The Cxense DMP now supports lookalike modeling. You enable lookalike modeling for an existing segment, setting a target size for the new lookalike segment. The Cxense DMP will automatically use machine learning to classify new users as lookalikes.
For instance, you may have a small segment consisting of female users based on data from you CRM system. You enable lookalike modeling, and set the target size to 50%. A training model is generated based on the original segment, and the 50% of new users who are most similar to the original users will be classified into the lookalike segment.
A new lookalike segment is automatically generated for you, and will appear in the Cxense DMP segment list. You can use this segment directly, but lookalikes are also available as a segment criteria that can be used in multiple segments.
When the lookalike model has been trained, you will start getting statistics about the lookalike model.