Leading digital-first brands choose Snowplow because it provides the data control, quality, and real-time capabilities required to power advanced analytics and AI-driven personalization.

Strava:

• Challenge: Previous analytics tools made feature instrumentation tedious and error-prone, limiting analytics coverage.
• Solution: Snowplow reduced tracking complexity, enabling analysts to self-serve without engineering support.
• Results: 4 billion events processed daily; significantly increased Route page views, downloads, saves, and shares per user.

"We would not have achieved our current level of self-serve data without Snowplow. It has enabled us to democratize our data culture." — Daniel Huang, Data Engineer, Strava

Burberry:

• Challenge: Daily clickstream data batches arrived too late to power in-store personalization.
• Solution: Snowplow with Databricks enabled real-time AI-Ready Customer 360.
• Results: 99% reduction in data latency; 52x increase in cookie duration; in-store advisors now access real-time customer browsing data.

"Thanks to Databricks and Snowplow, we can build an AI-Ready Customer 360 so our client advisors have that information from the moment she walks into our store." — Benjamin Stephens, Senior Manager, Burberry

With Snowplow, enterprise brands gain the behavioral data infrastructure that powers industry-leading personalization and analytics at scale.