Patents by Inventor Julian Richard Taverner Smith

Julian Richard Taverner Smith has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Data platform and analytics for predicting media metrics
    Patent number: 10762524
    Abstract: A device obtains data, for a current media plan, that includes a cost adjustment factor, a duration of an unexecuted portion of the current media plan that is divisible into periods of time, and an unutilized budget, for the duration, that is divisible into budget portions based on the periods of time. The device generates a predictive baseline cost parameter by adjusting, by the cost adjustment factor, a baseline cost parameter of a previously implemented baseline media plan. The device predicts cost metrics for the current media plan using the predictive baseline cost parameter, and predicts performance metrics for the current media plan based on the cost metrics and predictive baseline cost parameter. The device determines target cost per point (CPP) values for the current media plan based on the cost metrics and performance metrics, and causes an action to be performed based on the target CPP values.
    Type: Grant
    Filed: July 30, 2018
    Date of Patent: September 1, 2020
    Assignee: Accenture Global Solutions Limited
    Inventors: Nicola Sarah Vanessa Poynter, Suchit Malhotra, Rahul Jairath, Shaifali Panwar, Saurabh Kumar Singh, Julian Richard Taverner Smith
  • DATA PLATFORM AND ANALYTICS FOR PREDICTING MEDIA METRICS
    Publication number: 20200034873
    Abstract: A device obtains data, for a current media plan, that includes a cost adjustment factor, a duration of an unexecuted portion of the current media plan that is divisible into periods of time, and an unutilized budget, for the duration, that is divisible into budget portions based on the periods of time. The device generates a predictive baseline cost parameter by adjusting, by the cost adjustment factor, a baseline cost parameter of a previously implemented baseline media plan. The device predicts cost metrics for the current media plan using the predictive baseline cost parameter, and predicts performance metrics for the current media plan based on the cost metrics and predictive baseline cost parameter. The device determines target cost per point (CPP) values for the current media plan based on the cost metrics and performance metrics, and causes an action to be performed based on the target CPP values.
    Type: Application
    Filed: July 30, 2018
    Publication date: January 30, 2020
    Inventors: Nicola Sarah Vanessa Poynter, Suchit Malhotra, Rahul Jairath, Shaifali Panwar, Saurabh Kumar Singh, Julian Richard Taverner Smith