LaunchDarkly and Snowflake: Warehouse Native Experimentation for Engineering, Product, and Data Teams

Experimentation is essential for shipping data-validated software—but achieving reliable, holistic results requires connecting your experiments with the data in your warehouse. In this webinar, we’ll explore how LaunchDarkly Experimentation integrates with Snowflake AI Data Cloud to help teams run effective experiments and measure features against trusted warehouse metrics. This process helps teams obtain richer results that lead to informed, data-driven product decisions.

Join Aaron Montana, Manager, Experimentation Specialist at LaunchDarkly, and Tim Jones, Senior Director, Solutions Innovation Team at Snowflake as they demonstrate how to run experiments and analyze results with the LaunchDarkly Snowflake Native App.

You’ll get a closer look at:

• how to connect Snowflake with LaunchDarkly to streamline experimentation workflows
• why integrating experimentation with your data warehouse empowers deeper insights and better decision-making
• real-world examples of how teams leverage warehouse-native experimentation to uncover insights and make impactful decisions
• a live demo showcasing the LaunchDarkly Snowflake Native App setup, a step-by-step guide for building experiments, and an up-close look at the results and analysis