Generate complete, accurate and well-structured event data across all platforms and channels in a common format, with the Snowplow Behavioral Data Platform.
Power multiple use cases with a single, unified data set generated from web, mobile and other sources.
Avoid poor quality data eroding confidence in your reporting, analytics and products.
Clean, well-structured data means less time preparing data and more time creating value.
Our open-core technology generates rich, high-quality behavioral data, process it and delivers it to your real time streams, data lake and data warehouse.
Structured workflows, tooling and the Snowplow Console help solve common challenges around data quality, governance, observability and meaning.
Engineered for ethical data collection; identify, control and manage personally identifiable information and meet compliance requirements.
All underpinned by the ongoing strategic and technical expertise we provide you
Assign credit to each marketing touchpoint that influences high value user behavior; bespoke to your product and user journeys.
Understand what drive user engagement and personalize the experience in real time to drive acquisition and retention.
Develop a strong understanding of user behavior to inform product strategy and optimise the product experience.
Identify trends in user interaction to isolate behaviors predictive of retention and churn for better forecasting and interventions.
Put great behavioral data at the heart of your products to deliver compelling and unique value propositions to your customers.
Snowplow delivers a data-set that can power all your data use cases from traditional web analytics to building data-driven products.
Scalable, production-ready and fully supported Snowplow technology, with our platform to empower you to govern, quality assure and manage your data collection.
The engine behind the Behavioral Data Platform, available for you to set up and run; empowering you to generate high-quality behavioral data.
As your organization scales, self-serve culture and freeing up data team time becomes more critical to success. This is challenging without high-quality, well-documented data collection.
Without a single high-quality behavioral data set as your source of truth, trust in the data will erode. Siloed data and lack of reliable change management perpetuate this.
You must collect and deliver the data in a robust, performant and assured manner, and the time, knowledge and expertise required to run and maintain a complex data platform is sizeable.
Sean Halliburton, Senior Engineering Manager at Nordstrom
Rahul Jain, Principal Engineering Manager at Omio
Darren Haken, Head of Data Engineering at AutoTrader
Hervé Mensah, Director, Data Science & Integration at La Presse
Stephen Beuker, Manager Data and Analytics at BVA Auctions
