“With Snowplow data, we set sales records five months in a row from when we started the ad tests.”

“Having access to the event-level data with Snowplow enables us to not only finely segment users, but also provide users with highly personalized adverts and experience.”

"Auto Trader loves open source technologies. Snowplow is an open source technology—we didn’t see the value of managing it ourselves, but we like the fact that we can contribute code.”

"From the beginning, I was able to see that it was a really flexible platform with the custom JSON schemas you can make that’s one of the primary reasons I went with Snowplow."

"With GA, you didn’t know when you’d get your data – it could be 3 or 5 hours. You just didn’t know. Even with 360, you didn’t have everything in minutes.”

"Before Snowplow, we had Google Analytics 360 and our behavioral data was not available in real time in our Snowflake warehouse or in our AWS infrastructure. Snowplow opens up a world of possibilities for us because we can provide data to our team to analyze trends in campaigns to analyze …

“We would not have achieved our current level of self-serve data without Snowplow. It has enabled us to democratize our data culture, significantly improving our analytics coverage and deepening our insights.”

“Often we think a lot about operations, observability, all the things you need to make that thing work for your specific use case but we didn’t always focus on being able to get the data to analysts, what the shape of those queries would be and what questions we would …

"Instrumenting a feature was something that was difficult and time consuming for our analysts, product engineers, and data engineers. And this limited the appetite for vertical teams to add tracking to their features. We thought that if we could reduce the complexity of event tracking, instrumentation coverage would improve dramatically.”

"With Snowplow data, we were able to measure project success through an A/B test. In our experiment, we hypothesized that our new Route Detail Page will help Strava users feel like they have enough information to take the next step with a route, resulting in increased engagement with the product.”

“Snowplow has given us the power and flexibility to collect and analyze data, making smarter product decisions in ways that would be impossible with other tools.”

“Once we figured out how easy it is to add trackers, we quickly started adding all kinds of events to understand how users browse and search on our site. We even moved all our infrastructure tracking and server-side events to Snowplow.”

"A shopper who browses products on Burberry.com is telling us something about what she really wants. Thanks to Databricks Lakehouse Platform 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 — and can deliver a …

“Snowplow has a lot more power and flexibility, and the thinking around event structures and event schemas is miles ahead of the industry. The Snowplow dataset has become part of our core strategic offering.”

“Snowplow has been helping us centralize our data and build the single customer view since day one. As we get closer to pinpointing precisely, for example, the booking value of a particular segment, and more complex data analysis, Snowplow will continue to be what we need.”