Systems and methods are provided for optimizing campaigns (such as marketing campaigns) based on both short term and long term behaviors of users. A computing system learns an incremental outcome prediction model using training data comprising a marketing campaign log entry of a subject user and another marketing campaign log entry of a corresponding user, which represents a counterfactual outcome for the subject user. A marketing campaign can be selected for another user using the learned model.