Patents Assigned to Twenty-Ten, Inc.
  • Publication number: 20150142563
    Abstract: A system. The system includes a computing device, a cookie pool module and an instruction module. The computing device includes a processor. The cookie pool module is communicably connected to the processor and is configured to receive cookie pool data and utilize the received cookie pool data to associate a targeted consumer with a corresponding digital device. The instruction module is communicably connected to the processor and is configured to send an instruction to have digital information sent to the digital device.
    Type: Application
    Filed: November 21, 2014
    Publication date: May 21, 2015
    Applicant: Twenty-Ten, Inc.
    Inventors: David M. Diamond, Sheldon H. Smith, Kathi Kim-Ellen Hurst
  • Publication number: 20150032676
    Abstract: A system. The system includes a computing device, an instance module, a topics module, an analysis module, a matching module, a modeling module and a targeting module. The computing device includes a processor and is configured to access social media information. Each of the modules are communicably connected to the processor. The instance module is configured to identify at least one of the following: a high-frequency word included in the social media information, and a high-frequency phrase included in the accessed social media information. The topics module is configured to generate a dictionary of topics associated with the accessed social media information. The analysis module is configured to analyze data from a plurality of social media accounts to generate a social media database. The matching module is configured to match a survey respondent with an associated user name included in the social media database.
    Type: Application
    Filed: July 23, 2013
    Publication date: January 29, 2015
    Applicant: Twenty-Ten, Inc.
    Inventors: Sheldon H. Smith, David M. Diamond, Kathi Kim-Ellen Hurst
  • Patent number: 8650184
    Abstract: A method. The method includes receiving, at a computing device, data associated with a first plurality of consumers. The data comprises a combination of behavioral data and attitudinal data. The method also includes assigning a consumer of the first plurality of consumers to a first respective segments based on the received data, wherein the assigning is performed by the computing device. The method further includes calculating a goodness-of-fit score for the consumer of the first plurality of consumers for the first segment, wherein the calculating is performed by the computing device. Additionally, the method includes calculating a predicted goodness-of-fit score for a consumer of a second plurality of consumers for the first segment, the second plurality of consumers including at least the first plurality of consumers, wherein the calculating is performed by the computing device.
    Type: Grant
    Filed: February 4, 2011
    Date of Patent: February 11, 2014
    Assignee: Twenty-Ten, Inc.
    Inventors: Craig Kowalchuk, Sheldon Smith, David Diamond, Raymond Ferris
  • Publication number: 20130132101
    Abstract: A system. The system includes a computing device and a combiner module. The computing device includes a processor. The combiner module is communicably connected to the processor, and is configured to combine a score generated by a behavioral targeting model with a score generated by an attitudinal targeting model.
    Type: Application
    Filed: November 17, 2011
    Publication date: May 23, 2013
    Applicant: Twenty-Ten, Inc.
    Inventors: Craig W. Kowalchuck, Sheldon H. Smith, David Diamond, Raymond Ferris
  • Publication number: 20120330713
    Abstract: A method. The method is implemented at least in part by a computing device. The method includes matching information in a first database with corresponding entries in a second database, utilizing a targeting engine to calculate a score for at least a portion of the consumers in the first database, and ranking at least a portion of the consumers in the first database based on the calculated scores. The second database is larger than the first database. The method also includes comparing media behavior of a first group of ranked consumers in the first database with media behavior of a second group of consumers in the first database. The matching, calculating, ranking and comparing are performed by the computing device.
    Type: Application
    Filed: June 24, 2011
    Publication date: December 27, 2012
    Applicant: Twenty-Ten, Inc.
    Inventors: Craig W. Kowalchuk, Sheldon H. Smith, David Diamond
  • Publication number: 20120203780
    Abstract: A method. The method includes receiving, at a computing device, data associated with a first plurality of consumers. The data comprises a combination of behavioral data and attitudinal data. The method also includes assigning a consumer of the first plurality of consumers to a first respective segments based on the received data, wherein the assigning is performed by the computing device. The method further includes calculating a goodness-of-fit score for the consumer of the first plurality of consumers for the first segment, wherein the calculating is performed by the computing device. Additionally, the method includes calculating a predicted goodness-of-fit score for a consumer of a second plurality of consumers for the first segment, the second plurality of consumers including at least the first plurality of consumers, wherein the calculating is performed by the computing device.
    Type: Application
    Filed: February 4, 2011
    Publication date: August 9, 2012
    Applicant: Twenty-Ten, Inc.
    Inventors: Craig Kowalchuck, Sheldon Smith, David Diamond, Raymond Ferris
  • Patent number: 7835940
    Abstract: Disclosed herein are systems and methods for selecting a target group of consumers from a larger group of consumers in a computer database. Thus, for a given brand and marketing objective, the systems and methods provide for identifying the dimensions that define a relevant attitudinal consumer segment (or segments). In addition, the systems and methods select consumers, from an in-house or third party database containing appended variables, who are most attitudinally aligned with the target segment definition(s).
    Type: Grant
    Filed: December 19, 2008
    Date of Patent: November 16, 2010
    Assignee: Twenty-Ten, Inc.
    Inventor: Craig W. Kowalchuk
  • Patent number: 7472072
    Abstract: Disclosed herein are systems and methods for selecting a target group of consumers from a larger group of consumers in a computer database. Thus, for a given brand and marketing objective, the systems and methods provide for identifying the dimensions that define a relevant attitudinal consumer segment (or segments). In addition, the systems and methods select consumers, from an in-house or third party database containing appended variables, who are most attitudinally aligned with the target segment definition(s).
    Type: Grant
    Filed: April 9, 2004
    Date of Patent: December 30, 2008
    Assignee: Twenty-Ten, Inc.
    Inventor: Craig W. Kowalchuk