“Snowplow has blown Nordstrom’s minds in speed and range of data, offering complete extensibility of batch and real-time feeds and schemas in hours and seconds, respectively. With a small but dedicated team of engineers, we were able to replace our bulky and expensive third-party solution with one custom tailored to our needs and satisfaction. There’s simply no going back.”
“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 be asking of that data, and are we going to be able to provide the answers.”
“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 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.”
"When we attempted to integrate data from Adobe Analytics into our existing platform, we encountered significant processing and performance issues.”
"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 new asks and challenges.”
“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 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 player feedback and elevating our product decisions.”
“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.”
"With data you solve marketing, advertising, and editorial questions you improve your digital products."
“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 that empowers you to take the next step.”
“Everything happens with data. Snowplow’s event based approach makes it easy to create new events and schemas on the fly.”
"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 personalized NextGen customer experience (CX).”