Relation Data is a way of organising data inside Raptor’s CDP, enabling you to link a single customer profile to multiple related items (and the attributes that describe them). Some examples include:
- A person and their pets (and the species and name of each pet).
- A parent and their children (and the age or gender of each child).
- A customer and their subscriptions (and their type or renewal date).
Technically, Relation Data is a new type of schema where every related item (pet, child, subscription, etc.) is tied to a person using an identifier (such as email address), allowing to create data relationships without duplicating information.
Building Audiences with Relation Data
Using Relation Data allows you to count a profile’s related items and use their number or attributes to build Audiences, making your data model more flexible and scalable.
For example, you can build Audiences including:
- People with at least 1 dog younger than 12 months.
- Parents who have 3 children under 15 years old.
- Customers where all subscriptions are premium and active.
Operators like All, At least, At most, and Exactly can be used for more precise control over the filters you use to build Audiences.
In short, Relation Data enables you to build Audiences not just based on who people are, but also on the items related to them and their attributes.
Learn more about how to work with Relation Data, and don’t hesitate to get in touch with any questions or feedback at [email protected].