The strategy was simple. if card It was used In most cases, this generates the highest transaction volume and deepens the relationship between cardholder and issuer.
But that dynamic is beginning to change. Consumers now move fluidly between credit cards. buy now, pay later You can choose a plan, debit card, or digital wallet based on your situation, cash flow, and convenience. As payment options become more flexible, loyalty to a single card is waning.
As PYMNTS CEO Karen Webster wrote on Wednesday (March 11), consumers are increasingly managing their spending across multiple payment tools rather than committing to a single payment tool. card. In this environment, the challenge for issuers has shifted to influencing the moment consumers decide how to pay.
Banks and payment networks are increasingly turning to artificial intelligence and transaction data to meet needs such as: that The challenge of leveraging technology to personalize offers, align rewards, and align incentives around it Personal spending patterns.
Offer feed becomes the new battleground
Much of the innovation in credit card rewards is happening outside of the checkout flow itself. Instead, the competitive front is shifting toward an offer ecosystem that shapes buying behavior before a transaction occurs.
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“I think the true AI revolution in credit cards won’t necessarily happen at checkout.” genie waldenChief Marketing and Executive Advisor Rakuten Rewardshe told PYMNTS. “It’s happening in the offer feed.”
Traditionally, rewards programs have relied on broad categories such as travel, groceries, and meals. Although their structure is simple, designed Walden said this is the case for a hypothetical “average” cardholder whose spending patterns rarely match reality.
AI is starting to change this by analyzing large amounts of transaction data and behavioral signals to determine which merchants, discounts, and promotions are most relevant to each cardholder.
“For years, seller-funded offers have sought to match what sellers want to promote with what consumers actually want to buy,” Walden said. “AI is starting to fill that gap.”
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Instead of generic promotions, rewards platforms can now generate offers that reflect where consumers shop, how often they visit certain merchants, and the time of day and context in which purchases are made. The goal is to influence decisions early in the purchasing journey and shape what consumers see before they even reach the checkout page.
“Brands that understand how algorithms show up when deciding who to recommend will be the most successful in the future,” Walden said.
From static rewards to personalized incentives
AI is also changing the way issuers design compensation. AI systems allow incentives to be more dynamic and change based on behavior, rather than relying on fixed categories that remain the same for months or years.
Marte RauCo-Founder and CEO of Corporate Card Platform suppletold PYMNTS that early AI applications in rewards programs are focused on analyzing transaction data. customization Offers and category bonuses around the real thing spending pattern.
“Most of the early use cases we see involve analyzing transaction data to tailor merchant offers, discounts, and category bonuses depending on how the cardholder actually spends,” Lau said.
its ability allows for movement Beyond broad compensation categories towards More targeted incentives.
Instead of offering typical travel or dining bonuses, issuers can surface offers such as: real time When the cardholder is about to make a purchase at a store specific merchant or place. The result is a reward ecosystem built to influence consumers’ decisions precisely when choosing a payment method.
Walden said the long-term direction of the industry is toward an increasingly personalized reward experience.
“AI will enable us to move towards more localized and personalized experiences, with the offers we see being formed It depends on your actions and what the system learns about you over time,” she said.
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