Abstract: Method and system for optimizing impression bids for a real-time bidding advertising campaign. A set of nodes eligible to serve impressions for the advertising campaign is determined, and real-time bidding auctions are held for advertisements to be served on the set of eligible nodes. The auctions result in a desired number of success events being obtained without exceeding an budget. To determine the set of eligible nodes, a target set of nodes meeting targeting criteria for the advertising campaign is determined, delivery is forecasted for each target node, and the target nodes are ranked and filtered based at least in part on the forecasted deliveries.

Abstract: A method of placing a bid in an auction for digital advertisement space in an online advertising platform includes determining whether a threshold for optimized bidding has been met, and, upon determining that the threshold has been met, formulating, based at least in part on actual success event data, an optimized value as the bid. If the threshold has not been met, a learn value is formulated as the bid. Formulating the learn value includes receiving a desired payment value for obtaining a success event, calculating a ratio of actual and projected success events to actual and projected impressions to obtain a conversion rate, and applying the conversion rate to the desired payment value to determine the bid value. The bid is then submitted to the digital advertisement space auction.

Abstract: There are methods and apparatus, including computer program products, for receiving advertisement calls at a first computing system from a second computing system, the first computing system and a second computing system being in electronic communication through a network, each advertisement call being defined by one or more variable-value pairs; extracting data from the advertisement calls, the extracted data including at least two sets of variable/value pairs, the first set of variable/value pairs including variable/value pairs of a first variable type, and the second set of variable/value pairs including variable/value pairs of a second variable type; and performing one or more tests on the extracted data to infer a legitimacy of at least a first subset of the advertisement calls.