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How Afterpay's Partnership Wit...When Afterpay decided to expand its advertising business, the company faced a problem that e-commerce platforms encounter repeatedly: how do you generate meaningful revenue from a checkout experience without eroding the trust that made customers choose you in the first place? The answer, detailed in a Rokt case study published by the company, offers a close look at the mechanics behind one of the more carefully constructed partnerships in commerce media today.
Afterpay is a wholly owned subsidiary of Block, Inc., operating across the United States, Australia, the United Kingdom, Canada, and New Zealand. Its user base skews toward younger consumers who use the buy-now-pay-later model specifically because it feels less predatory than traditional credit. That brand reputation (transparent, flexible, consumer-first) is not incidental to Afterpay's growth. It is the business model. Any advertising layer introduced into the checkout flow carries a real risk of undermining the platform's foundational appeal.
That context makes the Rokt partnership significant. According to the case study, Afterpay worked with Rokt to surface highly relevant offers to shoppers during the checkout flow, not through blunt interstitials or attention-grabbing placements, but through real-time, AI-powered matching that presents offers only when they meet a relevance threshold. The goal was incremental revenue growth with no measurable degradation in the customer experience. The results documented in the case study are concrete: 32% year-over-year revenue growth, a 4.6% positive engagement rate with third-party offers (above Rokt's network average of 3.8%), and no negative impact on customer satisfaction or support metrics.
To understand how the Afterpay deployment worked, it helps to understand the framework Rokt has built its entire platform around. The company calls it the “Transaction Moment”, the window of customer engagement that spans from product selection through cart, payment, and confirmation. Rokt's argument, backed by data from billions of transactions, is that this window represents the highest concentration of intent, trust, and purchasing readiness in the entire customer journey.
Most e-commerce companies treat the cart and confirmation pages as operational necessities; forms to complete, receipts to send. Rokt's position is that they are, in fact, the most valuable real estate in digital commerce, and that the brand that treats them as such will consistently outperform one that doesn't.
That philosophy is reflected in how Afterpay describes the partnership's commercial logic. "The checkout experience is make-or-break for our customers, and that's exactly why partnerships like Rokt are critical," said Juliana Blazuk, Head of Ads Partnerships at Block, Afterpay's parent company. "Within the Afterpay app, we refuse to compromise on customer experience — every partnership must enhance, not distract from, the moment our customers are making purchasing decisions."
For Afterpay, integrating Rokt's technology into its checkout flow meant giving Rokt's AI system access to real-time, first-party transaction signals. The Rokt Brain, the company's machine learning engine, uses those signals to determine which offers a given shopper is most likely to engage with, and, critically, when to show nothing at all. That last detail matters. As Claire Southey, Chief AI Officer at Rokt, explained in a February 2026 press release, the system evaluates every potential third-party offer against a minimum quality threshold before serving it. If no offer clears that bar, the checkout experience remains clean.
"The best thing is to get out of the customer's way and let them complete the purchase," Southey said.
One of the more technically detailed aspects of the Afterpay-Rokt partnership is how data flows through the system. Afterpay's checkout handles sensitive financial information for millions of users who have specifically opted into a payment model built on transparency. Introducing advertising technology into that environment requires an architecture that prevents any first-party customer data from leaking to external parties.
Rokt's approach, which Southey describes as a "one-way door," means customer data goes in and is used to serve that specific partner's customers; it does not exit the system to enrich third-party data profiles or feed external advertisers. The company operates what it calls a closed network, with direct partner integrations and no reliance on third-party cookies. All of that is audited under ISO 27001, SOC 1, SOC 2, GDPR, and CPRA compliance frameworks, according to Rokt's published metrics.
That architecture is not just a legal requirement for Afterpay; it is a commercial prerequisite. A BNPL company whose advertising layer was found to be monetizing user data in opaque ways would face a far larger reputational problem than any amount of incremental ad revenue could offset. The privacy architecture Rokt provides is, in this context, a revenue-enabling feature as much as a compliance one.
The Afterpay case study is one data point within a much larger performance picture that Rokt has been documenting across its partner network. The platform is on track to power more than 10 billion transactions in 2026, serving 165 million monthly active users globally, including 104 million in the United States. The Rokt Brain processes more than 1.95 trillion data points annually to generate relevance decisions, according to the company's by-the-numbers overview.
Those numbers matter for what they enable at the individual partner level. When the training data comes from billions of transactions across 33,000+ active clients, including more than half of the largest global e-commerce companies, the relevance engine has a signal depth that a single-platform advertising system cannot replicate. A retailer adding offers to its own confirmation page is working with its own behavioral data. Rokt is working with cross-network patterns from Uber, Live Nation, Macy's, AMC Theatres, Hulu, and dozens of comparable platforms simultaneously.
