Patents by Inventor Jay Prasad

Jay Prasad 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).

  • Publication number: 20170034592
    Abstract: The technology relates to sequential or tailored delivery of advertising content across a plurality of media conduits. The invention achieves sequential story telling for advertising campaigns in place of single-series advertising, by delivering over a period of several sessions on a variety of devices. An advertiser can air a campaign on a consumer individual's cell phone device, continue the second portion of the campaign via a desktop browser session, and conclude with the third portion of the campaign on the individual's OTT device. The technology provides advanced controls over targeting and scheduling with high precision.
    Type: Application
    Filed: July 25, 2016
    Publication date: February 2, 2017
    Inventors: Debajyoti Ray, Ross McCray, David Gullo, Jay Prasad
  • Publication number: 20170034591
    Abstract: Within an advertising buying platform, advertising buyers are able to direct advertising content to TV/OTT/VOD inventory that matches targeted market segments. The advertising buyers select from a list of available market segments, and the system pairs the market segments to an anonymous dataset of media consumers (using a database of hashed online IDs). The dataset of hashed online IDs is then mapped to external OEM IDs (such as from a Smart TV) via the functions of a hashed identity mapping method. This permits the advertiser to target advertising content to a population of TV viewers. Also described herein are methods of bidding on programmatic TV content.
    Type: Application
    Filed: July 25, 2016
    Publication date: February 2, 2017
    Inventors: Debajyoti Ray, Ross McCray, David Gullo, Jay Prasad
  • Publication number: 20170034593
    Abstract: The present invention is directed to statistical methods for measuring cross-screen efficacy as it relates to advertising. The improved statistical methods provide the ability for advertisers and advertising agencies to predict the behaviors of consumers based on their aggregated cross-screen behavior. The system creates a new output that includes optimized user segments and classifications. A second part of the output is improved measurement and prediction of future consumer behaviors based on the processed multi-sided data on cross-screen behavior.
    Type: Application
    Filed: July 25, 2016
    Publication date: February 2, 2017
    Inventors: Debajyoti Ray, Ross McCray, David Gullo, Jay Prasad