"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.”

“With Snowplow data we can show a customer that 95% of actions taken during a video happen between 0:30 and 0:35 seconds. The customer can then learn what works, what doesn’t, and make the needed changes to drive significant increases in KPIs.”

“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.”

"We needed something better than Google Analytics because we weren’t gaining meaningful insights and building a complete customer picture with the tool.”

"When we attempted to integrate data from Adobe Analytics into our existing platform, we encountered significant processing and performance issues.”

“With Try Snowplow, it was all about proving to stakeholders that it was easy for us to do what we wanted with our data, and that tracking from all our domains in a unified way was going to be a game changer for us.”

“We had plenty of data already before Snowplow was introduced, but that data was mostly coming from our game servers. What we did not have was the data from the client side. And, even more importantly, we didn't have any data from various websites that we had.”

“Snowplow has been crucial for Supercell. It gives us deep insights into how players engage with our games and events. This has empowered our teams to build better experiences, especially for Brawl Stars, while driving more collaboration and aligning us closer to our community. It’s been a game-changer for understanding …

"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."

“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.”

“With Data Connect, we’re strengthening our partnerships by sharing valuable customer insights. When airlines see the insights we can provide about their customers’ behavior on our platform, they recognize the added value we bring to the relationship.”

"We use Snowplow for analytics. We build dashboards, tracking, and we also have a data catalog. With Snowplow, we are able to collect data on subscriptions, passive and active engagement. I look at the data daily and share insights with the entire organization about what’s working and what’s not, and …