Turn browsing signals into buying moments with AI agents that personalize every path to purchase. In real time.
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Close the gap between “known” and “first buy” with agentic decisioning that removes the exact barrier holding someone back.
Convert more high-intent visitors by turning hesitation into action with the right nudge in real time.
Intelligently grow first-purchase revenue by offering the right incentive, not the biggest one.
Recognize repeat engagement, product views, and category interest in real time to pinpoint interest.
Agentic intelligence evaluates purchase readiness, product affinity, and discount sensitivity across visits and channels so you act on real likelihood to buy.
Use agentic decisioning to assess purchase readiness and select the message, offer, or recommendation most likely to convert.
Instead of static rules or blanket discounts, let AI leverage your guardrails and existing predictive models to make the right move.
Deliver the right offer, recommendation, or motivation instantly on-site or extend it across web push and retargeting using the same unified profile intelligence.
Agentic orchestration aligns timing, channels, and incentives while feeding outcomes back into the profile and models, continuously improving the next decision.

Growth Plays
When you understand every customer and act fast, growth compounds across the entire journey.
Lookalike Audience Expansion
Intent-Based Targeting
AI Discovery Optimization
Anonymous Visitor Identification
Progressive Profiling
Vwam
First-Purchase Acceleration
Abandon Cart Recovery
Order Value Expansion
Customer Reactivation
Loyalty Tier Progression
Smart Replenishment Upselling
Customer Drop-off Prediction
Advocacy Growth
First-Purchase Acceleration is a conversion strategy that uses real-time, agentic decisioning to turn known non-buyers into first-time customers. It identifies hesitation during the consideration phase and selects the right recommendation, offer, or motivation to remove the barrier to purchase, reducing time to first purchase and increasing conversion rates.
First-Purchase Acceleration is different from Cart Abandonment Recovery because it engages known non-buyers during the consideration phase, before they add anything to cart. Cart Abandonment Recovery activates after a consumer adds items to their cart and leaves, while First-Purchase Acceleration identifies hesitation earlier and delivers the right guidance or incentive to convert before abandonment ever happens.
First-Purchase Acceleration is different from Intent-Based Targeting because it optimizes conversion decisions, not media spend. Intent-Based Targeting determines who to retarget and where to allocate paid budget based on intent scoring. First-Purchase Acceleration determines what to deliver—selecting the right offer, recommendation, or incentive to convert a known non-buyer into a first-time customer.
You can improve product discovery with AI by providing structured, current product and offer data that AI assistants can easily access, interpret, and use when generating recommendations.
AI determines the right offer or recommendation by evaluating purchase readiness, product affinity, and discount sensitivity to determine the action most likely to convert. Based on those signals, it selects the appropriate recommendation, incentive, or motivation within marketer-defined guardrails.
First-Purchase Acceleration reduces time to first purchase by identifying hesitation in real time and responding with the action most likely to drive conversion. By removing the barrier between interest and action, it shortens the number of days or interactions required for a first purchase.
Use the First-Purchase Acceleration Growth Play when known customers are engaging but haven’t made their first purchase. It’s designed to reduce time to first purchase by delivering the right recommendation, offer, or motivation during the consideration phase, before cart abandonment.