We start with session-based signals the moment a shopper lands. Browsing behavior, category affinity, and real-time intent reveal preferences within minutes — no prior history needed. As shoppers return and engage, the system builds a richer profile and recommendations become increasingly precise. New visitors still get a meaningfully personalized experience from visit one.

We’re built to operate within your consent and compliance framework. Personalization runs on first-party behavioral data, for e.g., browsing, sessions, and purchase signals without relying on third-party cookies. We work with your legal and technical teams during onboarding to ensure data handling meets your regional requirements, including GDPR and CCPA.

Yes. We’re designed to complement your existing stack, not replace it. Our personalization engine connects with platforms like Klaviyo, Dotdigital, Cordial, and Attentive for email and SMS, and our APIs are built to integrate with CRMs and CDPs your team already relies on for customer data.

Very little. Once configured, the AI handles ranking, recommendations, and re-engagement automatically and adapting as shoppers interact with your site. Your team sets the strategy and guardrails; the system does the work. Most teams find they spend significantly less time on manual rules than they did with their previous approach.

Native platform personalization typically offers basic “recently viewed” and “frequently bought together” modules with limited signal inputs. We go further in personalizing search rankings, category page ordering, recommendations, and marketing channels simultaneously, all from a single behavioral data layer that learns and improves across every session and touchpoint.