Conde Nast is home to many iconic brands with wide ranging and influential content that engages audiences around the world. Audiences find our content via many channels: social, email, organic, and search. In this talk, we outline the machine learning-based recommendation and personalization strategy employed across all of these channels. Key elements of our strategy include: * Social: The most relevant content is promoted on social media *Email: Newsletters are personalized with content of interest to the recipient *On-site: Consumer experiences are enhanced by recommendations based on not only reader interest but also the context *Search: Editorial topic recommendations based on search trends. We walk through several of these use-cases and their positive impact on audience engagement.