Mapping Attributes and Metrics
Overview
Dynamic segments provide exceptional control to target your campaigns precisely. Understanding attributes and metrics is critical for segment creation, responsible data use, and maintaining compliance.
Attributes
- What they are: User-defined characteristics or properties associated with users/endpoints. They include:
- Contact information (name, organization, role)
- Demographics (age, location, preferences)
- Website/app behavior (pages visited, features used)
- HIPAA-relevant identifiers only if strictly necessary and protected.
- How to use them: Attributes create filters for dynamic segments
- Example: Send an informational newsletter to users in California who clicked a specific article link.
- HIPAA Considerations:
- Limit attribute collection to the minimum necessary.
- Securely store attributes, especially those containing Protected Health Information (PHI).
- Obtain clear user consent before collecting or using PHI-related attributes.
Metrics:
- What they are: Numerical values used to measure and track user behavior. Configured observation codes allow you to count how often a specific action occurs.
- Examples: Number of visits, open orders, call attemptes made.
- How to use them: Metrics help define segments based on user actions.
- Example: Segment users who haven't opened an email in 30 days for a re-engagement campaign.
- HIPAA Considerations:
- Ensure observation codes don't unintentionally reveal PHI.
- Regularly review stored metrics and anonymize or delete data when no longer needed.
Creating Dynamic Segments: Best Practices
- Purpose first: Determine the goal of your campaign before defining your segment.
- Data minimization: Start with the least amount of data necessary to achieve your goal.
- Attribute selection: Carefully choose attributes, erring on the side of non-PHI data when possible.
- Metric thresholds: Set meaningful thresholds for metrics to refine your segment.
- Regular review: Revisit your segments and the underlying data to ensure continued HIPAA compliance and responsible data practices.