A data management platform (DMP) helps you evaluate audience data by which of the following methods?

A data management platform (DMP) is a powerful tool used in digital marketing that helps marketers understand and evaluate their audience data effectively. It accomplishes this through several methods.

Conducting lookalike modeling is one of the significant capabilities of a DMP. This process involves creating profiles of existing customers and using these characteristics to find new potential customers who exhibit similar behaviors or traits. This is crucial for expanding reach and improving targeting.

Forecasting available impressions is another method utilized within a DMP. This functionality allows marketers to predict the number of ad impressions available for specific segments. By analyzing historical data, a DMP can give insights that help in planning campaigns effectively.

Segmenting users is also a fundamental aspect of a DMP. This process involves dividing the audience into distinct groups based on various criteria such as demographics, behaviors, or interests. By segmenting users, marketers can tailor their messaging and strategies to better meet the needs of each group.

Since a DMP can conduct lookalike modeling, forecast available impressions, and segment users, it is clear that it leverages all these methods to evaluate audience data, which is why the answer encompasses all of the options provided.