Personalization that ships as a product feature, not a third-party tag
We build recommendation engines and behavioral content ranking directly into your product data layer. Your users see what is relevant to them, and you own the model.
The problem
Sound familiar?
The solution
What we actually do
We instrument your product, build a feature store from your existing behavioral data, train a recommendation or ranking model, and ship a serving API your frontend calls directly. No third-party widgets, no data sharing, no black box.
What you get
What's included
The process
How it works
We audit your existing event tracking, close the gaps, and define the behavioral signals that will train the model.
We build your feature store and train a recommendation model on your data. We choose collaborative filtering or content-based ranking based on what your data can support today.
We deploy a serving API into your stack and wire it to your frontend. Results are ranked per user, cached intelligently, and returned in under 100ms.
We run A/B tests against the baseline, measure CTR and retention lift, and retrain on a schedule so the model improves as your user base grows.
Proof it works
The offer
Discovery scoping call required. Most builds deliver in 6 to 12 weeks depending on data availability.
Common questions