Blueprint

Real-Time Product Personalization

Deliver context-aware experiences in real-time with Snowplow Signals and/or other best-in-breed technologies.

What is Real-time Product Personalization?

Real-Time Product Personalization tailors experiences—like offers, recommendations, or UI—while the user engages with a digital product. By streaming behavioral data as it’s collected, teams can evaluate context in real-time and deliver in-session updates that feel immediate and relevant. The following patterns combine Snowplow’s rich event data with the real-time engine of your choice—Snowplow Signals, a custom service, or third-party tools like ML feature stores. The designs are fully composable, so you can optimize each layer for speed, scale, and control.

Key Benefits

In-session Intelligence

Deliver personalized content, offers, or UI updates in real time based on historical context and in-session activity.

Flexible Architecture

Use Snowplow Signals or plug in your own stream processor, feature store, or API layer.

Data You Control

Track, model, and serve real-time attributes from your own cloud—no black boxes or vendor lock-in.

Fast iteration

Launch new personalization logic in code or config—no waiting on slow vendor release cycles.

Explore Real-time Personalization Blueprints

Choose from these proven architectural patterns to build your real-time solution, each leveraging different components of Snowplow's Customer Data Infrastructure and Signals.

Real-time Event Streaming & Processing

Collect and process data in real-time, and forward to real-time processor to populate a low latency state store and API to personalize your application