I have been using Snowplow for the past four or five years. We migrated from Google Analytics to Snowplow, and our main use case for Snowplow is for tracking events for instrumentation. We also use it to understand user journeys and funnels, measure conversion, retention, and engagement, and it helps us to send clean, structured behavioral data into a data warehouse, such as BigQuery or Snowflake. The main purpose, to summarize, is for event-level behavior tracking where we capture how users interact with the product, and then we use that data to analyze funnels, engagement, and feature performance. I can walk you through something we do on a day-to-day basis using Snowplow to track how many users are exposed to the feature, how many interact with it, where they drop off, whether they complete the intended action, and how downstream metrics such as conversion or engagement change.
My main use case for Snowplow is user behavior tracking at DPG Media on all their websites and apps as well as on television streaming. We stream the data to Snowflake in real time and stitch the data as well. From there, it is used for many use cases in the company. For example, we tracked the scroll depth of pages and the time on pages, sending it to Snowplow. Many other use cases were developed. The data was stitched in a profile service on AWS and then utilized to segment for advertisements.
Web Analyst at a media company with 1,001-5,000 employees
Real User
Top 20
Apr 30, 2026
Snowplow is used for all of our data collection on our digital services. We have a streaming service that has several different applications including TV applications, mobile applications, and a browser, from which we collect data. We collect both media consumption and more generic basic web analytics data such as page views. Basically, we collect all of our digital data with Snowplow.
Snowplow is a data collection platform known for its ability to gather rich, event-level data across websites and applications in real-time, offering unique insights and advanced analytics capabilities for users.Snowplow provides a powerful framework for capturing and managing complex data streams. Its architecture supports the collection, storage, and processing of high-quality, granular data. Users benefit from the high level of detail it provides, which enables sophisticated analytics and...
I have been using Snowplow for the past four or five years. We migrated from Google Analytics to Snowplow, and our main use case for Snowplow is for tracking events for instrumentation. We also use it to understand user journeys and funnels, measure conversion, retention, and engagement, and it helps us to send clean, structured behavioral data into a data warehouse, such as BigQuery or Snowflake. The main purpose, to summarize, is for event-level behavior tracking where we capture how users interact with the product, and then we use that data to analyze funnels, engagement, and feature performance. I can walk you through something we do on a day-to-day basis using Snowplow to track how many users are exposed to the feature, how many interact with it, where they drop off, whether they complete the intended action, and how downstream metrics such as conversion or engagement change.
I use it for product analytics such as tracking clicks and page views, as well as providing a customer 360.
My main use case for Snowplow is event tracking. I track all events that occur on our website and mobile app and conduct analytics on them.
My main use case for Snowplow is user behavior tracking at DPG Media on all their websites and apps as well as on television streaming. We stream the data to Snowflake in real time and stitch the data as well. From there, it is used for many use cases in the company. For example, we tracked the scroll depth of pages and the time on pages, sending it to Snowplow. Many other use cases were developed. The data was stitched in a profile service on AWS and then utilized to segment for advertisements.
Snowplow is used for all of our data collection on our digital services. We have a streaming service that has several different applications including TV applications, mobile applications, and a browser, from which we collect data. We collect both media consumption and more generic basic web analytics data such as page views. Basically, we collect all of our digital data with Snowplow.