Optimization of bid prices and budget allocation for ad campaigns

A system comprising:

• a processor in communication with one or more types of memory, the processor configured to:
• determine an optimal bid price for each one of a plurality of campaigns in each one of a plurality of online real time bidding auctions, wherein when the processor is configured to determine an optimal bid price for each one of a plurality of campaigns in each one of a plurality of online real time bidding auctions, the processor is configured to:
• determine a winning function for bids placed for campaigns in each one of a plurality of online real time bidding auctions;
• determine a bidding function for bids placed for campaigns in each one of a plurality of online real time bidding auctions;
• and
• determine the optimal bid price for each one of a plurality of campaigns in each one of a plurality of online real time bidding auctions as a function of the determined winning function and the determined bidding function.

A computer program product comprising:

• a non-transitory storage medium readable by a processing circuit and storing instructions for execution by the processing circuit for performing a method comprising:
• determining, by the processor, an optimal bid price for each one of a plurality of campaigns in each one of a plurality of online real time bidding auctions, wherein determining, by the processor, an optimal bid price for each one of a plurality of campaigns in each one of a plurality of online real time bidding auctions comprises:
• determining, by the processor, a winning function for bids placed for campaigns in each one of a plurality of online real time bidding auctions;
• determining, by the processor, a bidding function for bids placed for campaigns in each one of a plurality of online real time bidding auctions;
• and
• determining, by the processor, the optimal bid price for each one of a plurality of campaigns in each one of a plurality of online real time bidding auctions as a function of the determined winning function and the determined bidding function.

A computer-implemented method comprising:

• determining, by a processor, an optimal allocation of an advertiser's advertising budget during a certain period of time for each one of a multiple of ad campaigns of the advertiser;
• and
• determining, by the processor, an optimal pacing rate of spend of the advertiser's advertising budget during a certain period of time for each one of the multiple ad campaigns of the advertiser;
• wherein the processor determines the optimal allocation of an advertiser's advertising budget during a certain period of time for each one of a multiple of ad campaigns of the advertiser and determines an optimal pacing rate of spend of the advertiser's advertising budget during a certain period of time for each one of the multiple ad campaigns of the advertiser by the processor utilizing empirical data relating to an actual ad budget spend over a predetermined training period of time and by the processor allocating a portion of the advertiser's advertising budget to each one of a plurality of time windows based on a probability of achieving an optimal value for each of one or more parameters.

A computer program product comprising:

• a non-transitory storage medium readable by a processing circuit and storing instructions for execution by the processing circuit for performing a method comprising:
• determining, by a processor, an optimal allocation of an advertiser's advertising budget during a certain period of time for each one of a multiple of ad campaigns of the advertiser;
• and
• determining, by the processor, an optimal pacing rate of spend of the advertiser's advertising budget during a certain period of time for each one of the multiple ad campaigns of the advertiser;
• wherein the processor determines the optimal allocation of an advertiser's advertising budget during a certain period of time for each one of a multiple of ad campaigns of the advertiser and determines an optimal pacing rate of spend of the advertiser's advertising budget during a certain period of time for each one of the multiple ad campaigns of the advertiser by the processor utilizing empirical data relating to an actual ad budget spend over a predetermined training period of time and by the processor allocating a portion of the advertiser's advertising budget to each one of a plurality of time windows based on a probability of achieving an optimal value for each of one or more parameters.