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Whether you’re modernizing your customer data infrastructure or building AI-powered applications, Snowplow helps eliminate engineering complexity so you can focus on delivering smarter customer experiences.
Implement tracking with type-safe code, schema versioning, and CI/CD pipelines. Compute user attributes from real-time streams and warehouse data without complex infrastructure. Build adaptive UIs, recommendation engines, and AI agents via a low-latency API.
Let's face it—implementing analytics tracking has always been a pain. You commit code, wait for the analytics team, make adjustments, rinse, and repeat. With Snowplow's Snowtype CLI, you can now generate type-safe tracking code, accelerating tracking implementations and reducing failed events. Teams using this approach have cut their implementation cycles from 4+ days to same-day, freeing themselves from the Google Analytics/Tag Manager implementation purgatory we've all suffered through.
Build tracking directly into your PR workflows with type-checking that reduces time writing custom code
Stop guessing about event schemas—Snowtype generates code with required types and contains inline documentation for methods, classes and types
Eliminate the dependency on analytics teams for validation—independently test and validate events during development, prior to production, using Snowplow Micro
Traditional data governance often involves specialized UIs and unfamiliar processes. Instead, snowplow-cli, a command-line tool makes data structures management local-first and version-control-friendly. Now your data schemas can live alongside your application code in the same repo, following the same review process.
Ship tracking changes fast without breaking things—automated validation catches schema errors before they hit production, so you can move quickly
Stop context-switching between tools—manage your data structures and user attribute definitions directly in familiar platforms such as Github, freeing you from babysitting schema updates
Enable cross-team visibility on tracking changes through familiar PR workflows and inline documentation, eliminating complex review cycles
Transform validated event streams into actionable user insights without complex infrastructure. Snowplow Signals computes user attributes from both real-time events and warehouse data, making them available through a low-latency API. Focus on building in-product personalized experiences and adaptive UIs, instead of wrestling with data infrastructure.
Leverage familiar tools like SDKs (Python & TypeScript) for defining and retrieving user attributes and interventions
Define attributes once, compute them in real time, across your in stream & warehouse data
Build adaptive UIs, recommendation engines, and intelligent AI agents using validated, schema-enforced data
Snowplow delivers complete, high-quality behavioral data straight to your data stack - web, mobile, and beyond. No missing touchpoints, no black-box processing. Just rich data that fuels better targeting, personalization, and measurement - on your terms.
Great marketing isn’t about doing more—it’s about using the right data to do it smarter. Track what matters, optimize with confidence, and turn insights into impact.
Developers embrace Snowplow for its seamless integration with existing tech stacks and self-service validation tools.
Snowplow allowed us to unlock a new world of collecting data directly from websites, the front end, and the client side of our games.
Data Platform Team Lead, Supercell
With Snowplow's validation tools and Snowtype at our disposal, our developers can now work independently and instantly verify their tracking implementation. They can immediately see if the data being collected matches what they intended - this is a significant improvement to our workflow.
Large European Media Company
Setting up tracking with Snowplow has proven to be far easier and far less painful than previous solutions.
Engineering Manager, Strava
Whether you’re modernizing your customer data infrastructure or building AI-powered applications, Snowplow helps eliminate engineering complexity so you can focus on delivering smarter customer experiences.