Learn how AIDO identifies and evaluates audience segments for campaign optimization.
Key concepts
- Audience discovery evaluates combinations of available attributes or behavior to identify segments associated with an objective.
- Discovered patterns can inform targeting or experimentation but do not establish causality.
- Segment optimization should balance expected response, reachable volume, stability, and governance.
How it works
- Define the eligible population, outcome, observation period, and excluded data.
- Run discovery on data with sufficient quality and representative coverage.
- Review segment size, characteristics, uplift, stability, and possible proxy effects.
- Validate promising segments with a controlled campaign or holdout.
- Promote only understandable, governable segments into operational use.
Governance and considerations
- Sensitive attributes and problematic proxies require explicit review.
- Historical performance can reproduce historical bias.
- Re-evaluate segments as customer behavior and data availability change.
Note
Exact UI labels, availability, and behavior can depend on the Elaine.io release, licensed capabilities, permissions, and project configuration.