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Automated creative extension selection for content performance optimization

  • US 10,489,818 B2
  • Filed: 08/05/2014
  • Issued: 11/26/2019
  • Est. Priority Date: 06/27/2014
  • Status: Active Grant
First Claim
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1. A method for optimizing content performance, the method comprising:

  • receiving, at a processing circuit, a request for third-party content to present on a client device, the request indicating a serving context for the third-party content;

    selecting, by the processing circuit and in response to the request, a creative of a third-party content provider for presenting within a third-party content item to the client device;

    identifying, by the processing circuit and based on the serving context, a plurality of creative extension types available for inclusion in the third-party content item, each of the plurality of creative extension types defining a different action that occurs in response to a user interaction with the third-party content item;

    calculating, by the processing circuit and using a creative extension performance model and the serving context, a plurality of predicted performance metric values of the third-party content item, each predicted performance metric value representing a corresponding predicted performance of the content item when a respective creative extension having one of the plurality of creative extension types is included in the third-party content item;

    selecting, by the processing circuit, a creative extension having a creative extension type associated with a highest predicted performance metric value among the plurality of predicted performance metric values of the third-party content item calculated using the creative extension performance model;

    generating, by the processing circuit and in response to the request, the third-party content item having the selected creative and the selected creative extension; and

    serving the generated third-party content item to the client device.

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