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MEDIA SPEND MANAGEMENT USING REAL-TIME PREDICTIVE MODELING OF MEDIA SPEND EFFECTS ON INVENTORY PRICING
MEDIA SPEND MANAGEMENT USING REAL-TIME PREDICTIVE MODELING OF MEDIA SPEND EFFECTS ON INVENTORY PRICING
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机译:利用媒体支出对存货定价的实时预测建模进行媒体支出管理
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摘要
A method, system, and computer program product for media spend management. An Internet media planning and purchasing application executes on a management interface device. Servers execute operations to predict various inventory and pricing effects that result from a particular Internet media planning and purchasing plan. Machine learning techniques are used to form a stimulus attribution predictive model based on stimulus data records and respective response data records received over a network path. Additional predictive models are formed, including (1) an ad inventory predictive model derived from ad inventory data records and (2) an ad pricing predictive model derived from ad pricing data records. A set of media spend allocation parameters are received from the management interface, and those parameters are used to produce predicted inventory changes that in turn affect parameters in the ad pricing predictive model. Media spend allocation performance parameters are predicted based on the affected media prices.
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