From 5x to 10x

 In practice, that means loyalty ROI is built from a set of commercial metrics such as:

• Average spend per member versus non-member or pre-program baseline.
• Repeat purchase rate and purchase frequency, because members who buy more often are often the main source of incremental profit.
• Average order value or basket growth, especially in retail and ecommerce contexts.
• Retention or churn reduction, because lower churn expands lifetime value and improves unit economics.
• Reward redemption and reward cost, because redemptions create both cost and behavioral evidence of value.
• Total program costs, including technology, funding of rewards, operations, marketing, administration, and integration.

The important point is that ROI is not a vanity metric. When measured properly, it is a profit metric based on behavior change.

How engagement is calculated

Engagement is not the same as satisfaction and not the same as enrollment. Recent benchmark work defines engagement through meaningful member actions over time. The 2026 loyalty ROI benchmark report defines engaged member rate as the percentage of members who perform at least one meaningful action in a period, such as redeeming a reward, completing a mission step, or scanning a QR code. Forrester’s 2025 work adds that members increasingly want to engage with loyalty programs even when they are not making a purchase, which broadens the definition of engagement beyond simple transactions.

In practical terms, brands typically calculate engagement using metrics such as:

• Active member rate, meaning the share of members who earn, redeem, or interact in a given period.
• Redemption rate, because a redeemed reward is one of the clearest signals that a member is using the program.
• Interaction frequency, such as app sessions, offer views, linked visits, or program-linked transactions.
• Non-purchase participation, such as gamified missions, surveys, reviews, or other brand interactions.
• Share of wallet or member revenue contribution, which shows whether engagement is translating into economic behavior.

This distinction is central to the article’s argument. A member can report being happy with a program but still interact with it only occasionally. That means satisfaction can remain high while the economic value of the member file remains only partially unlocked.

Why 5x looks good today

Recent data confirms that loyalty programs do influence behavior. Statista reports that loyalty programs influence buying decisions for nearly eight in ten U.S. consumers, with 83%–84% of respondents across major generational groups saying rewards programs affect their decision to continue doing business with a brand. Deloitte’s latest survey finds that effective programs fundamentally reshape consumer behavior and that 80% of consumers say they get more from the brand because of the loyalty program. Those are very strong signals that loyalty has real commercial force.

This is why a 4–5x ROI is commonly celebrated. Most companies do not need perfect engagement to generate positive returns. A well-designed program can already produce strong economics if a sufficiently valuable segment of members increases spending, purchases more often, or stays longer. That is enough to make 5x ROI look excellent on a dashboard.

Why 5x can still be leaving money on the table

The same recent evidence also shows that many programs are under-activated. Statista reports that U.S. consumers belong to 16.6 loyalty programs on average but actively use only about half of them. Statista also notes that many adults dislike the time and effort required to obtain rewards, which helps explain why membership and usage diverge. This is one of the clearest recent indicators that satisfaction and enrollment do not equal high engagement.

Forrester’s 2025 loyalty perspective adds nuance: 77% of U.S. online adults say they like to engage with loyalty programs even when they are not purchasing, which suggests latent appetite for deeper participation. Yet the need for a “diversified approach to engagement” implies that many programs are not fully capturing that appetite today. BCG reinforces this point by arguing that customer expectations are rising and that brands need to move beyond standard value propositions if they want programs to remain compelling.

The implication is simple. A 5x ROI program may be a profitable program, but it is often profitable because a limited active cohort is doing a lot of the financial work. If more of the enrolled base became active, the same infrastructure could support much higher incremental profit.

Satisfaction is high, but engagement is still too low

Recent trusted data supports the claim that members often like loyalty programs. Statista reports that about seven in ten U.S. consumers are satisfied with their loyalty programs. Deloitte finds that loyalty programs materially increase value perception and that many consumers believe they get more from the brand because of them. Ipsos research for PAYBACK found that 88% of respondents were satisfied or very satisfied with the program and that 88% also rated it easy to use.

