets for a representative reward, given a certain buying pattern (e.g., average interpurchase time). The timing of rewards should be determined by the minimum redemption rules, type of reward given, and reward rate. The longer it takes to build up a certain reward level, the greater the breakage, or the amount of rewards never redeemed.
5.2.7 Rewards Based on Specific Criteria
Rewards can be designed to fit certain parameters, such as the time period, person, categories/brands, and distribution channels. When rewards refer to a specific time period, retailers pursue two main goals: generating additional revenue and increasing sales during weak sales periods. Offering rewards targeted to a specific group of card holders, such as customers whose last transaction was long ago, can help to activate «sleeping» customers. Furthermore, some companies tie rewards to specific categories, brands, or distribution channels to boost sales in these areas.
5.3 Participation Requirements
Another important characteristic of LPs are the requirements for becoming a member and the way points get collected.
5.3.1 Voluntary or Automatic Enrollment
When designing a loyalty program, companies must choose between voluntary and automatic enrollment. With automatic enrollment, the company deliberately enrolls all of its customers in the LP without differentiation. Voluntary programs are more common, because they allow consumers to self-select if they want to join. However, automatic enrollment is an appealing option if the company wants to track all consumers’ transaction data (e.g., banks, credit cards).
5.3.2 Open Versus Closed Loyalty Programs
Open LPs are accessible to anyone; closed LPs are deliberately restricted to a particular group of users, usually through the requirement of a membership fee. Both types of programs offer several advantages, as listed in ◘ Table 10.2.
5.3.3 Automatic or Manual Point Accumulation
Most loyalty programs automatically record points, once the issued loyalty card is offered at checkout or the card number is entered in Internet transactions. Some programs such as «My Coke Rewards» or the German «Genusspunkte-Programm» (Nescafé Dolce Gusto Club) instead require online consumers to enter a code that can be found on products. Although consumers generally prefer automatic point accumulations, for companies, a manual system can be more cost effective.
5.4 Payment Function
For some LP providers, it has become common practice to endow loyalty cards with a payment function. Paying with a loyalty card can facilitate a comfortable purchase process for customers, and companies benefit as well because it is easier to generate purchase statistics at the individual customer level. In the United States, approximately 60% of all consumers own reward-based credit cards. The relevance of combining rewards with credit cards offered by retailers is strongly evidenced by Visa Claims reward cards, which now make up more than half of all credit cards and about 80% of money spent on credit (Woolsey & Schulz, 2011).
Retailers offer two types of loyalty cards that include payment functions. If the transactions aim to debit the customer’s account and credit the retailer’s account, the card must involve a banking partner (open loop). If instead the transactions do not actually pay for the purchase but rather grant the retailer access to an existing customer account (e.g., automatic debit transfer systems), no banking partner has to participate. The latter form is called a closed loop.
5.5 Sponsorship
The sponsorship function refers to supply-side features that describe the LP owner.
5.5.1 Single- Versus Multi-Firm LP
Organizations may establish LPs that include only transactions with their own customers. For example, BP France accepts only transactions by members made at BP stations in France. In contrast, members of Tesco’s «ClubCard» accumulate points by purchasing from the energy provider E.ON or members of Lufthansa’s «Miles and More» program collect and redeem miles from purchases at the menswear outfitters Ansons’s. Such alliances with partners are a major growth axis in LP design. The advantage of bringing in partners is the increased attraction of LP members, who have additional opportunities to accumulate assets. However, the focal company also runs the risk that its LP loses meaning if it includes too many partners. In this case, customer transactions with the focal vendor and asset accumulation may become completely unrelated.
5.5.2 Within/Across Sectors
Another supply-side dimension that is specific to multi-firm LP designs is the degree of cross-sector partners. That is, do customers accumulate assets within the same sector or across different sectors? For example, the Star Alliance includes SAS, Lufthansa, United Airlines, Varig, and various other airlines, so this LP structure covers the same sector. However, the LP maintained by AOL and American Airlines, with more than 2000 partners, spans many industries.
5.5.3 Ownership
In multi-firm LPs, the ownership dimension reveals who owns the LP in the network. Is it the focal firm, a partner firm, or a firm whose sole purpose is to manage the LP? An example of the latter case is Webmiles, an organization that draws together a network of partners across many industries, with the sole purpose of LP management.
5.6 Cost and Revenues of LPs
In an empirical study, Leenheer, Bijmolt, Van Heerde, and Smidts (2002) show that the costs related to four of the seven loyalty programs they analyze are higher than the returns generated. Thus, any evaluation of the benefits of LPs must consider the various sources of both costs and revenues.
Cost factors include set-up/implementation, operating, and variable costs. The implementation costs accrue during the phases dedicated to planning and introducing a loyalty program (e.g., buying hard- and software, external consultancy, personnel training, initial promotions). After the LP has been launched, several expenses persist: maintenance of a service center, administration of the customer database, and (if applicable) inventory costs for the rewards themselves. Finally, variable expenses include discounts, rewards, sales costs (packaging, shipping), and communication, which determine the total cost of a loyalty program.
