Grocery loyalty has the lowest behavior-change rate of any industry: 58%

Grocery loyalty has a problem hiding in plain sight.

Usage is almost unparalleled. Shoppers scan their cards, open their apps, redeem offers, and accumulate points week after week. Yet that high level of participation does not necessarily translate into high-impact behavior. 

In fact, grocery loyalty has the lowest positive behavior-change rate of any of the industries measured, at just 58%.

That is the paradox: grocery loyalty is everywhere, but it is not always doing enough.

For many shoppers, the loyalty program has become less of a reason to choose a retailer and more of a mechanism for getting the price they were already looking for. The barcode gets scanned. The discount gets applied. The transaction ends.

The program is working operationally. But is it actually changing behavior?

Want to see the bigger picture?

Comarch's Loyalty as a Growth Engine in the AI Era explores the industry benchmarks, emerging AI applications, and strategies brands can use to turn loyalty into measurable growth.

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When loyalty becomes a discounting mechanism

The distinction matters.

A loyalty program should not simply recognize behavior that was already going to happen. Its commercial value comes from influencing what happens next: where a customer shops, what they buy, how much they spend, which brands they choose, and whether they return.

Grocery has an unusually difficult version of this challenge because shopping frequency creates an illusion of engagement.

A customer may visit the same supermarket every week for years, but that does not necessarily mean the retailer has earned their preference. Grocery shoppers are often promiscuous by necessity. They compare prices, promotions, convenience, and availability across multiple retailers. A loyalty card can follow them into the store without ever becoming the reason they went there.

The data reinforces the problem. 64% of non-participants say they do not enroll because they do not shop frequently enough to earn rewards.

That reveals a fundamental flaw in the traditional loyalty model: it assumes customers must first behave like loyalists before they can experience meaningful value.

But what if loyalty should work the other way around?

What if the program gave customers a reason to change their behavior before asking them to prove their loyalty?

The most AI-researched loyalty category: Grocery

There is another force accelerating this shift: artificial intelligence.

Consumers are no longer relying exclusively on retailers to tell them where the best value is. They can ask an AI tool to compare offers, identify deals, optimize rewards or help determine where their next shop should happen.

And grocery is leading that behavior.

46% of grocery shoppers in the US and 50% in the UK are already using AI tools to hunt for deals and optimize rewards, making grocery the most AI-researched loyalty category globally.

That should be a wake-up call for grocery and CPG leaders.

The question is no longer whether AI will influence the shopping journey. It is whether the retailer's loyalty strategy will be part of that influence or whether AI-native loyalty will simply become another tool customers use to find the best deal somewhere else.

Because when the shopper has an intelligent agent working on their behalf, a generic "10 points per dollar" proposition starts to look remarkably unintelligent.

From mass offers to micro-moments

This is where AI has the potential to fundamentally change grocery loyalty. Why? Because AI is changing what’s possible in retail loyalty as a whole. 

Traditional loyalty segmentation tends to group customers into broad buckets: frequent shoppers, occasional shoppers, high-value customers, lapsed customers, and so on.

Useful? Yes.

Enough? Increasingly, no.

AI can move loyalty from segmentation to micro-segmentation, identifying signals and patterns at a level that allows the program to respond to what an individual customer is likely to do next.

Imagine a shopper who regularly buys coffee, but whose purchase frequency has started to decline.

A traditional program might wait until that customer becomes "lapsed" and then send a generic offer.

An AI-powered program could recognize the change much earlier. It could identify the likely next purchase window, understand which brands the customer typically buys, assess current inventory and promotions, predict what customers are likely to buy next, and determine the incentive most likely to influence their basket.

That is a very different proposition.

The first is marketing after the fact.

The second is intervention at the moment, when behavior can still be changed.

Stop making customers wait for loyalty

The same principle applies to rewards.

Points-based programs often ask customers to accumulate value over time before they receive anything meaningful in return. That model can make sense for categories with infrequent purchases. In grocery, where transactions happen constantly, it can feel strangely disconnected from the pace of the customer relationship.

AI creates an opportunity to make loyalty feel immediate.

Instead of simply telling a shopper that they are "125 points away" from a future reward, a program could identify an opportunity in today's basket and provide relevant value immediately.

•  Buy the product you already purchased and unlock an offer.
• Add the complementary product and receive a benefit.
• Visit a nearby store when you are already in the area and trigger a relevant incentive.
• Choose a particular CPG brand and receive a personalized reward based on your history.

The difference is subtle but important: the reward becomes a mechanism for influencing behavior, rather than merely paying customers for behavior that has already happened. 

This is how the game is changing – and how more and more brands are opting to replace traditional loyalty strategies with AI integrations. 

The shelf is the new battleground

This becomes even more powerful when loyalty data, AI and real-time context converge.

Consider location.

A shopper is near a store. Their purchase history suggests they are due for a routine shop. Their usual basket contains several categories currently on promotion. Rather than waiting for them to open an app, the loyalty ecosystem can recognize the opportunity and deliver a timely, relevant prompt.

Or consider the basket itself.

A customer has selected several ingredients that suggest they may be preparing a particular meal. AI can identify complementary products, relevant promotions or a CPG brand opportunity before the shopper reaches the checkout.

That is where loyalty starts to behave less like a points ledger and more like a growth engine.

It can influence share of wallet at the shelf, not simply measure it at the till.

Grocery loyalty needs to become predictive

The future of grocery loyalty is therefore not about adding more rewards, more tiers or more coupons.

It is about making the program smarter.

The winners will be the organizations that can move from asking:

"What did this customer buy?

to:

"What is this customer likely to do next and what can we do now to influence it?"

That is the real promise of AI in loyalty and how predictive AI can prevent churn over time.