1
Gil Beyda, Donald J Locker, Krishna Balasubramanian, Kevin M McDonald, Albert E Wenger, Joseph G Wilson: Audience targeting system with segment management. Tacoda, David R Yohannan, Kelley Drye & Warren, April 3, 2012: US08150732 (5 worldwide citation)

Systems, methods and apparatus for delivering content to an audience member over a computer network. A console allows a user to define audience segments that are organized in hierarchical fashion. The segments are then calculated by collecting profile data for audience members and determining whethe ...


2
Gil Beyda, Krishna Balasubramanian, Donald J Locker, Kevin M McDonald, Joseph G Wilson, David R Morgan, Alison P Lowry, Charles C Smith: Network for matching an audience with deliverable content. Tacoda, Kelley Drye Warren, June 11, 2013: US08464290

An audience matching network includes local domains that collect information about audience members, including behavioral and characteristics information. A network profile corresponding to information collected in the local domains is provided, and supports the definition of network audience segmen ...


3
Mario Andres Morales, Krishna Balasubramanian, Yuliya Torosjan, Jackie Kellon Smith II, Jeffrey Storan, Donald J Locker, Shaun Delaney Espiritu, Ross Allen Levin: Methods and systems for forecasting and measurement of media viewership using a combination of data sets. SIMULMEDIA, Ascenda Law Group PC, June 7, 2016: US09363557

Future media viewership is forecast based on time ordered analysis of historical viewership information from an individual or combination of a plurality of data sets. Forecast models having coefficients derived from comparisons of time series representations of data sets across a plurality of time p ...


4
Joseph G Wilson IV, Donald J Locker, Arthur G Dolimpio Jr: System and method for determining client metadata using a dynamic rules engine. Tacoda, David R Yohannan, Kelley Drye & Warren, June 7, 2011: US07958106

A system and method for determining client metadata using a dynamic rules engine is disclosed. The system may include a universal data agent, a site management tool, a targeting engine, an ad server, and a data warehouse. When a visitor visits a site on a content delivery system, the universal data ...


5
Joseph G Wilson, Donald J Locker, Arthur G Dolimpio: System and method for determining client metadata using a dynamic rules engine. Kelley Drye & Warren, September 18, 2008: US20080228791-A1

A system and method for determining client metadata using a dynamic rules engine is disclosed. The system may include a universal data agent, a site management tool, a targeting engine, an ad server, and a data warehouse. When a visitor visits a site on a content delivery system, the universal data ...


6
Gil Beyda, Donald J Locker, Krishna Balasubramanian, Kevin M McDonald, Albert E Wenger, Joseph G Wilson: Audience targeting system with segment management. Collier Shannon Scott Pllc, June 9, 2005: US20050125289-A1

Systems, methods and apparatus for delivering content to an audience member over a computer network. A console allows a user to define audience segments that are organized in hierarchical fashion. The segments are then calculated by collecting profile data for audience members and determining whethe ...


7
Gil Beyda, Donald J Locker, Krishna Balasubramanian, Kevin M McDonald, Albert E Wenger, Joseph G Wilson: Audience targeting system with profile synchronization. Collier Shannon Scott Pllc, June 9, 2005: US20050125290-A1

Systems, methods and apparatus for delivering content to an audience member over a computer network. A console allows a user to define audience segments that are organized in hierarchical fashion. The segments are then calculated by collecting profile data for audience members and determining whethe ...


8
Gil Beyda, Krishna Balasubramanian, Donald J Locker, Kevin M McDonald, Joseph G Wilson, David R Morgan, Alison P Lowry, Charles C Smith: Network for matching an audience with deliverable content. Collier Shannon Scott Pllc, July 28, 2005: US20050166233-A1

An audience matching network includes local domains that collect information about audience members, including behavioral and characteristics information. A network profile corresponding to information collected in the local domains is provided, and supports the definition of network audience segmen ...


9
Gil Beyda, Krishna Balasubramanian, Donald J Locker, Kevin M McDonald, Joseph G Wilson, David R Morgan, Alison P Lowry: Audience matching network with performance factoring and revenue allocation. Collier Shannon Scott Pllc, July 28, 2005: US20050165644-A1

Performance based delivery of content to an audience member. A network of audience member information collection domains provide information about audience members. A profiled audience member may belong to a network segment. Delivery of an advertisement to the profiled audience member is accommodate ...



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