In our rapidly evolving media, economic, and political landscape, the performance of audience targeting is a critical driver of campaign success. This performance is under consistent strain from the significant changes in consumer media behavior and the limited available signals to reach target audiences due to government legislation and platform privacy policies.
As a result, traditional audience-building and optimization methods often struggle to keep pace with the needs of modern marketers, while advanced solutions like artificial intelligence (AI) are setting new benchmarks for what’s possible.
In this paper we compare AI-powered audience modeling with traditional look-alikes, analyzing performance, privacy, and more.