But there is a second half to the picture. Statista’s finding that consumers actively use only about half of the programs they belong to shows that positive sentiment does not convert automatically into regular participation. The 2026 benchmark framing that engaged member rates of 40%–70% are typical for better-run programs also implies that a large share of many member files remains inactive in any given quarter. In other words, loyalty programs can be liked, even valued, while still failing to activate a major part of the base.

That gap is the financial opportunity. The difference between a solid 5x program and a best-in-class 10x program is usually not that one has a loyalty scheme and the other does not. The difference is that one has converted much more of the file into an active, recurring, measurable behavior loop.

ROI differs by sector and by program type

Not all loyalty economics look the same. Sector structure changes the ceiling because frequency, margin, and emotional value differ across categories.

The practical lesson is that ROI targets should not be generic. A program in grocery, fashion, or financial services should be judged against the economics of that category and the sophistication of its engagement model.

The difference between a 5x ROI program and a 10x ROI program

A 5x program usually has enough engagement to be economically successful. A 10x program has enough engagement to become economically compounding. The financial difference comes from scaling active member behavior, not simply scaling membership.

That difference usually shows up in a few operational areas:

• More members are active in a given quarter.
• More members redeem rewards, which is often a sign the program is understandable and relevant.
• More members engage outside the moment of purchase, keeping the program top of mind.
• Offers are more personalized, which raises conversion and repeat behavior.
• The reward structure is more motivating because it includes access, tiers, exclusivity, or other differentiated value rather than only discounts.

This is why engagement is the bridge between “already profitable” and “financially transformative.” The higher the share of the file that becomes active and behaviorally responsive, the higher the incremental profit pool that the program can create.

Simulation: what the new ROI could look like at 10x

A simple simulation illustrates the economics. Assume a retailer has 1,000,000 enrolled members and a baseline annual profit contribution of 100 units per customer before the loyalty program effect is measured. Assume also that active members produce a 30% profit uplift versus baseline, which is directionally consistent with recent loyalty benchmarks that report 10%–25% higher revenue for members and meaningful retention improvement in better-run programs.

Scenario 1: a good 5x program

• 25% of members are active, or 250,000 people.
• Active member profit contribution is 130 units, while inactive members remain at 100 units.
• Total profit with the program is 107.5 million units.
• Baseline profit without the program is 100 million units.
• Incremental profit is 7.5 million units.
• If total program cost is 1.5 million units, ROI is 5.0x.

Scenario 2: a stronger 10x program

Now assume the brand improves engagement architecture through easier redemption, more relevant rewards, broader non-purchase engagement, and better personalization. As a result, the active share rises from 25% to 45%, and active member profit uplift improves modestly from 30% to 35% because repeat behavior and spend both improve.

• 450,000 members are active.
• Active member profit contribution becomes 135 units, while 550,000 members remain at 100 units.
• Total profit becomes 115.75 million units.
• Incremental profit versus baseline becomes 15.75 million units.
• If program cost rises only slightly to 1.575 million units, ROI becomes 10.0x.

This is an illustrative model, not a market promise. But it is grounded in the same ROI logic used by EY and recent benchmark frameworks: if more of the file becomes active and the active members become more productive, profit can rise materially faster than cost.

Serious and reliable recent examples

Recent examples and benchmark evidence support the idea that higher engagement can create outsized financial results, even if not every program reaches the same level. Queue-it reports that top-performing loyalty programs can increase annual revenue from participating customers by 15%–25%. Antavo reports that tiered programs can outperform non-tiered programs by about 80% on ROI. Forrester’s 2024 TEI study on SessionM found a 59% ROI over three years for a composite business, driven by improved personalization, transaction frequency, retention, and operational efficiency.

More recent benchmark syntheses also suggest that the upper band of mature programs already extends to around 10x ROI. That means the idea of “10x” is not a speculative slogan. It is better understood as the upper end of serious current benchmark ranges for mature, well-executed programs.

Current and upcoming challenges

The path from 5x to 10x is not automatic. Current research points to several obstacles. BCG argues that customer expectations are climbing and that consumers want differentiated value, not just generic rewards. Deloitte highlights the importance of creating enough perceived value to reshape behavior in an era where shoppers are very sensitive to value. Forrester emphasizes that brands need a diversified approach to engagement and that members increasingly expect to interact with programs outside the purchase moment.

