Case Study: Gamma drives conversion growth with warehouse-native experimentation on LaunchDarkly
Key results
The challenge
Gamma needed to safely test unpredictable generative-AI models in production and let cross-functional teams experiment without compromising product quality or user trust. Its prior setup could not connect features to conversion or retention.
The solution
Gamma adopted LaunchDarkly Experimentation integrated with the Snowflake AI Data Cloud, using feature flags for rollouts and fallbacks and running experiments on an average of 20-25 AI models at a time.
“We can run experiments that measure real things instead of fake things. A lot of experimentation ends at clicks or page views—those aren't the real metrics we care about. Now we can measure actual user and business outcomes.”
JNJon NoronhaCo-founder and Chief Product Officer, Gamma
The results, in context
A Gamma experiment revealed a 30% increase in user satisfaction for complex prompts, which translated into a 20% lift in free-to-paid conversions after full launch. Gamma tests an average of 20-25 AI models simultaneously.