Compared with the evaluation of costs, the calculation of revenues turns out to be far more difficult. Two sources of revenues (indirect and direct) exist. Assessments of direct revenues (e.g., membership fees, sales of special editions) are rather straightforward, but indirect revenues, which consist of the retention and development of existing customer relationships and the acquisition of new customers, prove very complex and difficult to estimate. LPs rewarding customers for their engagement behavior and resulting revenues are even harder to allocate.
6 Drivers of Loyalty Program Effectiveness
The factors that drive the effectiveness of a loyalty program can be structured into three main categories:
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1.
LP design characteristics
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2.
Customer characteristics
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3.
Firm characteristics
The configuration and interaction of these drivers determine whether an LP achieves its desired objective(s).
6.1 Loyalty Program Design Characteristics
The LP design characteristics, as we have noted, can be classified according to their:
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Reward structure
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Participation requirements
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Payment function
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Sponsorship (existence of partner network, network externalities)
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Cost and revenues
Thus three key questions must be answered to determine if a LP is effective:
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From the consumer’s perspective, are rewards attainable?
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From the consumer’s perspective, are rewards relevant?
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From the firm’s perspective, is the LP design aligned with desired goal(s)?
The first question asks how attractive the payoff is to the consumer. If the LP does not provide sufficient value (e.g., timing, rate of rewards), the customer cannot justify concentrating purchases, and no change in behavior will follow. For example, a traveler can redeem miles for a free flight after attaining the minimum mileage necessary. The level at which the airline sets this minimum mileage determines how many less frequent customers enroll in the program.
The second question pertains to whether the LP is relevant, regardless of attainability of rewards. It thus considers the degree to which an accumulation of assets in the program is relevant in terms of type of rewards (hard/soft, aspirational). If a consumer cares little for recognition and only wants hard rewards, an LP program that offers few hard rewards will not be relevant. The firm then must decide whether it wants to design its program to align with the desired benefits of a particular target segment.
Finally, is the LP’s design aligned sufficiently with the firm’s goals? For example, if an LP offers hard rewards and promotions that focus on changing short-term behavior, the LP likely will have a greater impact on behavioral loyalty and less of an influence on attitudinal loyalty. If effectiveness profits are the declared goal, the LP instead must be designed to allow the firm to collect as much information as possible about the customer.
6.2 Customer Characteristics
The key customer characteristic relevant to the effectiveness of LPs is the skewness of the customer value distribution (or value heterogeneity). This skewness varies greatly across industries. In some industries, the value of individual customers or accounts is widely similar, whereas in others, these values diverge greatly. For example, in the gasoline industry, the average driver’s monthly consumption of gasoline varies only moderately. However, in the financial services or telecom industries, usage patterns and customer profitability are widely varied.
How does this skewness determine the effectiveness of LPs? If an LP is designed to achieve value alignment, it can succeed best in an environment where customers exhibit high value heterogeneity. Thus, a value alignment goal is feasible in industries such as airlines, hotels, rental cars, pharmacies, telecom, and financial services.
6.3 Firm Characteristics
Factors relevant to LP effectiveness in terms of organizational characteristics include the:
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Perishability of a product.
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Breadth and depth of the firm offering the product at the store/retail level.
That is, the success of LPs depends on the characteristics of the product that the firm sells – and particularly whether that product is perishable. This point is why LPs are so widespread in the airline and hospitality industries. Thus a crucial feature of hotel LPs is that frequent users can get upgrades to «better» rooms when those offerings are not already taken up by paying customers.
In terms of the variety of products and brands offered at the retail level, an effective LP attains more opportunities for efficiency profits with greater breadth and depth at the store level, for several reasons:
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Buyers are more likely to be able to fulfill their needs.
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Buyers encounter more opportunities for one-stop shopping (which increases time savings).
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Buyers have more opportunities for behavioral loyalty (through more purchase occasions).
Thus, LPs generally should be more effective in terms of behavioral loyalty when the buying environment features greater choice. In addition, there should be opportunities for effectiveness profits with greater breadth and depth of offerings at the store level, because the latitude of purchases grants the firm more opportunities for learning about customer preferences and cross-selling products. ◘ Figure 10.3 summarizes how the drivers of LP effectiveness affect its outcomes.
6.4 Achieving a Competitive Advantage
Any firm develops its LP to create competitive advantage, or the ability to operate more profitably over a sustained period of time. In a 1999 survey conducted by McKinsey & Co. with 1200 customers across 16 product categories, the effect of LPs varied depending on the industry category. First, a highly frequented category, like grocery stores, is more likely to attract members to its LP than less frequent purchase categories, such as casual apparel stores. Second, a far larger percentage of customers admitted to spending more as a result of the LP in the grocery stores than in casual apparel stores.
