“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 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.”
"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.”
“PEBMED’s data evolution is growing more sophisticated, thanks to Snowplow. We can see using Snowplow for everything from content recommendations to tracking internal applications and APIs to better, more granular joining up of data from individual users.”
“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 our needs and satisfaction. There’s simply no going back.”
“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.”
“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.”
“Snowplow has been helping us centralize our data and build the single customer view since day one. As we get closer to pinpointing precisely, for example, the booking value of a particular segment, and more complex data analysis, Snowplow will continue to be what we need.”
“With Snowplow, we are empowered to make more informed, data-driven decisions that allow us to iterate much faster while gaining a multi-dimensional view of the user experience now and in the future.”
“Our reliance on Snowplow data is increasing, using it for reporting, for in-depth insights and to answer more complex questions. Snowplow lets us elevate our reporting and our business to the next level.”
“Without Snowplow data, a data-driven approach to systematically improving retention would not be possible.”
"With data you solve marketing, advertising, and editorial questions you improve your digital products."