Abstract: Disclosed are methods and systems for generating a media mix model. A time series data set is received specifying media delivered to recipients via a plurality of media channels at a plurality of times and one or more responses at the plurality of times. A random forest model is trained, the random forest splitting the time series data into subsets based on media channel of the plurality of media channels. Response curves are generated using the trained random forest model, each of the response curves corresponding to a media channel of the plurality of media channels, the response curves forming a media mix model adapted to predict responses based on media delivered and media channel.