| 摘要 |
A computer-implemented system, method, and computer program are disclosed for optimizing buy-side advertising factors for an internet-based first advertising campaign, thereby improving the performance of the first advertising campaign. The optimization involves classifying and identifying stored advertisement campaigns that share similar data, such as subject matter, advertising parameters, and result parameters, to a first advertising campaign that is to be optimized. Advertising factors, including pricing options and pricing values, are then computed by performing multivariate analysis on advertising parameters and result parameters corresponding to the stored advertising campaigns that perform optimally compared to the first advertising campaign to be optimized. The multivariate analysis identifies pricing options, like creative, targeting, and bid cost-per-click (CPC), and related pricing values, where pricing values for each pricing option indicates how an advertiser may spend an existing advertising budget to optimize the first advertising campaign to match the stored and optimally performing advertising campaign.
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