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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