The evidence we have seen so far indicates that LPs that aim to create efficiency profits actually provide the smallest basis for competitive advantage. Once every major firm in the market matches the first mover, all firms are back to square one, except that every firm now has higher costs.
Companies investing in LPs denote an average increase in revenue by 4.4% whereas companies having a lower loyalty focus grow by 5.5% in revenue (McKinsey, 2013). Thus, the key challenge when pursuing efficiency profits is to keep the costs of the LP under control. For the supermarket industry, which operates on razor-thin margins, this is a huge challenge, and perhaps the reason that most grocery LPs include manufacturer partners. Without manufacturers’ funding, such as promotions and rebates, a supermarket LP could not offer decent or appealing rewards. Clearly then, organizations must be ingenious to keep LP costs under control. But still, the value of participating in an LP must be greater than the value of not participating for customers – otherwise, there is no reason for customers to be interested. The emerging trend from single-vendor LPs to partnership and mega-coalition LPs may contribute to efficiency profits by mutual sharing of costs across partners (Breugelmans et al., 2015).
In contrast, LPs designed to create effectiveness profits have a good chance of creating competitive advantages. Effectiveness profits probably have the greatest appeal to large firms, and the continuous developments in IT make information-based strategies possible and even easy in some cases. Especially mobile platforms and social media play an important role for LPs. In 2017, 450 million mobile payment users are expected generating US$721 billion (Breugelmans et al., 2015). Hence, linking LPs with mobile payment options provides the opportunity for two-way communication and is of one of the major challenges companies face. The seamless connection of LP between offline and online channels is a necessity to drive LP members overall customer experience. However, the implementation seems still challenging for most companies. The capability of learning from customer behavior through continuous monitoring, analyzing this information appropriately, and using newly found insights for designing and deploying LPs remains challenging though. Even with widely available, sophisticated technology, we still find great differences in firms’ abilities to implement LPs that improve their effectiveness profits. The challenge that companies face is real-time customer interaction during and before purchase (Breugelmans et al., 2015). This requires integrated technology platforms with new data mining technologies, and higher organizational collaboration that break down organizational silos (Shiliashki, 2013).
Finally, the goal of value alignment might yield low-to-medium competitive advantages. In certain industries (e.g., airline, hotel), value alignment is a necessary, standard industry practice. Little competitive advantage comes from the program itself. However, industries such as financial services or telecom services can expect to reap competitive advantages if they pursue this goal, because execution matters, and firms differ in their ability to execute such programs.
7 Empirical Evidence on Loyalty Program Effectiveness
More and more empirical evidence in markets indicates how successful LPs really are in achieving their stated goals. But limited empirical evidence details the success or failure of specific loyalty programs. It is particularly difficult to get unbiased information about the performance of firm-specific LPs, because proper metrics rarely are in place, and few firms are likely to admit to their poor performance. Appendix 1 lists a few studies that have examined LP outcomes, each of which covers only selected industries. In addition, the small number of studies limits our ability to make strong empirical generalizations. However, we can draw a few conclusions from these published studies:
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Published evidence that LPs create attitudinal loyalty is rare, though firms might have more proprietary information on this point.
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The evidence regarding the relationship between loyalty programs and behavioral loyalty measures, such as share-of-wallet, is mixed. Some studies attest to a positive effect of LPs on behavioral loyalty (to varying degrees), but other empirical research fails to identify such an impact.
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There is very little information on the cost efficiency of LPs. Companies may not have the knowledge themselves, due to a lack of proper accounting or a reluctance to reveal it. Individual cases (e.g., Safeway, ASDA) suggest the great expense of managing LPs.
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Using LPs as a value alignment tool seems viable.
8 Loyalty Programs, Shackle or Reward: And to Whom?
Convincing evidence indicates that loyalty programs, as they exist today, fall short in terms of creating attitudinal loyalty. However, the new LP approach to reward customers for their engagement behavior with the brand may be the first step towards building up attitudinal loyalty. The name LP is a misnomer in that sense. Furthermore, programs that focus on incentives, deals, and promotions are often costly for the firm – unless it can offer mainly underutilized, perishable assets, such as unbooked hotel rooms or unrented cars. Costly rewards, on top of the razor-thin margins in the grocery industry, hardly seem sustainable in the medium to long run. Surviving LPs thus will be those that save companies money by replacing other communication tools, rather than just draining their resources. Designed properly, an LP can gather data that ultimately improve the efficiency and effectiveness of the marketing function.
The LPs that are most likely to provide sustainable competitive advantages are those that leverage data obtained from consumers into more effective marketing decisions, such that they result in true value creation for customers and thus the company. Loyalty is likely to follow in these cases (Reinartz & Kumar, 2002). Furthermore, firms with admirable levels of true customer loyalty, such as Harley-Davidson, offer no loyalty programs. For them, LPs and being loyal do not go hand in hand, because true loyalty does not need hard incentives; it is based on attitudes.
