GrowthBook has released version 2.7, featuring several enhancements such as sticky bucketing, reusable targeting conditions, an experiment health tab, and optimizations for fact table queries. Sticky bucketing ensures consistent user experiences by remembering the first variation a user sees, even if conditions change, and is currently supported in the latest JavaScript and React SDKs. Reusable targeting conditions allow for more complex and versatile Condition Groups, which can be applied across multiple experiments and features. The experiment health tab centralizes data quality checks, enabling automatic dimension checks and easier detection of issues like Sample Ratio Mismatch. Fact table query optimization reduces query numbers for experiments with multiple metrics, potentially lowering costs for data warehouses like BigQuery and Snowflake, and is available to Enterprise customers. Additionally, GrowthBook introduces a "Make Changes" button to guide users through safely updating live experiments without introducing bias or errors, with additional release strategies for Pro and Enterprise users. A new best practices guide and a contextual AI bot have also been added to assist users in optimizing their use of GrowthBook, along with various other improvements and bug fixes.