Targeting the right audience is central to successful online marketing. However, traditional audience targeting (e.g. age and gender) is severely limited. Modern audience targeting incorporates and predicts real user behavior, and uses machine learning to create audience that are truly relevant for online advertising. Christoph will discuss the data sources and machine-learning methods to construct relevant audiences for online advertisers, and the tools to explore and visualize such audiences.