Description
Introduce the ability to generate real-time lookalike audiences based on existing high-performing audiences using AI/ML models within Adobe RTCDP.
This feature would allow marketers and data practitioners to automatically expand reach by targeting users with similar behaviors, attributes, or engagement patterns - without needing to define static rules manually.
Why is this feature important to you:
We want to reach more customers who behave like our recent buyers without manual effort.
Manually creating similar audiences is time-consuming and often misses key traits.
How would you like the feature to work:
When viewing a audience like "Recent Purchasers," click a button to generate a lookalike.
RTCDP should use AI to find similar profiles and update the audience in real-time.
Current Behaviour:
There’s no option to automatically find and target similar users.
Marketers must rebuild rules or export data to external tools for this purpose.
Use Case:
A brand wants to promote a new product to people similar to their top buyers from the last 30 days.
Instead of manually setting rules, they click “Generate Lookalike” and instantly get a dynamic audience to use in campaigns.