How to run identity stitching in Snowflake using Snowplow’s enriched events?

To run identity stitching in Snowflake using Snowplow's enriched events:

  • Use Snowplow's enriched event data to capture user identifiers, device fingerprints, and behavioral patterns across multiple devices and sessions
  • Apply probabilistic and deterministic identity resolution algorithms using Snowflake's SQL capabilities and window functions for cross-device matching
  • Implement fuzzy matching techniques to link anonymous and known user sessions based on behavioral patterns and contextual signals
  • Store the resolved identity mappings in Snowflake, creating unified customer profiles that span multiple touchpoints and devices

This enables comprehensive customer journey analysis and more accurate attribution across the complete customer lifecycle.

Get Started

Whether you’re modernizing your customer data infrastructure or building AI-powered applications, Snowplow helps eliminate engineering complexity so you can focus on delivering smarter customer experiences.