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

“Having Snowplow helps the business. For sales, it can be an increase in revenue because of the audience we are able to provide; for marketing, better insight into users and how they can become more engaged.”

"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 …

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

“The Snowplow framework has become indispensable to understanding the Picnic app usage and allowing us to focus on the most impactful features.”

“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."

“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.”

“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.”

“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 …

"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.”

“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 …