The integration between LaunchDarkly Experimentation and Snowflake enables Warehouse Native Experimentation, which allows teams to run and analyze experiments directly within their data warehouse. This eliminates compliance risks and data governance challenges by providing a single source of truth for experimentation data. With this integration, teams can leverage advanced analytics and AI-powered insights from Snowflake's platform, such as Elastic Compute and Cortex AI, to drive faster, data-backed decisions. The three pathways to run experiments include LaunchDarkly-hosted analysis, custom warehouse analysis, and Snowflake Native Warehouse Experimentation, each offering different levels of setup and integration. By using this integration, teams can optimize subscription conversions, experiment with high-fidelity data, and unlock new levels of experimentation velocity, accuracy, and scalability.