For an advertiser, that network effect translates into performance metrics that stand apart from traditional digital channels. Rokt Ads delivers a 4.03% click-through rate and a 6.32% conversion rate globally, roughly 10 times the CTR of Google Display and four times that of Facebook Ads. For e-commerce partners on the monetization side, Rokt Thanks generates up to $500,000 in incremental profit per million transactions on the confirmation page, while Rokt Pay+ delivers up to $400,000 per million transactions on the payment page.
Afterpay's decision to work with Rokt arrived at a moment when the category called "commerce media" is being reconsidered at the highest levels of retail strategy. Retail media, the version of this that Amazon pioneered, is a mature business. Sponsored search placements inside a logged-in shopping experience are well understood. What is less settled is what happens outside the retailer's own native environment, on payment platforms, streaming services, entertainment venues, financial apps, where customer intent is high but the traditional retail media infrastructure does not exist.
That is the gap Rokt is designed to fill. An analysis published by The Silicon Review in March 2026 noted that Rokt's Chief Commercial Officer, Elizabeth Buchanan, has characterized 2026 as an inflection point for commerce media, where the winning strategy is "experiences designed around the highest-value moment in the customer journey." That moment, in Buchanan's framing, is not a social ad or a search result; it is when a customer has already decided to buy.
Fanatics, ranked No. 15 among North American online retailers by Digital Commerce 360, returned to the Rokt Network in late 2025 after previously exploring alternative solutions. Dataconomy reported in February 2026 that Fanatics selected Rokt to power AI-driven relevance across Fanatics.com and team and league sites globally. The return was widely read across the industry as a signal about where durable technology investment in e-commerce is concentrating. Backcountry had a similar experience: after briefly leaving Rokt to test competing platforms, the outdoor retailer returned and now generates $0.25 to $0.35 in incremental revenue per transaction consistently, according to a Rokt case study published in February 2026.
The Afterpay partnership is worth examining specifically because of the constraints that shaped it. Most e-commerce monetization deployments involve companies with some flexibility in how their brand is perceived. Afterpay has less of that flexibility than most. Its users selected a BNPL payment option in part because they wanted to avoid the extraction dynamics associated with traditional credit. Advertising that felt out of place would register more sharply for that audience than it might for users of a general-purpose marketplace.
The fact that the Rokt deployment at Afterpay generated measurable incremental revenue without a customer trust penalty reflects something important about the underlying technology. Relevance, when it is genuine (when an offer appears at the right moment for the right person) does not register as advertising in the way that irrelevant interruptions do. The customer who sees an offer they actually want at the moment they are most primed to act on it has a different experience than one who has to dismiss an offer that has nothing to do with what they just bought.
The partnership also evolved beyond its initial deployment. After establishing performance on the confirmation page via Rokt Thanks, Afterpay expanded into Rokt Pay+, which places targeted messaging directly on partner merchant checkout pages at the moment a shopper selects their payment method. Over the first two weeks of the Rokt Pay+ campaign, Afterpay drove net-new customer acquisition, reactivated lapsed users, and increased repeat purchases among loyal segments. Ankit Dutta, Data Science Lead for Commerce at Block, described the underlying dynamic: "Every interaction generates data, and every data point informs our next optimization. Our partnership with Rokt demonstrates the power of continuous experimentation, where A/B testing, behavioral analytics, and machine learning converge to drive measurable business outcomes while enhancing the customer journey."
That distinction is the entire premise behind what Rokt has built. The Ecommerce Fastlane noted in a recent analysis that Rokt's confirmation-page product generates up to $500,000 in incremental profit per million transactions, and that the merchants who see those returns are ones who have leaned into relevance governance, not just volume.
Rokt's performance context around the Afterpay case study is considerable. The company grew from $97 million in revenue in 2021 to $418 million by 2024, a 330% absolute increase and a 62.6% compound annual growth rate, earning the No. 87 spot on the
The company has also been investing in product infrastructure at a rate that suggests it expects to own significantly more of the commerce media stack going forward. $100 million annually goes into product development. Recent acquisitions of mParticle, Aftersell, and Canal extend Rokt's reach from the post-purchase moment into customer data management, cart-level upsells, and brand distribution, respectively. Retail Insider reported in February 2026 that Rokt's outcome-based model, where it returns $7 of every $8 in generated value back to partners, has become a key commercial differentiator as more enterprise brands evaluate monetization platforms on aligned-incentive terms rather than upfront fee structures.
The Afterpay case study documents a real result for a real partner operating under genuinely demanding constraints. But it also documents something broader: that the commerce media infrastructure Rokt has been building for over a decade can meet brands where they are, including the ones where the stakes for getting the customer experience wrong are highest.