Abstract: Computer-implemented systems, methods, and computer-readable media for identifying one or more target consumers associated with an addressable television can include receiving, by at least one of the one or more computing devices, attitudinal data related to at least one product or service, and developing, by at least one of the one or more computing devices, one or more target profiles based at least in part on the attitudinal data. The systems, methods and media can include receiving, by at least one of the one or more computing devices, appended data from the data provider, the appended data including at least one of demographic, behavioral, and locational data corresponding to the plurality of market consumers, and identifying, by at least one of the one or more computing devices, one or more target consumers based on a correlation between the appended data and the one or more target profiles.

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.

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.

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.

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.