Look-alike modeling is a technique used in the field of machine learning and data mining to identify and target users who are similar to a known group of users. Look-alike modeling involves using data about a group of users, such as their demographics, interests, or behaviors, to create a model or profile of their characteristics. This model is then used to identify other users who have similar characteristics, and who are likely to be interested in the product or service being promoted. Look-alike modeling can be effective for advertisers, as it can help them to reach new users who are likely to be interested in their product or service, and to increase the performance and efficiency of their advertising campaigns.