9 The Seven-Point Checklist for Successful LP Design and Implementation
We offer a checklist for developing, designing, and implementing a successful LP, with seven key points:
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Clearly determine your LP’s goals: Is its goal compatible with your marketing strategy and the positioning of your organization in the market?
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Align the design of your LP with the characteristics of your market, your customer base, and your firm: Knowing the customer base is important, because segments’ preferences for LP benefits vary. For example, senior citizens may not value the long-term accumulation of redeemable points as much as immediate price discounts on a product.
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Manage the costs of LPs: LPs are expensive, so cost management will always be a critical component. Consider all the costs involved (e.g., opportunity cost of the time of the managers involved). Can these costs be mitigated by marginal cost rewards or contributions from manufacturers?
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Measure the predicted benefits of the LP for your organization: Although it is difficult to specify these benefits accurately, you should attempt to conduct a trade-off analysis between the cost and gains of the LP. Also consider the time horizon (short versus long term).
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Avoid withdrawing an existing LP, which can have negative consequences in the form of customer dissatisfaction and defection: Customers do not like it when LPs are withdrawn, once they have grown accustomed to the benefits. Thus, design faults will not only result in losses but haunt you later, in the form of customer dissatisfaction.
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Design the LP to achieve maximum effectiveness in marketing operations: This goal can be achieved by learning customer preferences and responding to these preferences with the offering.
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Ensure that your firm has the necessary capabilities to manage its LP effectively: These capabilities include data storage, data analysis, and empowerment of employees, among others.
Questions on Minicase 10.1
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1.
How can a large company such as Starwood exploit customer data while still safeguarding and respecting customer privacy?
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2.
What should Starwood do to attract loyalty program nonusers into the program or find out more about the behavior and preferences of this large group?
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3.
How far should Starwood push its direct offerings to its program members? How can it discover the boundary?
Summary
The satisfaction-loyalty-profit chain (SPC) is based on the idea that improving product and service attributes leads to better customer satisfaction, which then produces greater customer loyalty, which means increased profitability. Although empirical studies concentrate on aggregate, firm-level results, this chain needs to be implemented at a disaggregated or individual level.
Improving customer satisfaction comes at a cost, and it may not even deliver the anticipated business results. There is an optimum satisfaction level for any firm, beyond which increasing satisfaction does not pay off. To find this level, firms must conduct longitudinal satisfaction studies and find changes in customer satisfaction over time, linking them to improvements in their offering. By focusing on customer retention, managers can move closer to the ultimate dependent variable: profits. Graphical representations of data reveal that the link between satisfaction and retention is asymmetric (i.e., dissatisfaction has a greater impact on retention than does satisfaction). It is also nonlinear, such that the impact of satisfaction on retention is greater at the extremes, with a flat part in the middle of the curve called the zone of indifference.
According to a hypothesis proposed by Frederick F. Reichheld (2000), long-term customers spend more per period over time, cost less to serve, have greater propensity to generate word-of-mouth, and pay a premium price compared with that paid by short-term customers. However, Reinartz & Kumar (2002) have tested this hypothesis and demonstrated that across firms, a segment of customers is loyal but not very profitable (because they use up excessive firm resources), and another segment generates very high profits despite its short tenure with the firm. Considering that these short-term customers can be very profitable, loyalty cannot be the only path to profitability. This finding points to the importance of remembering the ultimate end of the satisfaction–profit chain: Customer profits ultimately are required to demonstrate the value of good marketing decisions.
The findings also suggest the need to understand different forms of loyalty. Behavioral loyalty refers to observed actions by customers; attitudinal loyalty entails their perceptions and attitudes. Customers who are not attitudinally loyal are likely to end the relationship at the earliest available opportunity, but a loyalty program aims to keep them by offering rewards to customers for their repeat purchasing. In exchange for concentrating their purchases with the focal firm, customers can accumulate assets (e.g., points) and exchange them for products or services. The success or failure of a loyalty program, whether contractual or incentive-based, depends on the profitability gained from the customers. Furthermore, LPs offer an important CRM tool that marketers can use to identify, award, and retain profitable customers.
The key objectives of introducing LPs include building true (attitudinal and behavioral) loyalty, efficiency profits, effectiveness profits, and value alignment. True loyalty is a function of the true value provided to the customers. Efficiency profits, which are net of LP cost, are the profits that result from a change in customers’ buying behavior due to the LP. The most widely used measure of behavioral loyalty is share of category requirements or share of wallet, though LPs might not change behavior as much as they reinforce existing behavior – at a much higher cost to the firm. Effectiveness profits are the medium- to long-term consequences realized through better learning about customer preferences, which are more likely to generate sustainable competitive advantages and produce higher profits in the long run. Value alignment aims to match the cost to serve a particular customer with the value he or she provides the firm. It becomes particularly critical when there is great heterogeneity in customers’ value and costs to serve. Across these goals, LPs may not be truly effective in helping firms engender greater customer loyalty and higher profits, considering the costs and special challenges posed by managing an LP. Most companies need to revisit their business model, not only to reflect on the impact of LPs on their bottom line but also to determine how customer service initiatives add value to future revenue streams.
