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AAM Feature Release Announcement: Trait Recommendations, powered by Sensei


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Attn: Adobe Audience Manager Users,      


On February 25, 2019, Audience Manager will release Trait Recommendations, a new feature powered by Sensei, that enhances the segment building workflow and quickly generates data-driven insights to increase segment size and conversion rate.

As traits are added to a segment in the Segment Builder workflow, a table with up to five Trait Recommendations will appear in real-time. The table surfaces recommendations based on a similarity score against the largest traits included in the segment, pulling from any dataset currently available for segmentation. By clicking on a recommended trait, a pop-up will display additional recommendations specific to that trait. Trait Recommendations is built upon a patent-pending technique to estimate Jaccard Similarity accurately and in real-time.

Trait Recommendations help marketers uncover traits that are highly relevant but may not be obvious for segment inclusion. By including these additional traits in audience segments, customers can expand their addressable audiences and improve downstream conversion rates and ROI of segments.

To learn more about how to use this feature and view a tutorial, visit our product documentation and our HelpX site at time of release

Customer Impact:

This enhancement is scheduled for February 25, 2019 and will be available for all Audience Manager customers without additional resources required from Adobe’s Customer Care or Consulting services

For questions or concerns, contact amsupport@adobe.com.   

Adobe Customer Care