Abstract: A method includes receiving audio data from a microphone of a device associated with a user. The audio data includes audio received by the microphone from a first source and from a second source. The audio data is correlated with a first audio signature and a second audio signature. Then, based on the correlation of the audio data with the first audio signature, first content broadcast from the first source is identified. Second content broadcast from the second source is also identified based on the correlation of the audio data with the second audio signature. It is then determined that the device is closer to the first source than the second source based on audio qualities and/or temporal aspects of the audio data. The first content is associated with the user based on the determination that the device is closer to the first source.

Abstract: Audience engagement is analyzed by receiving at least one analysis parameter comprising a content selection parameter, identifying one or more content based on the content selection parameter, determining viewership for the one or more content, determining one or more keywords for the one or more content based on the content, filtering social media messages based on the determined one or more keywords, and calculating an audience engagement measurement corresponding to the one or more content based on the viewership and the social media messages.

Abstract: A method includes receiving audio data from a microphone of a device associated with a user. The audio data includes audio received by the microphone from a first source and from a second source. The audio data is correlated with a first audio signature and a second audio signature. Then, based on the correlation of the audio data with the first audio signature, first content broadcast from the first source is identified. Second content broadcast from the second source is also identified based on the correlation of the audio data with the second audio signature. It is then determined that the device is closer to the first source than the second source based on audio qualities and/or temporal aspects of the audio data. The first content is associated with the user based on the determination that the device is closer to the first source.

Abstract: A system and method to analyze the effectiveness of advertisements of presented content. The advertisements include advertisements for which the behavior desired by the advertiser is to drive a viewer to perform a certain action, such as to watch particular television program content. The system determines if an advertisement is effective by correlating exposure to presented advertisements with the subsequent presentation of content that was promoted in the advertisements. To perform the analysis, the system collects tune data from set top boxes, digital video recorders (DVRs), or other component capable of storing tune data related to the content presented on an associated display component.

Abstract: Systems and methods for measuring consumption of entertainment commodities distributed through at least two distribution channels by at least one distribution network operator to one or more media receivers. The methods include collecting consumption data from at least one distribution network operator. The at least one distribution network operator distributes entertainment commodities through at least a first distribution channel and a second distribution channel. The collected consumption data relates to entertainment commodities distributed through at least the first distribution channel and the second distribution channel. The collected consumption data includes at least one inconsistency. The collected consumption data is loaded into a computerized database adapted to store, process, and report on consumption. Cleaned consumption data is produced by reconciling consumption data inconsistencies. A consumption data report is based at least in part on the cleaned consumption data.

Abstract: A method includes receiving audio data from a microphone of a device associated with a user. The audio data includes audio received by the microphone from a first source and from a second source. The audio data is correlated with a first audio signature and a second audio signature. Then, based on the correlation of the audio data with the first audio signature, first content broadcast from the first source is identified. Second content broadcast from the second source is also identified based on the correlation of the audio data with the second audio signature. It is then determined that the device is closer to the first source than the second source based on audio qualities and/or temporal aspects of the audio data. The first content is associated with the user based on the determination that the device is closer to the first source.

Abstract: Audience engagement is analyzed by receiving at least one analysis parameter comprising a content selection parameter, identifying one or more content based on the content selection parameter, determining viewership for the one or more content, determining one or more keywords for the one or more content based on the content, filtering social media messages based on the determined one or more keywords, and calculating an audience engagement measurement corresponding to the one or more content based on the viewership and the social media messages.

Abstract: A computer system may include at least one processor and at least one memory storing instructions that, when executed, cause the at least one processor to perform a process. The process may include receiving audio data from a user device, and accessing content data including at least one audio signature associated with video content. The process may also include correlating the audio data with the at least one audio signature and identifying recognized video content based on the correlation of the audio data with the at least one audio. The process may also include receiving tuning data including content being presented on a display component. The process may further include correlating the recognized video content with the tuning data, determining viewed video content based on the correlation of the recognized video content with the tuning data, and storing the viewed video content in a user array.

Abstract: Various embodiments disclose a system and methods for media content analysis based at least in part upon social media data. In some embodiments, a computer system may determine a viewership associated with a selected piece of televised content such as a television show or advertisement. The computer system may also identify social media data such as social media messages associated with the selected piece of televised content. The computer system may calculate an audience engagement measurement corresponding to the selected piece of televised content based upon the social media data and the viewership.

Abstract: A computer system may include at least one processor and at least one memory storing instructions that, when executed, cause the at least one processor to perform a process. The process may include receiving audio data from a user device, and accessing content data including at least one audio signature associated with video content. The process may also include correlating the audio data with the at least one audio signature and identifying recognized video content based on the correlation of the audio data with the at least one audio. The process may also include receiving tuning data including content being presented on a display component. The process may further include correlating the recognized video content with the tuning data, determining viewed video content based on the correlation of the recognized video content with the tuning data, and storing the viewed video content in a user array.

