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How this guide was prepared. Last updated October 2026. It draws on Brandmovers' experience designing and running loyalty programs and rewards catalogs. It also draws on published research, accounting guidance and Brandmovers client case studies, each checked at its source. |
Redemption rate is the share of earned loyalty points that members redeem, usually points redeemed divided by points issued over a period. A member-based version counts the share of members who redeemed at least once. Both show, after the fact, whether members find the program worth using.
When a redemption rate stalls, the usual advice is to add rewards, simplify the flow and send reminders. Those fixes help only if they match the cause. This guide sets out five root causes of low redemption, the questions that show which one applies, the intervention that matches each, the metrics that track progress and the mistakes that keep rates stuck. It is written for programs that already have members and are trying to work out why redemption is not moving.
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It measures how much earned value members use, not why, and it shifts with timing, so read it by cohort and segment rather than as one program-wide number.
The points-based rate divides points redeemed by points issued in a period. Because points issued this quarter may be redeemed next year, a single-period figure mixes old and new balances; tracking cohorts of members or points by time since earning gives a cleaner view. The member-based rate, the share of members who have redeemed at least once, shows how widely the program delivers value. Published "average" rates vary with category, earn speed, reward thresholds and how the rate is calculated, so compare your own segments and cohorts over time rather than against a generic figure, and note any change to expiry rules, thresholds or automatic rewards that falls inside the comparison. Redemption does matter commercially: McKinsey reports that "redeemer members spend 25 percent more than enrolled but inactive members" (McKinsey, Next in loyalty). That compares groups that chose to redeem or not, so it shows an association rather than how much redemption itself adds.
Reward mismatch, redemption friction, unreliable balances, weak communication and program immaturity each suppress redemption differently, so identify the main cause before choosing a fix.
McKinsey lists similar reasons members let points expire: "issues with redeeming points, members forgetting they're enrolled in a program, unappealing or less relevant rewards, and unachievable or expensive reward thresholds" (McKinsey, Next in loyalty). Work through the five causes below with your own data, pick the one that best explains the pattern and fix that first. Stacking several changes at once makes it hard to tell which one worked. Small programs may lack the members for a reliable control group; there, compare before and after for a defined cohort and allow for seasonality.
Members earn points but do not redeem because the rewards do not suit them or are out of reach. Programs often assume the catalog is fine when member behavior says otherwise.
Diagnostic questions.
Intervention. Survey members who have enough points but have not redeemed in a set period, and add a lower-threshold reward that makes a first redemption achievable. BLOYL™, Brandmovers' loyalty platform, includes predictive churn analytics that can flag members likely to lapse, A/B testing against a control group and a rewards catalog of 100,000+ options with automated fulfillment.
Members want to redeem, but finding rewards, reaching the redemption step or completing it takes enough effort that they give up. The rewards may be right; the path to them is the problem.
Diagnostic questions.
Intervention. Map the redemption journey and find the drop-off point before changing anything. Cut steps, show the balance and what it can buy wherever members look, and, where taking payments suits the program, consider a points-plus-cash option, which McKinsey lists among the practices of leading programs, so members can reach rewards they cannot yet afford in points. Test the simplified flow against the current one.
When balances change after the fact, members stop planning redemptions against them. This is common in B2B and channel programs where sales are reported through distributors or reconciled against invoices.
Diagnostic questions.
In programs where purchases flow through distributors or data aggregators, points may be credited before a sale is confirmed and then reversed after a return, a corrected sale date or an unpaid invoice. A member who has seen points disappear learns not to rely on the balance, even when it is accurate.
Intervention. Hold newly earned points in a pending state until the underlying transaction is confirmed, so the redeemable balance stays trustworthy. The Aquatrols program, which runs on BENGAGED™, Brandmovers' B2B channel incentives platform, uses this approach.
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Case study (disclosed by Brandmovers). Aquatrols, a turfgrass technologies manufacturer, sells through distributors to end customers, mostly golf courses and turf managers, and receives distributor sales data through a third-party data aggregator. Its Approach program uses a pending points feature built for returned product, differences between transaction and reported sale dates and unpaid invoices: earned points are held in a pending state, visible on the member's dashboard but not redeemable until they are made active. The program also uses category bonus rules that reward customers for meeting minimum volume thresholds across all three of its product categories. Customers average between 1.08 and 1.17 product categories purchased per month per user, and off-season sales increased as much as 23% at times (disclosed by Brandmovers). The case page does not report a redemption figure or attribute these results to pending points specifically. |
The design choice matters for diagnosis: when pending and active balances are shown separately, a member's redeemable balance only goes up, which removes one reason to distrust it.
