48 Snowplow Testimonials

“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.”

"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.”

“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.”

“With Snowplow data we can show a customer that 95% of actions taken during a video happen between 0:30 and 0:35 seconds. The customer can then learn what works, what doesn’t, and make the needed changes to drive significant increases in KPIs.”

“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.”

“With Snowplow data, we set sales records five months in a row from when we started the ad tests.”

“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 that empowers you to take the next step.”

"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 what’s happening within five or 10 minutes.”

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

"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).”

“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.”

“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 no limitations.”

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

“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.”

"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.”