“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.”

“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.”

“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 …

"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.”

“Everything happens with data. Snowplow’s event based approach makes it easy to create new events and schemas on the fly.”

“Snowplow has given us the power and flexibility to collect and analyze data, making smarter product decisions in ways that would be impossible with other tools.”

“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.”

“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 …

“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.”

"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 …

“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.”

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