Abstract: A non-transitory processor-readable medium is provided that stores code representing instructions to be executed by a processor to filter data associated with an entity for a first predefined time period in response to an access by the entity at a first time to a preselected network location from a plurality of preselected network locations. The plurality of preselected network locations are associated with forced web traffic patterns. The processor is also caused to filter data associated with the entity for a second predefined time period in response to an access by the entity at a second time to a preselected network location from the plurality of preselected network locations during the first predefined time period. The second time is after the first time.

Abstract: Methods for bid optimization and inventory scoring are provided. The method comprises receiving a definition of a success event associated with a campaign that has a set of campaign parameters. The method also comprises calculating an impact estimate for a performance measure of the success event. The impact estimate is calculated based on a set of auction parameters and a set of historical data associated with a browser. The method further comprises defining a bidding function based on the impact estimate, a set of characteristics of the browser, and the set of campaign parameters. The method also comprises calculating, after calculating the impact estimate and defining the bidding function, a bid value using the bidding function. The method also comprises sending a signal having the bid value to a real-time bidding exchange.