The success rate for product changes is around 30%, indicating that many new features don't deliver the impact teams are hoping for. This lack of clarity and inability to isolate cause and effect can lead teams to double down on unsuccessful features. A better approach involves using A/B testing, which provides clarity on whether a feature is working or not. However, scaling A/B testing without starting from scratch requires a fast, flexible, and self-serve system that can handle large volumes of data and experiments. GrowthBook and ClickHouse offer a solution by providing an open-source platform that integrates with warehouse-native ClickHouse, enabling teams to run sophisticated A/B tests with flexibility and control, while also delivering speed and scalability.