Snowplow for Product Teams
Eliminate Speculation. Build Products Your Customers Want
Don’t let inflexible, opaque data stuck in traditional product analytics tools hold you back any longer. Access rich, granular customer insights to build strategic products that provide value to customers, and stream real-time behavioral data to power ML-driven personalized experiences such as dynamic product and content recommendations.
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Advanced Product Analytics & Experimentation
Gain Deeper Insights into User Behavior to Build High-Value Products
Track user interactions with granular detail and make data-driven decisions in increasingly competitive markets. Capture every click, page view, scroll depth, and many other interactions to understand exactly how users navigate your products and where they encounter friction.
Track comprehensive user journeys across all touchpoints and devices through custom events and entities with persistent first-party cookies that last up to two years
Run real-time A/B tests simultaneously with precise measurement capabilities that isolate the impact of each product change
Access raw, event-level data that can be analyzed to understand nuanced patterns in user behavior to understand complex, multi-touchpoint journeys
Optimize User Journeys
Create Seamless Experiences by Understanding the Complete Customer 360
Map and analyze the entire user journey from initial touchpoint to conversion and beyond. Circumvent ITP restrictions and track data across platforms, devices, and sessions to get a complete and accurate view of how users interact with your products. Quickly identify friction points, optimize conversion funnels, increase engagement, and prevent churn.
Analyze detailed user flows and drop-off points to prioritize areas of improvement
Improve onboarding and feature adoption rates by delivering personalized experiences or workflows to increase engagement
Build predictive models that identify at-risk users and highlight opportunities for proactive engagement and product enhancement
Accelerate Product Development
Measure Future Performance to Inform the Product Roadmap
Measure product impact faster with easy-to-implement tracking on new features. Leverage customizable event definitions and schemas to understand which features drive the most value and focus development resources accordingly.
Increase feature instrumentation coverage and reduce event tracking complexity
Analyze feature adoption and engagement metrics to quantify the impact of product changes on key business metrics
Monitor feature usage across different user segments to guide product roadmap decisions and prioritize enhancements
Connect Your Customer Data, Where Product Needs It.
Integrate with your preferred destinations or analytics tools. Eliminate data silos and black-box set-ups. Create a complete customer behavioral profile to fuel better analytics, experimentation, and product development.
Make Every Marketing Decision Count with Better Data
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.
See Why Product Teams Choose Snowplow
Product teams rely on Snowplow for data-driven experimentation and feature optimization.
With Snowplow data, we were able to measure project success through an A/B test. In our experiment, we hypothesized that our new Route Detail Page will help Strava users feel like they have enough information to take the next step with a route, resulting in increased engagement with the product.
Senior Product Analyst, Strava
Snowplow has been crucial for Supercell. It gives us deep insights into how players engage with our games and events. This has empowered our teams to build better experiences, especially for Brawl Stars, while driving more collaboration and aligning us closer to our community. It's been a game-changer for understanding player feedback and elevating our product decisions.
Community Tech Lead, Supercell
We integrated Snowplow with the Growthbook platform to give us the ability to define feature flags, run experiments, measure performance, and analyze results – all within the same ecosystem. As we increasingly incorporate experimentation in our culture, our product managers are able to set up and run experiments with minimal support from the analytics team.
Product Lead, HeyJobs
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