Federated Audience Composition
5 min
Retail scenario
Database connection
Name: Luma Datasource
Type: Snowflake
Database: CUSDEVDB1
Entities & Relationships

Luma (Retail) Data Model v2.0
Compositions
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Name: Luma Datasource
Type: Snowflake
Database: CUSDEVDB1

Customers whose category affinity is equal to women, and they are signed up for the loyalty program.
Create audience:
Highlight: Enrichment
Scheduled: No
Result audience name: Loyalist and Women Category (v2)
Identity: Email

Create audience of customers who have a birthday this month, if they have an active order, target them for a birthday offer that references their order status. However, if they do not have an active order, just target them with a birthday offer.
Create audience:
Highlight: Conditional split, Enrichment
Scheduled: No
Result audience name: Birthday this month - Active orders, Birthday this month - No active orders
Identity: Email

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Prior Order History is greater or equal to $1000 and has consented to marketing communications. Additionally, with enrichment, we can also couple together this output with, βdoes a Wishlist exist?β for this specific user β this could warrant retargeting or offers being sent to that user when an item / product on their wish list changes price or stock levels.
Create audience:
Highlight: Conditional split, Enrichment
Scheduled: No
Result audience name: Luma Prime Member with Wishlist, Luma Prime Member with Recommendation
Identity: Email
