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“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.”
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“Snowplow’s rich, granular data enabled us to build sophisticated audience intelligence and double the efficiency of our clients’ trailer advertising campaigns.”
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“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.”
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“Snowplow has a lot more power and flexibility, and the thinking around event structures and event schemas is miles ahead of the industry. The Snowplow dataset has become part of our core strategic offering.”
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"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 …
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“Snowplow provides all of our event data in a data model we own end-to-end, and can easily shape to fit our organisational needs. Snowplow has really helped accelerate our analytics; now we can quickly answer questions that would have required a tremendous amount of engineering effort with our previous solution.”
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"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 …
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“The Snowplow framework has become indispensable to understanding the Picnic app usage and allowing us to focus on the most impactful features.”
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"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.”
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“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 …
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“We couldn't combine our in-house tracking data with other types of information, like who made the request, what did they do, where did they come from, had they been on the site before, or if they were a member.”
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“The versatility [of Snowplow] allows us to take the raw data, model it, transform it, expand it, enrich it, and come out the other end with a data set that's flexible for all of our product teams. It's highly targeted information. But through that enriching process, data stitching, identities, we …
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"When we attempted to integrate data from Adobe Analytics into our existing platform, we encountered significant processing and performance issues.”
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“Without Snowplow data, a data-driven approach to systematically improving retention would not be possible.”
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"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.”