Abstract: Methods and systems for determining a price for an advertising placement. One method includes setting a desired placement location for an advertising placement; determining a predicted number of views at the desired placement location for the advertising placement using a views model; determining a predicted cost at the desired placement location for the advertising placement using a cost model, the cost model using the predicted number of views determined by the views model as input; and outputting a price for the advertising placement based on at least one of the predicted number of views and the predicted cost at the desired placement location.

Abstract: Methods and systems for training predictive models for an advertising price management system. One method includes storing information to a database about a past price determined by the advertising price management system and a source used to set the past price, the source including at least one of a constraint-based optimizer, a testing routine, and a manual override; assigning a weight to the information about the past price based on the source used to set the past price; and using the stored information about the past price and the weight to train the predictive models for the advertising price management system. The method also includes using the predictive models to determine a price for an advertising placement and communicating the price.