From customers’ perspective, rewards are the key design benefit of LPs. Hard rewards offer price reductions, promotions, free products, or preferred treatment, whereas soft rewards provide psychological recognition. Regardless of their type, rewards can be directly or indirectly linked to the company’s product offering. Consumers also prefer hedonic goods over utilitarian goods when receiving a gift, so companies work to differentiate their LPs on the basis of their inspirational or hedonic value. The rate of rewards (i.e., ratio of reward value to transaction volume) is a key driver of LP enrollment and use; it depends on the chosen asset accumulation response function. For example, a tiered structure offers different levels of rewards and privileges to customers in differing tiers. The timing of reward redemption instead is determined by the minimum redemption rules, type of reward, and reward rate.
Sponsorship refers to supply-side features, such as the introduction of partners – a growing trend in LP designs. If LP members can accumulate assets at organizations associated with the focal firm, the design also must consider the degree of cross-sector partnerships. Do customers want to accumulate assets within the same sector, or across divergent, different sectors?
These design factors drive the effectiveness of an LP, together with customer and firm characteristics. The configuration and interaction of these drivers determine whether an LP achieves its desired objective(s). This effectiveness thus depends on the attractiveness of the LP from the consumer’s perspective, the degree to which asset accumulation is relevant to the consumer, and whether the LP design aligns with the firm’s goals. It also reflects the skewness of customer value distribution (value heterogeneity). Finally, on the organizational level, the perishability of the product and the breadth and depth of the firm offering influence LP effectiveness. When a firm cannot capitalize on the perishability of its products, the reward expenses come directly from its bottom line, which reduces the economic viability of an LP. Greater breadth and depth of offerings at the store level means the latitude of purchases allows the firm more opportunities for learning customer preferences and cross-selling products.
No published evidence shows that LPs create attitudinal loyalty, though there is evidence of an impact of LPs on behavioral loyalty. Moreover, we find very little information about the cost efficiency of LPs, though using LPs as a value alignment tool seems viable.
A firm develops an LP to create a competitive advantage and operate more profitably over a sustained period of time. Thus a key challenge is keeping the costs of managing the LP under control. The LPs designed to create effectiveness profits have the highest chance of creating competitive advantage; the effectiveness profit goal thus has great appeal for most (large) firms. Value alignment instead should yield low to medium competitive advantages. It may be necessary in certain industries such as the airline or hotel industry, where value alignment has become a standard industry practice. However, industries such as financial services or telecom can expect to reap competitive advantage when pursuing this goal since execution matters and firms differ in their ability to execute the programs well.
Loyalty programs, as they exist today, appear to be falling short in terms of creating attitudinal loyalty. Instead, perhaps LP managers need to emphasize its promise as a method to gather data to improve the efficiency and effectiveness of the marketing function.
International Perspectives: Did You Know?
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1.
Loyalty programs, in order to stay attractive in the future, need to be joyful, beneficiary and easy-to-use, while offering relevant, personalized and instant rewards (CaptainUp, 2016). The next generation of loyalty programs aims at integrating gamification elements into the reward structure. Loyalty programs need to move away from static rewards towards incentives that are smarter and dynamic. Topaz, Ireland’s largest fuel provider, introduces gamification to their loyalty program, called «Play or Park». The loyalty game, allows customers to collect points for their refuel or purchase at Topaz stores. Customers can «play» a specific amount of points to win a fantastic experience of a lifetime, which changes every month. Or customers can «park» their LP points to wait for a better chance next months. Every time playing customers are guaranteed getting a free Topaz treat, which is independent of winning the lifetime experience.
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2.
In order to facilitate customers’ LP reward management for multiple providers and to ensure customer engagement in reward redemption, sophisticated interaction across LPs is required. Amongst other suppliers, IBM and Loyyal are building a loyalty network in the internet by the use of blockchain providing high transaction standard (Harvard Business Review, 2015). The underlying idea of a blockchain-based network is to trade rewards across programs, vendors, and industries and thus, should serve three major features: (1) Providing loyalty network platform, (2) enabling rewards applications (3) transforming the value of rewards into loyalty tokens. A loyalty network platform facilitates the conversion and exchange of loyalty points across industries and LP network participants. The application of reward is based on a digital loyalty reward wallet, which stores value for the collected LP points in the form of loyalty tokens (digital currency), which assure loyalty transaction either in form of issuance, redemption, or exchange across the network. A blockchain-based network creates value for customer and companies in multiple ways, i.e. increasing customer experience, facilitating multiple reward membership management by a single wallet platform and providing more insights in consumer behavior (Deloitte, 2016).
