1. A computer-implemented method, comprising: generating a predictive model for a content object, wherein a predictive model is generated using predictive information related to a selected content object, wherein a predictive model includes a predictive factor used to calculate a predictive value, and wherein a predictive value corresponds to a likelihood that an object will be selected when presented within a web page; designating a first set of sources as control sources and designating a second set of sources as common sources, wherein a control source includes a source for which a content object is randomly selected for presentation, and wherein a common source includes a source for which a content object is selected for presentation using a predictive model for that content object; monitoring a performance of the predictive model, wherein monitoring includes determining selection or non-selection of the content object associated with the predictive model, and wherein monitoring includes determining whether the content object is selected by a control source or a common source; generating a comparison table for the predictive model, wherein the comparison table includes a probability of success value associated with a control source and a probability of success value associated with a common source, and wherein a probability of success value represents a probability that a content object associated with a predictive model will be selected; comparing the probability of success value associated with the control source and the probability of success value associated with the common source to one or more predetermined values; and determining whether to use the predictive model to select the content object for inclusion in a configuration of content objects presented within the web page, wherein the predictive model is used when the probability of success value associated with the control source and the probability of success value associated with the common source exceed the one or more predetermined values.