Why Rokt’s AI Technology Outperforms Traditional Digital Channels at Checkout

The evolution of checkout optimization has reached an inflection point. While early efforts focused on reducing friction through streamlined forms and simplified processes, the next generation of revenue growth comes from AI-powered relevance deployed at the moment of highest customer engagement.

Baymard Institute data shows that 18% of users abandon purchases due to checkout complexity, with the average checkout containing 11.3 form fields. However, addressing friction alone leaves significant revenue on the table. Rokt’s approach combines streamlined experiences with intelligent personalization to capture incremental value from every transaction.

The performance differential proves striking. Rokt Ads achieves 4.03% click-through rates and 6.32% conversion rates globally, substantially outperforming traditional digital channels. This success stems from engaging customers during the transaction moment, when they have payment information readily available and are already committed to purchasing.

McKinsey research demonstrates that companies excelling at personalization generate 40% more revenue from those activities compared to average performers. More specifically, AI-driven product recommendations contribute to 35% of total e-commerce revenue across major platforms, with personalized experiences increasing conversion rates by 26% on average.

At checkout specifically, AI relevance takes several strategic forms. Dynamic product recommendations suggest complementary items aligned with the current purchase. Payment page offers might present subscription services, loyalty programs, or third-party promotions matched to customer preferences. Confirmation page experiences deliver relevant post-purchase offers when satisfaction peaks and receptivity to additional value remains high.

Rokt’s technical infrastructure enables this sophisticated decisioning at scale. The platform analyzes 1.95 trillion data points annually to determine the next best action for each user, processing over 7.5 billion transactions projected in 2025. This massive scale creates continuous learning opportunities that improve outcomes for all network participants.

Implementation strategies should focus on several key areas. Starting with consented first-party data ensures privacy compliance while enabling meaningful customization. Prioritizing the highest-intent moments, particularly checkout and post-purchase, maximizes impact. Continuous testing and iteration allow AI personalization to improve over time, as what works for one audience segment may not translate to others.

The competitive landscape demands action. AI in the e-commerce market reached $7.57 billion in 2024 and is projected to exceed $9 billion in 2025, reflecting rapid adoption across the industry. As 77% of e-commerce professionals now use AI daily, competitive advantage increasingly depends on execution quality rather than simply having AI capabilities.

Rokt’s network effects demonstrate this principle. By connecting thousands of retailers with thousands of brands, the platform creates larger datasets that enable more accurate predictions and better performance over time. This advantage compounds as the network grows, making early adoption increasingly valuable for participants seeking to stay ahead of competitors already capturing incremental value from the transaction moment.