Delivering dynamic digital experiences requires combining real-time behavioral data with historical customer context to personalize every interaction.

Dynamic Experience Types:

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Infrastructure Requirements:

• Real-time behavioral data collection across all touchpoints
• User attribute computation (both streaming and batch)
• Low-latency APIs to serve context to applications
• Integration with AI/ML models for predictions

With Snowplow, brands collect comprehensive behavioral data across web, mobile, and server, then use Snowplow Signals to compute and serve user attributes in real time. Companies like Burberry use this infrastructure to power 40+ personalization models covering product recommendations, propensity scoring, and lifetime value prediction—enabling in-store advisors to personalize service based on online browsing behavior.

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