Exercise Questions
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1.
Explain the difference between behavioral and attitudinal loyalty. Provide an example of each.
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2.
What are the key objectives of loyalty programs? Which of these objectives provide the strongest competitive advantages?
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3.
You are a consultant to a credit card organization that wants to establish a loyalty program. The CEO has just read about how most loyalty programs result in money-losing propositions. How do you alleviate the CEO’s concerns?
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4.
Do companies profit by introducing loyalty programs? Is the success of a company’s loyalty program dependent on its industry category?
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5.
How can you measure loyalty? How does loyalty relate to the profitability of a company?
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6.
Would low-ticket items (coffee, candy, sodas) benefit from loyalty programs? What kind of incentives might work best?
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7.
Design a loyalty program for your neighborhood gas station. Describe the incentives. Determine the cost structure. Set benchmarks, and evaluate the profitability of the program across possible scenarios.
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8.
What are the ethical issues that surround loyalty programs? Should the gaming industry be allowed to use loyalty instruments for example?
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.
References
ABC. (2003). http://www.abc.net.au/businessbreakfast/content/2003/s883133.htm. Accessed July 18, 2011.
AMR Corporation. (2009). Annual Report, 2009. http://phx.corporate-ir.net/External.File?item=UGFyZW50SUQ9MzgwNjA1fENoaWxkSUQ9Mzg0Nzc2fFR5cGU9MQ==&t=1. Accessed July 29, 2011.
Bolton, R. N., Kannan, P. K., & Bramlett, M. D. (2000). Implications of loyalty program membership and service experience for customer retention and value. Journal of the Academy of Marketing Science, 28(1), 95–108.
Berry, J. (2013). Bulking up: The 2013 Colloquy Loyalty Census: Growth and trends in U.S. Loyalty Program Activity, COLLOQUY talk (June 2013), Colloquy White Paper, Cincinnati, OH.
BCG. (2014). Leveraging the loyalty margin: Rewards programs that work. https://www.bcgperspectives.com/content/articles/retail_transportation_travel_tourism_leveraging_loyalty_margin_rewards_programs_work/. Accessed April 21, 2014.
Bond Loyalty Report. (2016). The 2016 bond loyalty report. Whitepaper. http://info.bondbrandloyalty.com/hubfs/Resources/2016_Bond_Loyalty_Report_Executive_Summary_US_Launch_Edition.pdf. Accessed January 31, 2018.
Breugelmans, E., Bijmolt, T. H. A., Zang, J., Basso, L. J., Dorotic, M., Kopalle, P., Minnema, A., Mijnlieff, W. J., & Wünderlich, N. V. (2015). Advancing research on loyalty programs: A future research agenda. Marketing Letters, 26, 127–139.
Bridson, K., Evans, J., & Hickman, M. (2008). Assessing the relationship between loyalty program attributes, store satisfaction and store loyalty. Journal of Retailing and Consumer Services, 15(5), 364–374.
CaptainUp. (2016). The future trends of loyalty programs – Diverse and immediate. https://blog.captainup.com/future-loyalty-programs/. Accessed April 13, 2017.
Crié, D., Meyer-Waarden, L., & Benavent, C. (2000). Analysis of the efficiency of loyalty programs. Working Paper, University of Pau, France.
Deighton, J., & Shoemaker, S. (2000). Hilton HHonors worldwide: Loyalty wars. Harvard Business. https://www.hbs.edu/faculty/Pages/item.aspx?num=27553. Accessed January 31, 2018.
Deloitte. (2016). Making blockchain real for customer loyalty rewards programs. https://www2.deloitte.com/us/en/pages/financial-services/articles/making-blockchain-real-customer-loyalty-rewards-programs.html. Accessed April 13, 2017.
Demoulina, N. T. M., & Ziddab, P. (2008). On the impact of loyalty cards on store loyalty: Does customers’ satisfaction with the reward scheme matter? Journal of Retailing and Consumer Services, 15(5), 386–398.
Dorotic, M., Verhoef, P. C., Fok, D., & Bijmolt, T. H. A. (2014). Reward redemption effects in a loyalty program when customers choose how much and when to redeem. International Journal of Research in Marketing, 31(4), 339–355.
Fuchs, J. G. (2016). Payback Pay knackt die Nuss: Der Mobile-Payment-Durchbruch kommt. http://t3n.de/news/payback-pay-knackt-nuss-702122/. Accessed May 2, 2016.
Gómez, B. G., Gutiérrez Arranz, A., & Gutiérrez Cilián, J. (2006). The role of loyalty programs in behavioral and affective loyalty. Journal of Consumer Marketing, 23(7), 387–396.
Harvard Business Review. (2015). Blockchain will transform customer loyalty programs. https://hbr.org/2017/03/blockchain-will-transform-customer-loyalty-programs. Accessed April 13, 2017.
