48 Snowplow Testimonials

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  • "We needed reliable, scalable and flexible data collection. Taking advantage of Snowplow was a no-brainer – it meant we didn’t have to reinvent the wheel, and we could concentrate on getting value out of our data downstream.”

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

  • "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.”

  • "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 support from the analytics team.”

  • "The model tells us which users we should target for WhatsApp.”

  • “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 be asking of that data, and are we going to be able to provide the answers.”

  • "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.”

  • “Without Snowplow data, a data-driven approach to systematically improving retention would not be possible.”

  • "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.”

  • “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.”