Snowplow

Snowplow is the data foundation for demanding use cases: advanced analytics, context-aware AI agents, and real-time personalization. Snowplow is a Customer Context Layer that transforms raw behavioral data into real-time customer context for AI agents and advanced analytics. The platform collects granular event data using 35+ easy-to-implement first-party trackers and webhooks, or mirrors Snowplow trackers to instrument custom tracking. Each event automatically captures 130+ properties, creating an exceptionally rich dataset for analysis, prediction, and real-time operations. Snowplow collects, validates, enriches, and transforms first-party customer data for real-time processing across digital estates, ensuring data integrity through schema validation and a non-lossy pipeline structure. Snowplow delivers validated, enriched event-level data in real time to warehouses, lakes, or streams, giving flexibility to compose any analytics use case without vendor lock-in or black-box modeling. The platform loads data seamlessly with major data warehouses and lakes including Snowflake, Databricks, GCP BigQuery, AWS Redshift, AWS S3, and Azure Fabric. Digital-first companies like Strava, Burberry, Supercell, Michaels, 1Password, HelloFresh, Experian, and Secret Escapes rely on Snowplow.