Launched: Custom Targeting Rules

LaunchDarkly introduces custom targeting rules, allowing users to create conditional rules using a user attribute, operator, and value for granular feature flagging. This enables powerful and precise user targeting, such as rolling out features based on user attributes like registration date, location, or spending habits. Custom targeting rules can be constructed with multiple conditions, and percentage rollouts can also be applied to specific user groups. The new feature opens up many possibilities for advanced user segmentation and targeted feature releases.