Abstract: Techniques are provided for generating recommendations to improve the delivery of electronic content items over one or more networks. In one technique, multiple predictive functions are stored, each associated with a different objective and based on multiple features. Multiple feature values of a first content delivery campaign are identified. For each feature value of the multiple feature values, a second feature value that is different than said each feature value is identified and input into each predictive function of the multiple predictive functions to generate multiple outputs, each output corresponding to a different predictive function of the multiple predictive functions. The multiple outputs are combined to generate a predicted performance. Based on the predicted performance associated with each feature value of the multiple feature values, a particular feature is identified and presented on a screen of a computing device.