Session AI

Session AI focuses on a specific and expensive ecommerce problem: blanket discounts handed to shoppers who would have purchased at full price. Instead of applying the same promotion to everyone, it continuously predicts purchase intent as each session unfolds, reading signals such as returning visitor status, engagement trends, product views, site behavior, session history, and cart activity. Those signals feed the Session Marketing Agent, which decides whether an intervention can actually change the outcome.

From that prediction the platform takes action. High-intent shoppers receive no offer so margin is preserved, influenceable shoppers receive a targeted incentive such as a welcome discount or free shipping, and at-risk visitors may get a win-back message. Marketers set the goal — revenue, conversion, or margin — and the agent operates inside the guardrails they define, building experiences in the included studio and testing them through agentic A/B testing.

Session AI reports typical outcomes of around a 5% increase in conversion rate, a 20% reduction in promotion spend, and a 15% increase in revenue per visitor, the exact figures varying by retailer. It is sold to enterprises on a contact-for-pricing basis and serves retail and ecommerce along with travel, hospitality, and telecommunications.