Real-Time Product Personalization & AI Agents Powered by Snowplow Signals

See how Snowplow Signals powers real-time, in-session personalization and context-aware AI agents. In this technical demo, a travel booking site instantly adapts its UI, content, and AI assistant responses based on live user behavior — no manual segmentation required.

What you’ll see:

  • Real-time UI updates that reflect live filtering and browsing
  • Dynamic content, imagery, and recommendations adapting to user intent
  • An AI travel co-pilot that tailors suggestions using behavioral context
  • Instant profile updates showing budget vs. luxury travel preferences
  • A single behavioral data layer powering both personalization and agentic experiences

This demo shows how Snowplow Signals captures behavioral signals like search filters, content engagement, and price sensitivity — then uses that data to drive dynamic, one-to-one product experiences and context-aware AI interactions.

Perfect for product managers, engineers, and data teams exploring in-session personalization, AI-driven experiences, and real-time behavioral data pipelines.

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