Developed a configuration-driven profile targeting feature for Heartbeat surveys in the mozilla/experimenter repository, focusing on backend development and configuration management using Python. The work introduced a targeting window that selects user profiles aged between 10 minutes and 2 days, allowing experiments to engage a more relevant audience and reducing noise in collected data. The targeting logic was implemented to be easily adjustable for future needs, supporting maintainability and flexibility. All changes were committed with traceability, ensuring clear documentation of the new configuration. This approach enhanced the reliability of Heartbeat survey data by refining the criteria for user engagement within experiments.