Why aren't customers redeeming? Explore the ABCs of low redemption rates.

Article Type: Loyalty

Published: February 23, 2025

Reading Time: 4 minutes

Overview

One of the top reasons customers join loyalty programs is to get rewarded — in fact, 62% of customers cite rewards as their primary motivator. Even so, many programs find that customers aren't redeeming as much as expected. Often, these rates fall short of program owners' expectations, despite data showing that members who redeem are significantly more valuable than those who don't.

This article explores the barriers preventing customers from redeeming loyalty rewards and provides guidance on diagnosing and improving redemption rates in your loyalty program.

What Motivates Customers to Join Loyalty Programs?

Kognitiv's global research study asked customers across various geographies and industries why they participate in loyalty programs and how they use them. The research highlighted how motivations vary across verticals, but one insight stood out universally: benefits and rewards matter most.

Unsurprisingly, customers prioritize receiving value in exchange for their participation above all else. Strong loyalty programs create opportunities for members to realize value early in the customer journey.

Key Finding: Receiving benefits and rewards is particularly important when customers are facing economic uncertainty. During recessions or periods of financial pressure, customers actively seek value, and loyalty programs provide a compelling way to deliver it.

Source: Kognitiv Global Loyalty Insights, 2023

Why Redemption Matters

Redemption isn't just good for customers — it's great for brands. Multiple research studies found that customers who redeem rewards are more likely to remain loyal.

Impact of Redemption on Business Metrics

Metric Impact Source
Purchase Influence 83% of consumers say that being part of a loyalty program influences their decision to buy again from the same brand Open Loyalty
Revenue Increase Top-performing loyalty programs can increase revenue from redeeming customers by 15% to 25% annually due to more frequent purchases or larger basket sizes McKinsey
Churn Reduction Engaged loyalty members exhibit 15-20% lower churn rates Zinrelo

Clearly, redemption creates a win-win scenario. But if it's so beneficial, why aren't more customers redeeming?

Barriers to Redemption: The ABCs Framework

There are several reasons why customers might not redeem rewards. Let's explore these barriers:

1. Awareness

Customers may not know how to redeem or what options are available.

2. Achievability

If rewards feel out of reach, customers may disengage. For example, earning rates may be too low or thresholds too high.

3. Accessibility/Awkwardness

A high-friction redemption process can deter customers.

4. Attractiveness/Assortment

If rewards aren't relevant, appealing, or usable, customers won't redeem them.

5. Accumulating

Some customers are saving up for a larger redemption in the future.

6. Asked

Customers may simply need a prompt or reminder to redeem.

7. Age

Customers in the early stages of their loyalty journey may not have accrued enough points yet.

8. Association

If redemption is tied to another behavior (e.g., completing surveys or visiting specific locations), customers might avoid it.

9. Alternates

Some customers may value non-redemption benefits (like status perks) over redeemable rewards.

Diagnosing Your Program's Redemption Gaps

If you're not sure which of these is your main challenge, start with Analysis. Examine redemption rates by customer segment and link this data to customer profiles and behavior.

Key Questions to Ask

By controlling for earning rates (for example, how many points a customer earns per month), you can isolate factors like Achievability from other issues, such as Accessibility or Attractiveness.

The Power of Asking

Don't hesitate to ask your customers directly about their redemption experiences. Surveys, interviews, or in-app feedback can provide invaluable insights. When paired with behavioral data, customer feedback can reveal the "why" behind redemption gaps, enabling you to tailor solutions effectively.

Striking the Right Balance

Whether your program struggles with low engagement or faces the opposite challenge of excessive redemptions straining your budget, it's crucial to revisit both your loyalty tools and your strategy.

Optimization Strategies

Optimize your offerings: Align rewards with customer preferences to enhance their perceived value.

Streamline the process: Ensure that redemption is intuitive, accessible, and low-friction.

Incentivize at key moments: Use personalized prompts and nudges to encourage redemption.

Reach out to our team to learn the latest ways to increase engagement with your program's benefits and the valuable behavior change it can create. And, importantly, how to balance your costs and benefits to make sure your program engages both your customer audience and your accounting team.

About Kognitiv

Kognitiv is redefining loyalty with its AI-native outcome-based technology. Our award-winning loyalty software and a suite of cross-channel intelligence and personalization products enable brands to deliver hyper-personalized experiences, predict and optimize customer engagement in real time, and achieve measurable results.

It's time to move beyond transactions and earn customers' lifetime loyalty. Discover how reimagining your loyalty strategy and customer engagement with AI can foster deeper connections and drive long-term success.

Kognitiv Product Suite

Kognitiv Pulse: Track, predict, and optimize your customers' lifecycles with AI/ML-powered insights and activation to maximize customer lifetime value.

Kognitiv Ignite: Enable 1:1 personalization at scale with AI-native data activation across owned channels.

Kognitiv Inspire: Launch and manage a successful loyalty program with quick-to-deploy, scalable loyalty system with 200+ connectors for easy omni-channel activation.

Kognitiv Amplify: Intelligently acquire and engage customers across paid channels with outcome-based AI/ML optimization for paid display, video, social and programmatic.

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