Why is a look-alike task needed?

The look-alike task is used to find new users or objects that are most similar to already known target users based on their characteristics. This helps expand the audience for marketing campaigns, improve targeting accuracy, and increase conversion.

For example, if you have a group of customers who actively purchase a certain product, the look-alike model finds other users in the database with similar behavior, demographics, or interests to offer them similar products or services.

Thus, look-alike models help efficiently scale a business by using data about existing successful customers to find new potential ones.