"We integrated Snowplow with the Growthbook platform to give us the ability to define feature flags, run experiments, measure performance, and analyze results – all within the same ecosystem. As we increasingly incorporate experimentation in our culture, our product managers are able to set up and run experiments with minimal …

“We couldn't combine our in-house tracking data with other types of information, like who made the request, what did they do, where did they come from, had they been on the site before, or if they were a member.”

“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.”

“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 …

“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 …

"We needed to have better control of the data to meet our requirements in terms of compliance. We really wanted to make sure we could track more efficiently—in the past, we had to limit our tracking based on what was available.”

“The versatility [of Snowplow] allows us to take the raw data, model it, transform it, expand it, enrich it, and come out the other end with a data set that's flexible for all of our product teams. It's highly targeted information. But through that enriching process, data stitching, identities, we …

“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 …

“Full ownership and flexibility of your data pipeline. Decide what you want to track when and where, across platforms and devices in a scalable and unified manner. Out of the box it works but when optimizing it to your needs, you will see the true value. Enrich tracking with almost …

“The gist is that once you have all the relevant data for each event, which is possible with Snowplow, you can do whatever you want with it. Snowplow’s importance will only continue to grow as we customize our pipeline.”

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

"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 …

“It was especially important for us to calculate conversion rates accurately for our clients, so they could compare us to other job boards. This wasn’t possible before Snowplow.”