48 Snowplow Testimonials

"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 present it in our all-hands meetings.”

"Snowplow has been integral to HeyJobs’ growth, powering marketing attribution, product experimentation, and CRM optimization. The platform’s flexibility and Snowplow’s support team have been invaluable as we scale to become Europe’s top talent platform.”

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

"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.”

“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.”

"Auto Trader loves open source technologies. Snowplow is an open source technology—we didn’t see the value of managing it ourselves, but we like the fact that we can contribute code.”

“Snowplow’s rich, granular data enabled us to build sophisticated audience intelligence and double the efficiency of our clients’ trailer advertising campaigns.”

“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.”

"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).”

"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."

"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.”