Key challenges include:

• Loyalty fatigue, because many consumers belong to many programs and only use some of them actively.
• Weak differentiation, because many programs still look similar.
• Margin pressure, because rewards need to feel meaningful without destroying unit economics.
• Personalization and data complexity, because relevant offers require stronger first-party data orchestration.
• Measurement rigor, because CFOs increasingly want proof of incremental value rather than raw enrollment counts.
• Program complexity, because confusing earning or redemption rules suppress active usage.

These challenges are real, but they are also the reason the upside remains open. If the market had already solved them, the 4–5x average would not still dominate the discussion.

How to increase engagement

Recent trusted sources point to a fairly consistent playbook. First, make the program simple and easy to use. Ipsos data shows that ease of use is one of the strongest drivers of satisfaction, and Statista notes that time and effort required to obtain rewards is a major complaint. Simplifying rules, redemption, and benefit visibility is therefore a core engagement lever.

Second, increase the relevance of the reward structure. BCG argues that customers want differentiated value, while Antavo’s tiered-program findings suggest that progression, status, and recognition can materially improve ROI. This means that brands should go beyond static points-and-discounts mechanics and create more motivating reward architectures.

Third, broaden engagement beyond transactions. Forrester reports that 77% of U.S. online adults like engaging with loyalty programs even when they are not purchasing. That opens the door to rewarding browsing, feedback, missions, referrals, content interaction, event participation, and other actions that reinforce habit.

Fourth, improve personalization. Deloitte and Forrester both point to the role of relevance and personalized experiences in driving value and repeat behavior. The more precisely a brand can connect the right reward, offer, or experience to the right customer, the more likely it is to activate a larger portion of the member base.

Finally, optimize continuously. EY recommends disciplined measurement through test-and-control methods, and recent benchmark frameworks emphasize experimentation and budget allocation toward the highest-return pathways. A program that is measured and tuned continuously has a much better chance of moving from average ROI toward the upper band of the market.

The opportunity

The loyalty market already treats 4–5x ROI as excellent, and current data confirms that this is a strong benchmark. But the same recent research also shows why this benchmark understates the opportunity: customers often value loyalty programs, many are satisfied with them, and loyalty clearly influences purchasing behavior, yet active usage remains far below total membership and many programs still fail to differentiate or fully engage the base.

That is the real loyalty ROI lie. The market often talks as though 5x is the natural endpoint, when recent evidence suggests it is often only the result of partially unlocked engagement. The more strategic view is that a brand that improves active participation, relevance, redemption, and behavioral habit can shift its economics from “already profitable” toward “structurally superior.” In today’s benchmark language, that is the path from a 5x program to a 10x program.

Sources used

• EY, “How to measure and demonstrate loyalty program ROI”
• Deloitte, “Reshaping loyalty programs in an era of value seeking”
• BCG, “Loyalty Programs and Customer Expectations Are Growing”
• Queue-it, “117 Staggering Loyalty Program Statistics for 2026”
• Ipsos / PAYBACK, “What Matters Most to Consumers in Loyalty Programs”
• Statista, “Loyalty programs and marketing in the U.S. – statistics & facts”
• Forrester, “The Total Economic Impact™ Of Mastercard SessionM”
• Statista, “U.S.: Loyalty program impact on consumer behavior”
• LoyaltyPass, “Loyalty Program Statistics 2026: 73+ Data Points”
• Forrester, “Modern Loyalty Requires A Diversified Approach To Engagement”
• Antavo, “8 Best Tiered Loyalty Programs to Get 80% More ROI”
• Visu, “Loyalty Program ROI: 2026 Benchmarks & Data [Report]”
• Queue-it, “15 Unique & Successful Loyalty Program Examples for 2026”
• Deloitte, “2024 Consumer Loyalty Survey”
• Comarch, “How do Loyalty Programs Make Money”
• LoyaltyLion, “21 Examples of Successful Loyalty Programs in 2026”