10 Loyalty Program Myths That Are Killing Your Marketing Strategy

A loyalty program is a structured way for a brand to reward and recognize customers for repeat purchases and other valuable actions. It works when it changes behavior in ways that create value for both sides, not when it simply pays existing customers for what they would have done anyway.

Loyalty programs are widely used and often misunderstood. Many are built on assumptions that sound reasonable but lead to wasted budget: that ROI can't be measured, that points are enough, that enrollment equals success. Retention is worth getting right. Research by Frederick Reichheld of Bain & Company, cited by Harvard Business Review, "shows increasing customer retention rates by 5% increases profits by 25% to 95%" (Harvard Business Review); that is older research about retention in general, not the effect of a loyalty program, but it shows why retention deserves attention. This guide takes ten common myths and sets out what the evidence suggests instead.

Key Takeaways

Why do loyalty myths matter?

Because a program designed around a false assumption misallocates budget and underdelivers, while the economics of keeping customers make getting loyalty right worthwhile.

Programs succeed when they are built around clear business goals and real customer motivation. Myths pull them away from both. Harvard Business Review also notes that "Depending on which study you believe, and what industry you're in, acquiring a new customer is anywhere from five to 25 times more expensive than retaining an existing one" (Harvard Business Review). The range is wide, but the direction is consistent, which is why spending on a program that doesn't change behavior is costly.

Myth 1: Is it true that loyalty programs don't generate measurable ROI?

No. Loyalty ROI is measurable when you track incremental lift against a control group or holdout, rather than activity such as enrollments or points issued.

The mistake is measuring activity instead of impact. To measure loyalty ROI, compare members who receive an offer or program feature with a randomly selected holdout who don't, and connect rewards to profitable behaviors: more frequent purchases, higher spend, longer retention and better first-party data. Comparing members with non-members overstates the effect, because members choose to join. Holding customers out of an entire program is often impractical, so many brands estimate program value by adding up tested lift from individual offers and features.

Myth 2: Is it true that only big brands can afford loyalty programs?

No. Program success depends more on strategy and execution than on budget, and modular approaches let smaller businesses start with a focused program and grow it.

A focused program built around the right behaviors can outperform a lavish one built on the wrong assumptions. Modular, phased launches let a business start with core mechanics and add features as results justify them. A practical starting point is one earning rule on repeat purchases, one or two reward levels and a short pilot measured against a holdout group, before adding tiers, partners or an app. Smaller brands still carry fixed costs for technology, rewards and fulfillment, so a narrow first phase keeps the commitment proportionate to the expected return.

Myth 3: Is it true that points and discounts are the only rewards that work?

No. Points and discounts are a foundation, but recognition, experiences, early access and engagement mechanics give members reasons to stay that a competitor's discount can't easily match.

Discounts alone can train customers to shop on price. Rewards that go beyond economics, such as recognition, experiences, early or exclusive access and engagement mechanics like missions, challenges and gamified milestones, give members something a competitor can't match on price alone.

Myth 4: Is it true that loyalty programs should focus only on heavy spenders?

No. Occasional and mid-tier customers may have more room to grow, so segment members by behavior and design journeys that move each group up.

Top spenders still deserve recognition, because losing them is costly, but rewarding only them mostly pays customers who were already loyal. Segment members by behavior and value, then design journeys that grow each group: reachable first rewards for newer members, recognition for regulars and growth targets for occasional buyers. For example, a member who buys monthly in one category can earn a bonus for a first purchase in a second category, and a lapsed member can get a time-limited reward for returning.

Myth 5: Is it true that simple point systems are outdated?

No. A clear earning and redemption structure often helps participation; the goal is to make a simple structure more relevant through personalization, not more complicated.

Complexity can be a barrier to joining and using a program. Simple mechanics and sophisticated strategy are not in conflict: the strongest programs pair an easy-to-understand structure with relevant offers and timely messages.

Myth 6: Is it true that loyalty programs are only for retail?

No. Loyalty and channel incentive programs work in B2B, where they reward the purchasing, product mix and partner behaviors that create value for manufacturers and their channel partners.

The mechanics differ from consumer programs, but the principle is the same: reward the behaviors that create value, and make those rewards worth earning.

Myth 7: Is it true that launching a loyalty program is quick and easy?

Launching a program is easy; launching one that works takes an economic model, clean data, the right technology, clear ownership and plans for fulfillment, fraud and service.

Treating loyalty as a short campaign rather than an ongoing capability is a common reason programs stall after launch. The work done before launch decides whether the program lasts: model reward costs and unredeemed points against expected lift, connect purchase or ordering data so points post reliably, name an owner for offers and reporting, and set fulfillment, fraud-control and member-service processes before the first member joins.

Myth 8: Is it true that success is measured by enrollment numbers?

No. Enrollment can be grown quickly with sign-up incentives and says little on its own; engagement, redemption, retention and incremental value show whether a program works.

Many enrollments go dormant. Deloitte found that the average consumer "enrolls in eight loyalty programs, yet actively participates in only five" (Deloitte). On average, that leaves about three of the programs a consumer joins inactive. Engagement matters commercially too: McKinsey reports that "redeemer members spend 25 percent more than enrolled but inactive members" (McKinsey), though that compares groups who chose to redeem, so it shows an association rather than cause. Plan enrollment and activation together.

Myth 9: Is it true that generic programs work as well as personalized ones?

Often not. Most Gen Z and millennial consumers say personalization would make them spend more, though far fewer older consumers agree, so test relevant offers against one message for everyone.

Deloitte found that "More than half of Gen Z (51%) and millennials (53%) say they would spend more at that brand if it offered a personalized experience, while just 38% of Gen X and 19% of boomers say the same" (Deloitte). Personalization depends on behavioral data and segmentation, and its value varies by audience, so test it rather than assume it.

Myth 10: Is it true that privacy concerns make loyalty data too risky?

No. Loyalty data is an asset when the value exchange is clear, consent is recorded and the program follows privacy law.

Customers share information when they get clear value in return and understand how it is used. In California, a CCPA-covered business that offers financial incentives for personal information "shall notify consumers of the financial incentives" and needs the consumer's "prior opt-in" consent, and the law "does not prohibit a business from offering loyalty, rewards, premium features, discounts, or club card programs" (Cal. Civ. Code 1798.125). The guide to loyalty program compliance covers privacy, promotions and tax rules in more detail. Other states have their own privacy laws, and every record held is a security responsibility, so collect only the data the program will use. This is general information, not legal advice.

What should you check instead of each myth?

Replace each assumption with a measure: incremental lift for ROI, engagement for enrollment, segment movement for spenders, non-discount engagement for rewards and recorded consent for data.

Conclusion

The thread through all ten myths is the same: loyalty works when it is built around clear goals and real customer motivation, and disappoints when it rests on assumptions. Measure incremental lift rather than activity, design for engagement as well as discounts, personalize within a simple structure, treat loyalty as an ongoing capability and handle member data openly and lawfully.

Sources

• Harvard Business Review, Amy Gallo, "The Value of Keeping the Right Customers" (October 29, 2014)
• Deloitte Insights, "Reshaping loyalty programs in an era of value seeking" (January 12, 2026)
• McKinsey & Company, "Next in loyalty: Eight levers to turn customers into fans"
• California Civil Code section 1798.125
• Brandmovers, DiGiorno Chaotic Good 'Stakes case study
• Brandmovers, Aquatrols B2B loyalty case study