Affirm launched AdaptAI, a new AI-powered promotions platform designed to deliver personalized financial benefits directly at the point of purchase. AdaptAI can deliver personalized perks like exclusive APR rates, special repayment terms, and immediate cash savings, which are available to customers via the Affirm App and Affirm Card.
Vishal Kapoor, Affirm’s SVP of Product, said:
“Unlike conventional credit card rewards—which are opaque, static, and subsidized by the financially vulnerable—AdaptAI dynamically matches the right benefit to the right consumer at exactly the right moment. Consumers no longer need to spend more, keep track of, or wait months to recoup their rewards. Now, they can immediately receive tailored, transparent value at the time of purchase. This is only made possible with Affirm’s AI-powered technology and real-time underwriting, and builds on what we do best: delivering customized payment options that help consumers take their money further.”
Here are two examples of the type of offers merchants can present shoppers with:
- A first-time buyer making a $500 purchase might be offered 0% APR over 12 months, saving them around $120 in interest.
- A loyal customer might receive a 24-month installment plan at 10% APR — paying slightly more but being offered a longer payment term based on their shopping history.
Affirm has leveraged AdaptAI across its own consumer products, including the Affirm App and Affirm Card, and says it drove nearly 10% incremental improvements in conversion rates. Now the company is making the promotions platform broadly available for its merchant partners.
Kind of cool, but also, yikes! Now customers will have to view product pages from an Incognito browser to compare financing terms?
E-commerce personalization can be a good thing, but it can also lead to implied habits and debt traps. You finance one item for two years, and suddenly you're being offered to amortize all your purchases for 24 months! It's like jeez — I wanted to pay off my laptop over two years, not my DoorDash.
