Introducing Real-Time Personalization: Adapting to your users in the moment

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Personalization has long been about learning from the past, collecting browsing history, purchases, or long-term preferences to inform the next interaction. Where this falls short is that it excludes new or anonymous users who have no history to draw from, and it often misses the mark in the moment, when users can shift intent within a single session—exploring new categories or signaling strong purchase intent you can’t afford to ignore. Traditional personalization struggles to keep up, leaving users frustrated and businesses losing opportunities.

Where Real-Time Personalization Fits in

Real-Time Personalization captures user behavior within sessions and adapts to experiences in real-time. This means responding to what users are doing right now, not just what they’ve done in the past.

With Real-Time Personalization, you can:

Shorten the path to discovery by surfacing what matters most in the moment.
Reduce abandonment with relevance that evolves as intent shifts.
Maximize conversions by reacting instantly to buying signals.
Adapt across categories, ensuring relevance even as shoppers explore new paths.
Keep users engaged as their behavior changes during a session.
Turn every click and browse into an opportunity to drive impact.

Built for business impact

Real-Time Personalization is designed to deliver impact without adding engineering burden. It works seamlessly alongside existing data, adapting dynamically while respecting privacy and performance requirements.

What this means for you

Every click, every browse becomes a signal you can act on. By responding to those signals immediately, Real-Time Personalization surfaces the most relevant products, shortens the path to discovery, and ultimately turns more sessions into conversions.