Abstract: A computer system may include at least one processor and at least one memory storing instructions that, when executed, cause the at least one processor to perform a process. The process may include receiving audio data from a user device, and accessing content data including at least one audio signature associated with video content. The process may also include correlating the audio data with the at least one audio signature and identifying recognized video content based on the correlation of the audio data with the at least one audio. The process may also include receiving tuning data including content being presented on a display component. The process may further include correlating the recognized video content with the tuning data, determining viewed video content based on the correlation of the recognized video content with the tuning data, and storing the viewed video content in a user array.

Abstract: Systems and methods for analyzing viewing behavior of users viewing video content and advertisements are provided. A system may periodically or continuously receive tune data reflecting the viewing behavior of users, analyze the viewing behavior to determine a location and time period of advertisement blocks in a viewed segment, and determine parameters reflecting a comparison between a number of viewers that viewed the advertisement blocks and a number of viewers that viewed non-advertised content. The system may also deliver a report of the analysis to advertisers, agencies, media sellers, or other parties that are interested in measuring the effectiveness of advertisements on users. The analysis by the system can be done over multiple different types of content-distribution platforms.

Abstract: Systems and methods for measuring consumption of entertainment commodities distributed through at least two distribution channels by at least one distribution network operator to one or more media receivers. The methods include collecting consumption data from at least one distribution network operator. The at least one distribution network operator distributes entertainment commodities through at least a first distribution channel and a second distribution channel. The collected consumption data relates to entertainment commodities distributed through at least the first distribution channel and the second distribution channel. The collected consumption data includes at least one inconsistency. The collected consumption data is loaded into a computerized database adapted to store, process, and report on consumption. Cleaned consumption data is produced by reconciling consumption data inconsistencies. A consumption data report is based at least in part on the cleaned consumption data.

Abstract: Systems and methods for measuring consumption of entertainment commodities distributed through at least two distribution channels by at least one distribution network operator to one or more media receivers. The methods include collecting consumption data from at least one distribution network operator. The at least one distribution network operator distributes entertainment commodities through at least a first distribution channel and a second distribution channel. The collected consumption data relates to entertainment commodities distributed through at least the first distribution channel and the second distribution channel. The collected consumption data includes at least one inconsistency. The collected consumption data is loaded into a computerized database adapted to store, process, and report on consumption. Cleaned consumption data is produced by reconciling consumption data inconsistencies. A consumption data report is based at least in part on the cleaned consumption data.

Abstract: Various embodiments disclose a system and methods for media content analysis based at least in part upon social media data. In some embodiments, a computer system may determine a viewership associated with a selected piece of televised content such as a television show or advertisement. The computer system may also identify social media data such as social media messages associated with the selected piece of televised content. The computer system may calculate an audience engagement measurement corresponding to the selected piece of televised content based upon the social media data and the viewership.

Abstract: Systems and methods for analyzing viewing behavior of users viewing video content and advertisements are provided. A system may periodically or continuously receive tune data reflecting the viewing behavior of users, analyze the viewing behavior to determine a location and time period of advertisement blocks in a viewed segment, and determine parameters reflecting a comparison between a number of viewers that viewed the advertisement blocks and a number of viewers that viewed non-advertised content. The system may also deliver a report of the analysis to advertisers, agencies, media sellers, or other parties that are interested in measuring the effectiveness of advertisements on users. The analysis by the system can be done over multiple different types of content-distribution platforms.

Abstract: Various embodiments disclose a system and methods for media content analysis based at least in part upon social media data. In some embodiments, a computer system may identify social media messages corresponding to televised content. For example, following the uploading of a television show (or advertisement) to an Internet website, or transmission across a television network, viewers and non-viewers of the show may begin commenting upon the show. The system may correlate the number of viewers of the show with the social media messages to generate one or more metrics describing relations between the show's viewership and the show's social media effects.

Abstract: A system and method for analyzing the viewing behavior of end users that are viewing video content to determine the likely presence of one or more advertisements being viewed and to assess the viewers who stop viewing during the course of such advertisements. The system periodically or continuously receives tune data reflecting the viewing behavior of end users, analyzes the cumulative viewing behavior reflected by the received tune data, and delivers a report of the analysis to advertisers, agencies, media sellers, or other parties that are interested in measuring the effectiveness of advertisements on end users. The analysis by the system can be done over multiple different types of content-distribution platforms.

Abstract: A computer system may include at least one processor and at least one memory storing instructions that, when executed, cause the at least one processor to perform a process. The process may include receiving audio data from a user device, and accessing content data including at least one audio signature associated with video content. The process may also include correlating the audio data with the at least one audio signature and identifying recognized video content based on the correlation of the audio data with the at least one audio. The process may also include receiving tuning data including content being presented on a display component. The process may further include correlating the recognized video content with the tuning data, determining viewed video content based on the correlation of the recognized video content with the tuning data, and storing the viewed video content in a user array.

Abstract: A system and methods for estimating network subscription coverage within or across various markets. The system generates estimates of viewers that subscribe to certain network subscription packages in various geographic markets. The estimates may be organized in different fashions, such as organized by households, by income or other demographic, etc. In some embodiments, the system iteratively scales an estimated viewership count in a given market based on existing subscription data across all the markets and demographic characteristics of the various markets. The system may also redistribute estimates based on market capacity.