Trait-to-Trait Overlap Report
Returns data on the number of unique users shared among all your first and third-party traits.
The Overlap reports in Audience Manager adhere to RBAC principles. You can only see traits from data sources that you have access to based on the RBAC User Group that you belong to.
The Trait-to-Trait Overlap report returns data on the % of unique users shared between all your own traits and your third-party traits. As an optimization tool, this report helps you:
- Create segments with high or low overlap, depending on your needs. Traits with high overlap give you a targeted audience, but fewer unique visitors. Traits with low overlap can be useful to reach a larger, unique visitor set.
- Validate third-party trait data: Strong overlap between similar first and third-party traits suggests that the trait from your data partner is accurate and trustworthy. Conversely, low overlap can indicate that a third-party trait may not actually contain the same information as your own, similar first-party trait.
- Find unexpected overlap between traits and use that information to build innovative segments.
The following illustration provides a high-level overview of elements in the Trait-to-Trait Overlap report.
The Trait-to-Trait Overlap report returns an empty field when it compares the same trait to itself.
Drill Down on Individual Data Points
Select an individual point to view data details in a pop up window. Your click actions automatically update data displayed in the report.
Trait-to-Trait Overlap Data Pop Fields Defined
Describes the metrics displayed in the popup window when you click an individual data point.
The popup for the Trait-to-Trait Overlap report contains the metrics below. Note that the uniques metric in the table represents your real-time users .
|Data Provider Name||Name of the trait's owner.|
|Data Provider Type||Defines the type of provider a trait belongs to. Can be either:
|Trait ID||Unique numeric ID for that trait.|
|Trait Name||Name of the trait.|
|Overlap %||Shows the % of unique overlap between compared traits (overlap uniques/trait uniques).|
To get the overlap %, Audience Manager uses the following formula:
Overlapping Uniques / (Base Segment Uniques + Overlapping Segment Uniques – Overlapping Uniques)
|Trait Uniques||The number of unique visitors in the trait.|