Turn releases into product impact.
Eliminate guesswork by analyzing user behavior and engagement—directly on your data warehouse.
Speed up decisions with insights.
Empower teams to explore behavior with self-serve data.
Skip pipelines & go warehouse-native.
Analyze product data directly in your warehouse, with no data duplication.
Ship smarter across every release.
Tie each feature rollout or experiment directly to usage metrics and real-world outcomes.
Speed up decisions with behavioral self-serve insights.
Empower product managers and data teams to quickly explore funnels, retention, and user behavior—all without waiting on engineering or wrangling multiple tools.
Speed up decisions with behavioral self-serve insights.
Empower product managers and data teams to quickly explore funnels, retention, and user behavior—all without waiting on engineering or wrangling multiple tools.
Interactive funnels & cohorts
Track user journeys and segment behavior to find drop-off points or power users.
Instant retention analysis
See which features keep users engaged over time—and where they lose interest.
Intuitive, code-free interface
Give non-technical teams the ability to uncover answers on their own.
Skip the pipelines with warehouse-native analytics.
Analyze product data directly in your warehouse—no data duplication or complex pipelines.
Skip the pipelines with warehouse-native analytics.
Analyze product data directly in your warehouse—no data duplication or complex pipelines.
Connect to existing warehouse
Authenticate once and immediately tap into live data—no duplicate storage or manual exports.
Maintain compliance & control
Keep user data in your secure environment, aligning with compliance and governance needs.
Scale effortlessly
Harness the performance of your warehouse as usage grows, without re-architecting pipelines.
Ship smarter across every release and experiment.
Tie each feature rollout or experiment directly to usage metrics and real-world outcomes to deliver maximum impact.
Ship smarter across every release and experiment.
Tie each feature rollout or experiment directly to usage metrics and real-world outcomes to deliver maximum impact.
Release-aware analytics
Automatically link each product change to actual user behavior, eliminating guesswork.
Experiment in one platform
Plan, run, and analyze experiments side by side with your feature flags.
Continuous improvement
Identify winning variations and replicate success across your roadmap.
Learn more about Product Analytics
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Blog
When does experimentation add value? A product manager’s guide
10 compelling situations where you should consider running an experiment.
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Blog
LaunchDarkly + Snowflake: Introducing Warehouse Native Experimentation
New: use Snowflake AI Data Cloud data to measure the impact of LaunchDarkly experiments.
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Docs
LaunchDarkly offers a warehouse-native product analytics solution
Product analytics lets you analyze your product data and get insights.
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webinar
Experimentation Excellence: Real-Life Examples and Best Practices Using LaunchDarkly
Continuous experimentation is key to data-driven product development and innovation.
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webinar
Warehouse Native Experimentation for Engineering, Product, and Data Teams
Explore how LaunchDarkly Experimentation integrates with Snowflake AI Data Cloud.
Ready to ship smarter?
