Snowplow Analytics

Snowplow Analytics is a real-time customer context platform that collects, validates, enriches, and delivers behavioral data to support advanced analytics, machine learning, and AI agent decision-making. It enables companies to generate high-quality, AI-ready behavioral data, providing full transparency and control over customer data across the entire digital journey. With Snowplow's event tracking used by over 2 million websites and applications worldwide and processing more than one trillion events monthly, it serves as a foundational tool for more than 250 companies—including Samsung, Experian, AutoTrader, Strava, Condé Nast, and HelloFresh. Founded in 2012 by Alex Dean and Yali Sassoon, Snowplow was created to address the limitations of existing digital analytics tools, which were often opaque and inflexible, locking valuable customer behavior data inside closed platforms. Snowplow empowers organizations to generate, model, and own rich behavioral data, enabling deep understanding of customer journeys, real-time personalization, predictive analytics, fraud detection, and AI-driven customer experiences. Snowplow’s platform acts as the premier data creation infrastructure for digital-first companies, allowing them to build trusted first-party data foundations that fuel their customer-facing AI agents, in-session personalization, recommendations, and behavioral insights. The company delivers the highest quality, real-time customer context with minimal engineering overhead, helping businesses unlock the full potential of their data to succeed in an increasingly AI-powered future.