One embodiment is a method that predicts a probability of users responding to a second email campaign based on data gathered from a first email campaign. Data from the first email campaign is applied to different models to identify attributes that are predictive of users who responded to the first email campaign. These attributes are used to predict a probability of users responding to the second email campaign.