Find similar customers
Important
This content is archived and is not being updated. For the latest documentation, see Microsoft Dynamics 365 product documentation. For the latest release plans, see Dynamics 365 and Microsoft Power Platform release plans.
Important
Some of the functionality described in this release plan has not been released. Delivery timelines may change and projected functionality may not be released (see Microsoft policy). Learn more: What's new and planned
| Enabled for | Public preview | General availability |
|---|---|---|
| End users by admins, makers, or analysts |  Jun 30, 2020 |
To be announced |
Feature details
Segment expansion lets you find similar customers in your customer base using artificial intelligence. A binary classification machine learning model assigns a similarity score to customers in the expanded segment. The score is based on the similarity to customers in the source segment. Depending on the similarity score, customer profiles are added to a newly created segment.
Sometimes referred to as lookalike modeling in digital marketing, it uses an AI model to help find customers who are similar to another segment of your customers by factoring in additional attributes. It not only allows you to pick the attributes but also allows you to specify the maximum number of customers who should be in this new segment. The AI model will then compute similarity scores for each customer based on your selected attributes and find customers with the higher average similarity score. The resulting segment will include customers who look similar to the customer in your original segment.
See also
Similar customers (docs)