Method and Apparatus for Campaign and Inventory Optimization

A method for optimizing campaigns comprising:

• defining a cube to have a plurality of dimensions excepting a time dimension;
• defining a plurality of cells within said cube wherein each cell has each of said campaigns;
• generating a set of vectors having a plurality of said dimensions ordered in a sequence from a first dimension to drop to a last dimension to drop for each of said campaigns;
• defining a significance test for data;
• retrieving from a data warehouse historical data for said campaigns;
• running said set of vectors with said respective historical data through said significance test for data for each of said campaigns;
• when significant then placing said retrieved data and said vector into a cell in said cube for each of said campaigns;
• and
• indicating to a user which one of said campaigns has a highest predicted revenue per thousand impressions.

The method of clam 4 further comprising:

• running a preset number of said campaigns having said highest predicted revenue per thousand impressions;
• generating results from said running and storing said results;
• and
• re-running said significant test for data on said stored results.

An apparatus for campaign optimization comprising:

• a machine having a database, said database having an input, and an output;
• a prediction engine having an input, an output, and a significance input, wherein said prediction engine input is coupled to said database output;
• a significance test having an output, said output coupled to said prediction engine significance input;
• a campaign tester having an input and an output, said campaign tester input coupled to said prediction engine output, and said campaign tester output coupled to said database input.