Customer Loyalty: Definition and Impact on Prices

Customer loyalty refers to all the actions that encourage a customer to return to the same store rather than shop at a competitor’s. In retail, this is most often achieved through a loyalty program: loyalty cards, reward points, member-exclusive prices, gift cards, or personalized offers. It aims to achieve three outcomes: increasing the frequency of visits, expanding the average transaction value, and reducing customer defection to competitors. It also relies on service quality and product selection, but when it comes to pricing, every benefit offered is a discount that must be justified by additional sales.

Customer loyalty is the goal; the loyalty program is just one means among many. A customer may be loyal to a retailer because of its location, product selection, quality of service, or price image—without ever using a loyalty card. The loyalty program formalizes the relationship: it identifies the customer, tracks their purchases, and grants them benefits. Above all, it generates individual purchase data, which is useful for understanding consumer behavior. But it does not create loyalty on its own: a generous program cannot compensate for prices deemed too high on key products.

Yes, loyalty discounts are part of the markdown in most retail chains. Any sale made below the original selling price results in a markdown, whether the discount comes from a promotion open to everyone or a benefit reserved for cardholders. A credit balance loaded onto a card also counts as markdown once it is spent. These amounts are often tracked by the marketing department but underestimated in discount budgets. Tracking them alongside promotions allows you to evaluate each strategy based on its cost and return.

A price reserved for cardholders improves the price image among customers who benefit from it, provided it is visible and easy to understand on the shelf. For other customers, it can have the opposite effect: the retail price appears higher next to the member price. The effect also depends on the products chosen. A discount focused on key products—whose prices customers are familiar with—has a greater impact on perception than scattered discounts on items that are rarely compared. Finally, it is important to ensure that the retail price remains competitive with local competitors.

A loyalty program is profitable if the additional sales it generates yield a higher margin than the benefits it provides. The challenge lies in measuring those additional sales: a loyal customer would often have made the purchase anyway. The most reliable method is to compare customers exposed to an offer with a control group that did not receive it, similar to how one measures the incremental impact of a promotion. It’s also important to factor in the program’s operating costs, not just the discounts. A margin after benefits that declines without an increase in purchase frequency is a red flag.

Not necessarily, and that’s the whole point of loyalty card data. An identical benefit for everyone primarily benefits the most frequent customers—who would have made a purchase anyway. Targeted offers focus the discount where it can change behavior: customers who space out their visits, customers who never shop in a particular aisle, or new cardholders. Personalization has its limits: it must remain understandable, respect the consent given for data use, and not undermine the brand’s pricing image. A core set of common benefits and a few targeted offers are often sufficient.

Loyalty benefits must be managed within the same timeline and budget as promotions. The most common risk is double counting: applying a member price to a product already on sale can push the discount far beyond what was planned, without a corresponding increase in sales volume. Rules for combining offers must be established in advance— product by product , or by product family. The actual discount depth is then calculated, including loyalty benefits. Simulating a campaign before its launch—by factoring in both elements—prevents the real cost from only becoming apparent at the end of the month.

Four metrics are sufficient to manage price-based customer loyalty: cardholders’ visit frequency, their average basket size, the share of revenue generated by the card, and the margin after benefits. The first two measure the effect on behavior, while the latter two measure its cost. These metrics should be analyzed over time and by customer segment rather than as an overall average. An increase in the share of revenue generated through the card without a corresponding increase in visit frequency often indicates that the program is rewarding purchases that would have occurred anyway.