"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."

“Snowplow provides all of our event data in a data model we own end-to-end, and can easily shape to fit our organisational needs. Snowplow has really helped accelerate our analytics; now we can quickly answer questions that would have required a tremendous amount of engineering effort with our previous solution.”

"The model tells us which users we should target for WhatsApp.”

"With the move to virtual events we had to provide other layers of analytics. Our organizers were suddenly interested in session view duration and attendee engagement. Sponsors began monetizing the visits they had to their virtual booths. Transforming to the digital era we were now living in came with many …

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

“Many people have this hope that from day one they will instantly have all the answers, but Green Building Supply has invested in a year-long progression of starting by answering one small question, and building on the answers incrementally and getting to the point where you have a meaningful result …

"Sometimes the journalists and editors would ask questions that we simply didn’t have the data to answer.”

"We needed reliable, scalable and flexible data collection. Taking advantage of Snowplow was a no-brainer – it meant we didn’t have to reinvent the wheel, and we could concentrate on getting value out of our data downstream.”

“Without Snowplow data, a data-driven approach to systematically improving retention would not be possible.”

“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.”

“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.”

"With data you solve marketing, advertising, and editorial questions you improve your digital products."