Rewards That Work: Stop Chasing Points, Start Reducing Effort

Who This Is For

If you're running a loyalty program and feeling like you're just burning budget on points that nobody redeems, this is for you. We've all seen the stats: the average consumer is enrolled in 18 programs but actively engages with only about half (Bond Loyalty Report 2025). And 85% of consumers say loyalty programs make them more likely to keep buying—so the potential is real. But the gap between enrollment and engagement is where most programs die.

The common misconception? That more points equal more loyalty. Wrong. Points are table stakes. The real driver is something far simpler: reducing customer effort. Let's walk through how to actually build a rewards program that works.

Step 1: Stop Designing for Points, Start Designing for Effort

The most widespread loyalty model is points-based—77% of tracked brands use it (Euromonitor). But points alone don't create loyalty. In fact, the HBR study behind the Customer Effort Score found that over-the-top service efforts make little difference to loyalty—customers want a simple, quick solution (HBR: Stop Trying to Delight Your Customers). That insight applies directly to rewards: if earning and redeeming feels like a chore, you've lost the plot.

Look at your own program. How many steps does it take to redeem a reward? Is the value clear? If a customer has to jump through hoops, they'll just stop trying. The Bond Loyalty Report 2024 notes that free shipping is so ubiquitous it no longer ingrains loyal behaviors—so don't rely on that as your big perk. Instead, make the most valuable rewards effortless to claim.

Step 2: Fix the Earning and Redemption Experience

Here's a hard truth: 26.2% of UK loyalty points go unused, and 11.9% expire unspent (Retail Gazette/Antavo 2026). That's not just wasted value—it's a direct signal that your program isn't working. And 49.1% of UK and Irish consumers say it takes too long to earn rewards (Retail Gazette/Antavo 2026). The fix? Speed up the perceived value.

Start by making redemption easier. 38% of US consumers want more ways to redeem points—like physical gifts or early sale access (Antavo US Loyalty Trends 2025). And 41% want more ways to earn points, including non-transactional actions like engaging in physical activities or donating old items (Antavo US Loyalty Trends 2025). The more flexible you are, the more likely members will stay engaged.

Also, consider expiration policies. 49% of US consumers want no expiration of points, and points often expire after 12 months (Antavo US Loyalty Trends 2025). That's a simple change you can make today—and it immediately removes a major frustration point.

Step 3: Personalize Beyond the One-Size-Fits-All

Personalization is no longer optional. 73% of shoppers want personalized loyalty rewards, but only 45% of brands offer them (Euromonitor). That's a huge gap. And Gartner predicts that by 2030, one in five loyalty programs will offer only fully personalized, member-specific perks (Gartner via CX Dive: personalized perks). So if you're still doing a generic tier list, you're behind.

What does personalization look like in practice? The Home Depot's Pro Xtra program is a good example—it combines traditional tiers with behavior-based, personalized discounts (Gartner via CX Dive: personalized perks). You don't need AI to start; just segment your members by purchase history and offer relevant rewards. But AI is coming: 34% of US consumers are interested in joining programs that use AI to help them get the most out of their benefits (Antavo US Loyalty Trends 2025).

Step 4: Consider a Paid Tier for Deeper Commitment

If you're serious about loyalty, look at paid memberships. Amazon Prime is the poster child: members spend roughly $1,500 a year versus $625 for non-members (Euromonitor), and Prime members average $2,283 in annual purchases versus $916 for non-members—a 149% increase (Rivo). McKinsey research shows that paid loyalty members are 60% more likely to increase spending (Rivo).

But paid programs aren't just for giants. Even a small paid tier—say, $10 a month for free shipping and exclusive perks—can work if the value is obvious. The key is to make the value-to-cost ratio clear. Prime's is 7.2:1 (Rivo), but your own can be lower as long as it's compelling.

Step 5: Measure What Actually Predicts Loyalty

Stop obsessing over points issued or redeemed. Instead, track metrics that tie to behavior. The Customer Effort Score is a better predictor of loyalty than customer satisfaction or NPS (HBR: Stop Trying to Delight Your Customers). And NPS, while useful, isn't the be-all—Reichheld himself found that the single question 'Would you recommend this company to a friend?' correlated with growth (HBR: The One Number You Need to Grow). But effort is more actionable.

Smile.io defines redemption rate as points redeemed divided by points earned in the last 30 days, and order earning rate as the percentage of total orders that earned points (Smile.io performance benchmarks). These are the numbers that tell you if your program is alive. If redemption is low, your rewards aren't attractive enough. If order earning rate is high but redemption is low, you're creating points that don't matter.

Step 6: Use Referrals as a Loyalty Multiplier

Referred customers are more valuable. Research shows they're at least 16% more valuable than comparable non-referred customers (CO Consulting). And they refer more themselves: customers acquired through referrals make 31% to 57% more referrals than those acquired through other channels (AMA). That's 'referral contagion.'

To trigger it, use personal messaging. A field experiment found that 'You were referred in—now refer your friends!' boosted referrals by more than 20% versus a generic prompt (AMA). So make referral asks personal, and tie them to the member's own experience.

What Can Go Wrong

The biggest risk? Devaluing your program. The Bond Loyalty Report 2024 found that brands pulling back earnings or benefits for higher-status members saw double-digit declines in satisfaction (Bond Loyalty Report 2024). So whatever you do, don't devalue existing rewards. Another trap: assuming points are the answer. If you just add more points without fixing effort or personalization, you'll get more unused points—not more loyalty.

What I'd Actually Do

Here's my recommendation, plain and simple: ditch the 'earn and burn' mindset and focus on reducing effort. First, eliminate point expiration tomorrow. Second, offer at least three ways to earn and three ways to redeem, including non-transactional options. Third, personalize at least one perk per member based on their purchase history. Fourth, if you have the appetite, launch a paid tier that delivers real value—not just free shipping. Finally, measure redemption rate and Customer Effort Score monthly. If redemption is under 50%, fix your rewards before you add more points.

Remember, loyalty is a trust engine, not a discount engine (Gartner via CX Dive: trust engine). If you make it easy and relevant, customers will stick around. If you make it complicated, they'll just let their points expire—and eventually, they'll let you expire too.

Sources

• Euromonitor - https://www.euromonitor.com/
• HBR: Stop Trying to Delight Your Customers - https://hbr.org/2010/07/stop-trying-to-delight-your-customers
• Bond Loyalty Report 2024 - https://bondbl.com/news/the-bond-loyalty-report-celebrates-those-succeeding-in-loyalty/
• Bond Loyalty Report 2025 - https://bondbl.com/news/the-bond-loyalty-report-released-in-collaboration-with-visa/
• Antavo US Loyalty Trends 2025 - https://antavo.com/blog/us-loyalty-trends/
• Retail Gazette (Antavo 2026) - https://www.retailgazette.co.uk/blog/2026/02/more-than-a-quarter-of-loyalty-points-go-unspent-says-new-research/
• Rivo: Amazon Prime Loyalty Program - https://www.rivo.io/blog/amazon-prime-loyalty-program
• Smile.io performance benchmarks - https://help.smile.io/en/articles/12109028-understand-performance-benchmarks
• AMA: Referral Contagion - https://www.ama.org/2026/03/02/referral-contagion-capturing-the-full-roi-of-referral-programs/
• Gartner via CX Dive: trust engine - https://www.customerexperiencedive.com/news/loyalty-program-discount-engine-trust-differentiation/822528/