Abstract: Techniques for joint optimization of user segments and delivery channels are described. In one aspect, a method, includes obtaining activity data from a user device associated with a user, selecting, using a selector of a machine learning model, a user segment for the user based on the activity data, mapping, using a mapping function of the machine learning model, activity data for the user segment to features defined by multiple media channels, each media channel assigned a resource component, generating, using an objective predictor of the machine learning model, an objective prediction for the user segment based on the features and resource components of the media channels, the objective prediction identifying a media channel from the multiple media channels with a composite scalar metric above a defined threshold, and providing content to the user device via the media channel. Other embodiments are described and claimed.

Abstract: Systems and methods for delivery aware audience segmentation and subsequent delivery of content are described. Embodiments are configured to obtain activity data for a user, assign the user to a user segment based on the activity data using a machine learning model, generate a reach prediction for the user segment, select a media channel for communicating with the user based on the user segment and the reach prediction, and provide targeted content to the user via the selected media channel. According to some aspects, the machine learning model is trained based on content reach data.