Hlavinka, K., & Sullivan, J. (2011). The billion member march: The 2011 colloquy loyalty census’. Loyalty One/Colloquy, Cinncinati, OH.
Hennig-Thurau, T., & Paul, M. (2007). Can economic bonus programs jeopardize service relationships? Service Business, 1(2), 159–175.
IHG. (2010). IHG annual report and financial statements 2010. http://www.ihgplc.com/files/reports/ar2010/docs/ihg_annual_report_2010.pdf. Accessed April, 2011.
Kivetz, R., Urminsky, O., & Zheng, Y. (2006). The goal-gradient hypothesis resurrected: Purchase acceleration, illusionary goal progress, and customer retention. Journal of Marketing Research, 43(1), 39–58.
Kjellerup, N. (2003). The myth of customer loyalty programs and customer retention. https://www.callcentres.com.au/myth_of_customer_loyalty_program.htm. Accessed January 31, 2018.
Kopalle, P. K., Sun, Y., Neslin, S. A., Sun, B., & Swaminathan, V. (2012). The joint sales impact of frequency reward and customer tier components of loyalty programs. Marketing Science, 31(2), 216–235.
Kreutzer, R. T. (2016). Erfolgreiches Dialog-Marketing im Modehandel. Köln, Germany: BTE-Praxiswissen.
Leenheer, J., Bijmolt, T. H., Van Heerde, H. J., & Smidts, A. (2002). Do loyalty programs enhance behavioral loyalty? An empirical analysis accounting for program design and competitive effects. Discussion Paper 65, University of Tilburg, Netherlands.
Leenheer, J., van Heerde, H. J., Bijmolt, T. A. H., & Smidts, A. (2007). Do loyalty programs really enhance behavioral loyalty? An empirical analysis accounting for self-selecting members. International Journal of Research in Marketing, 24(1), 31–47.
Lewis, M. (2004). The influence of loyalty programs and short-term promotions on customer retention. Journal of Marketing Research, 41(3), 281–292.
Liu, Y. (2007). The long-term impact of loyalty programs on consumer purchase behavior and loyalty. Journal of Marketing, 71(4), 19–35.
Liu, Y., & Yang, R. (2009). Competing loyalty programs: Impact of market saturation, market share and category expandability. Journal of Marketing, 73(1), 93–108.
Mägi, A. W. (2003). Share of wallet in retailing: The effects of customer satisfaction, loyalty cards and shopper characteristics. Journal of Retailing, 79(2), 97–106.
McCartney, S. (2016). The best and worst hotels for cashing in rewards points. The Wall Street Journal. https://www.wsj.com/articles/the-best-and-worst-hotels-for-cashing-in-rewards-points-for-2017-1507128137. Accessed January 31, 2018.
Meyer-Waarden, L. (2007). The effect of loyalty programs on customer lifetime duration and share of wallet. Journal of Retailing, 83(2), 223–236.
Meyer-Waarden, L., & Benavent, C. (2001). Loyalty programs: Strategies and practice. Working Paper, University of Pau, France.
Moneymanager. (2011). http://moneymanager.smh.com.au/banking/guides/articles/cc07.html. Accessed July 29, 2011.
Odell, P. (2009). Faithful following. Promo Magazine. http://promomagazine.com/incentives/marketing_faithful_following/. Accessed July 29, 2011.
Passingham, J. (1998). Grocery retailing and the loyalty card. Journal of the Market Research Society, 40(1), 55–67.
PYMNTS. (2016). Strabucks transactions now 21 percent on mobile. http://www.pymnts.com/news/mobile-payments/2016/starbucks-transactions-now-21-percent-on-mobile/. Accessed December 1, 2016.
Rajiv, L. (2001). Retail loyalty programs: Do they work? Marketing Science Conference, Wiesbaden, Germany.
Reichheld, F. F., Markey, R. G., Jr., & Hopton, C. (2000). The loyalty effect-the relationship between loyalty and profits. European Business Journal, 12(3), 134–139.
Reinartz, W., & Kumar, V. (2002). The mismanagement of customer loyalty. Harvard Business Review, 80(7), 86–94.
Reinartz, W., & Kumar, V. (2003). The impact of customer relationship characteristics on profitable lifetime duration. Journal of Marketing, 67(1), 77–99.
Ruddick, G. (2014). Clubcard built the Tesco of today, but it could be time to ditch it. The Telegraph. http://www.telegraph.co.uk/finance/newsbysector/retailandconsumer/10577685/Clubcard-built-the-Tesco-of-today-but-it-could-be-time-to-ditch-it.html. Accessed January 16, 2014.
Shiliashki, M. (2013). The untapped potential of digital loyalty programs. Journal of Payments Strategy & Systems, 7(2), 106–111.
Southwest. (2011). Rapid rewards. http://www.southwest.com/rapidrewards. Accessed April 2011.
