Serve each visitor the most relevant content automatically

AI-powered interest profiling technology generates first-party intent data profiles for all visitors, even if the visitor is anonymous.

This real-time interest profile at the individual level serves as the foundation for our 1:1 recommendations.

Each new interaction updates a visitor's interest profile in real-time, with most recent interactions carrying more weight than older ones.

Recommendations are also updated in real-time as the interest profile driving the recommendation algorithm has now changed.

Easily configure each recommendation block to suit your specific design and configuration preferences.

Popular use cases include the ability to filter recommendations by eligibility attributes of the user or to filter recommendations down to a specific asset type.

Clearly see the impact of recommendations with measurement dashboards for each widget delivery.

Built-in comparison of personalized vs. unpersonalized click-through-rates shows the impact of recommendations in real-time.

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