Members have enough points, the rewards suit them and the process works, but they do not know what they can get now or when points expire. This is a marketing problem that looks like a program problem.
Diagnostic questions.
Intervention. For members above a reward threshold, shift from "earn more" to "redeem now" messages, send a prompt when a member crosses a threshold for the first time and suggest rewards based on what the member buys. McKinsey also lists reminding customers "of their point balances with targeted communications" among the practices of leading programs.
In a young program, many members have not yet earned enough for a first reward, so the rate is low for structural reasons. This is a stage to manage rather than a fault to fix.
Diagnostic questions.
Intervention. Run a first-redemption campaign for members who have crossed the minimum threshold but not redeemed, and consider a low entry reward designed to make the first redemption easy. Whether a first redemption leads to more in your program is worth checking in your own data.
Start with the cause that best fits your data, apply one intervention and check the signal that should move before adding the next.
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Root cause |
Signal in your data |
First intervention |
How to check it worked |
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Reward mismatch |
Few eligible members redeeming top rewards; few members reaching them |
Non-redeemer survey; lower-threshold reward |
Share of eligible members redeeming, by reward level |
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Redemption friction |
Started but unfinished redemptions; device mismatch |
Journey mapping; fewer steps; points-plus-cash |
Completion rate of started redemptions |
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Unreliable balances |
Point reversals; balance complaints; lower redemption in partner channels |
Pending points until transactions are confirmed |
Reversal rate and balance-related support contacts |
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Weak communication |
Low message engagement; members above threshold not redeeming |
"Redeem now" prompts at threshold crossing |
Redemption rate among members who received prompts versus a control group |
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Program immaturity |
Long time to first redemption; many members never redeemed |
First-redemption campaign; low entry reward |
First-redemption conversion rate |
Members redeem when a reward they want is within reach. The time it takes to earn one shapes redemption alongside what the catalog offers.
Research on goal progress supports designing for that distance: Kivetz, Urminsky and Zheng found that members of a café reward program "purchase coffee more frequently the closer they are to earning a free coffee" (Journal of Marketing Research, 2006). A member months away from any reward gets little of that pull. Expiration policy works on the same distance: a clear, visible expiry date can prompt redemption, while points that expire before a typical member can reach a reward mostly add to breakage. Earn rules can also steer behavior toward a reward, as in the Aquatrols category bonus rules above. Design earning so the behavior you want is the most direct path to a reward members value, then check whether redemption and the target behavior both move. The guide to loyalty program AOV covers how redemption fits with basket-size levers.
Four measures add detail: how fast members redeem, how many could redeem but do not, how many redeem soon after first qualifying and breakage by segment.
The loyalty KPI dashboard sets out formulas for these and related measures.
Three are common: reading one program-wide rate, changing the catalog before checking how fast members earn, and treating unredeemed points as profit.
Treating the program rate as one number. As an illustration, a points-based rate of 18% might combine 45% among top-tier members, who hold about a third of issued points, and 6% among base-tier members, two groups with different problems. Segment by tier, enrollment cohort and channel before changing anything.
Changing the catalog before checking earn speed. If members cannot earn enough for a meaningful reward within a realistic buying cycle, new rewards will not help. Work out how many typical purchases it takes to reach the lowest reward first.
Treating breakage as profit. Some breakage is expected and priced into most programs: under US GAAP, the value assigned to points is reduced for expected breakage, and points that give members a material right are accounted for as a separate obligation, satisfied when members redeem them or the points expire, or when the program operator transfers the obligation to a third party (PwC Viewpoint, 7.2). The mistake is counting rising breakage as a gain. McKinsey notes that breakage "reduces a program's balance-sheet liability in most cases, which sounds positive for program economics. But that's not the complete story," because inactive members are at its root. The guide to point breakage covers the financial side. If redemption data shows sudden unusual spikes, the guide to loyalty fraud detection covers what to check.
Segment the rate, find the members who could redeem but do not, identify the main cause, apply one fix and measure it against a control group before adding the next.
A low redemption rate is a symptom. Reward mismatch, friction, unreliable balances, weak communication and program immaturity each need a different fix, and applying them all at once makes it hard to know which one is worth the budget. Read the rate by segment, diagnose the main cause, design earning so members can reach rewards they want and treat rising unredeemed balances as a sign that members may not yet be getting value.
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Is your redemption rate stuck? Brandmovers builds consumer loyalty programs on BLOYL, with predictive churn analytics, A/B testing against a control group and a 100,000+ rewards catalog, and B2B channel programs on BENGAGED, with rules and reporting by product, partner and territory. Request a demo to talk through your program with the Brandmovers team. |