Steinhoff, L., & Palmatier, R. W. (2016). Understanding loyalty program effectiveness: Managing target and bystander effects. Journal of the Academy of Marketing Science, 44(1), 88–107.
Taylor, G. A., & Neslin, S. A. (2005). The current and future sales impact of a retail frequency reward program. Journal of Retailing, 81(4), 293–305.
Taylor, M., Buvat, J., Nambiar, R., Singh, R. R., & Radhakrishnan, A. (2015). Fixing the cracks: Reinventing loyalty programs for the digital age. Capgemini Consulting, Whitepaper.
Tuttle, B. (2013). Amazon Prime: Bigger, more powerful, more profitable than anyone imagined. Time. http://business.time.com/2013/03/18/amazon-prime-bigger-more-powerful-more-profitable-than-anyone-imagined/. Accessed April 4, 2017.
Verhoef, P. C. (2003). Understanding the effect of customer relationship management efforts on customer retention and customer share development. Journal of Marketing, 67(4), 30–45.
Wang, Y., Lewis, M., Cryder, C., & Sprigg, J. (2016). Enduring effects of goal achievement and failure within customer loyalty programs: A large-scale field experiment. Marketing Science, 35(4), 565–575.
Webflyer. (2011). http://www.webflyer.com. Accessed July 29, 2011.
Webflyer. (2016). http://www.webflyer.com. Accessed January 31, 2018.
Woolsey, B., & Schulz, M. (2011). Credit card statistics, industry facts, debt statistics. http://www.creditcards.com/credit-card-news/credit-card-industry-facts-personal-debt-statistics-1276.php#Card-ownership. Accessed July 29, 2011.
Young, M. L., & Stepanek, M. (2003). Trends: Loyalty programs. http://www.cioinsight.com/article2/0,3959,1458960,00.asp. Accessed December 1, 2003.
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Appendix 1: Key Studies of LPs with Notable Empirical Findings
Appendix 1: Key Studies of LPs with Notable Empirical Findings
Year | Authors | Data source | Industry | Findings |
---|---|---|---|---|
Steinhoff & Palmatier | – | Cross-sector | LP can have negative effects on bystander customers, observing other’s preferential treatment. | |
LP effectiveness is influenced by reward delivery (rule clarity, reward exclusivity, reward visibility). | ||||
Wang et al. | Major hotel chain | Service industry | LP goal attainment positively impacts post-promotion purchases, whereas goal failure significantly reduces post-purchases. | |
Dorotic et al. | – | – | Redemption of LP rewards positively impacts LP members’ behavior before and after redeeming a reward. | |
Kopalle et al. | Major hotel chain | Service industry | LP design characteristics (frequency of rewards and customer tier component) generate incremental sales without cannibalizing each other. | |
Liu & Yang | – | 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. | ||||
Demoulin & Zidda | – | 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. | |
Bridson et al. | 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. | |
Meyer-Waarden | Supermarkets and hypermarkets | Retailing | LP have a positive effect on customer lifetime and share of customer expenditures at the store level. | |
Hennig-Thurau & Paul | — Experimental setting | Restaurant | LP can lead to counter-productive results by decreasing customer retention. | |
Liu | Convenience store chain | Retailing | Positive influence of LP on consumers’ purchase frequency and transaction size holds only for light and moderate buyers. | |
Leenheer et al. | 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. | ||||
Kivetz et al. | – | Coffee and music on internet | LP induces purchase acceleration through the progress toward a goal. | |
Gómez et al. | Spanish supermarket chain | Grocery | LP members are more behavioral and affectively loyal than other participants. Few customers change purchase behavior after joining the program. | |
Taylor & Neslin | – | U. S. grocery | LP increases sales through «point pressure» (short-term) and «rewarded behaviors» (long-term). | |
Lewis | Online vendor | Grocery and drugstore items | LP are successful in increasing repeat-purchase rates. | |
Reinartz & Kumar | – | 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 behavior (e.g., purchase acceleration). | ||||
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. | ||||
Verhoef | Dutch financial services company | Financial services | LP that provide economic benefit have a positive effect on customer retention and customer share development. | |
Mägi | 35 grocery stores (four chains and a few independent stores) | Retailing | Loyalty cards have mixed effects on consumer behavior (share of purchase and share of visits). | |
Rajiv | U.S. direct marketing firm | General merchandise | LP membership is associated with the longer duration of customer–firm relationships. | |
No information on cost-efficiency. | ||||
Meyer-Waarden & Benavent | – | 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. | ||||
Bolton et al. | Six partner companies of the FlyBuy program in Australia | General retail | LP has hardly any effect on repeat purchase patterns (behavioral loyalty). | |
Deighton & Shoemaker | 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. | ||||
Crié et al. | 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. |
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Kumar, V., Reinartz, W. (2018). Loyalty Programs: Design and Effectiveness. In: Customer Relationship Management. Springer Texts in Business and Economics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-55381-7_10
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