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US Patent 10592917 Method and systems for determining programmatically expected performances

Patent 10592917 was granted and assigned to Cox Automotive on March, 2020 by the United States Patent and Trademark Office.

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Patent
Patent
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Patent attributes

Current Assignee
Cox Automotive
Cox Automotive
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
105929170
Patent Inventor Names
Sumana Ganne0
Eric Kim0
Karen Simmons0
Ryan Wright0
Date of Patent
March 17, 2020
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Patent Application Number
155858820
Date Filed
May 3, 2017
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Patent Citations Received
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US Patent 11715130 Systems and methods for designing targeted marketing campaigns
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Patent Primary Examiner
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Matthew T Sittner
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Patent abstract

Embodiments of the present disclosure provide methods, systems, apparatuses, and computer program products for assessing a performance and/or determining a programmatically expected performance of a marketing campaign. In one embodiment a method for creating a unified data set from a plurality of data sets received from third-party service providers is disclosed. In one embodiment, a graphical user interface is used to facilitate user access to visual representation of the unified data set. In one embodiment, the unified data set may be used to train a machine learning model. In some implementations, the machine learning model may predict an expected performance for marketing campaigns. In one embodiment, the machine learning model may adjust one or more parameters of the marketing campaign in order to increase the effectiveness of the marketing campaign and the associated revenue.

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