Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to optimize projection of big data beyond its footprint. An example apparatus includes memory, instructions, and processor circuitry to access panel audience sizes corresponding to subscribers of a media provider, a subset of the subscribers of the media provider, and corresponding to a media network determine a relative percent difference between the third panel audience size and the fourth panel audience size, when the relative percent absolute difference satisfies a first threshold, determine percentages of demographic groups represented in the panel audience sizes, determine differences associated with the demographic groups, and when at least one of the differences corresponding to at least one of the demographic groups satisfies a second threshold, determine the subscribers, the subset of the subscribers, and the at least one of the demographic groups as useable to determine an audience size of the media network.

Abstract: In various embodiments, strategies, tools and techniques are provided for using consumer purchaser behavior for targeting delivery of content to consumers through television and other media. An advertising measurement system, which may be accessible through a software-as-a-service model or a client-downloaded computer program, may be used to process and analyze data. The system may be configured to receive and process household media exposure data, product purchase data, advertising data, program data, and demographic data, wherein the data may be obtained from various sources, including from a program delivery source (e.g., a television set-top box) located in a household of a consumer. Data may be collected from a variety of people identification tools for analyzing the identities of one or more people viewing content delivered on a program delivery source. Data may also be collected from various types of metering devices.

Abstract: In various embodiments, strategies, tools and techniques are provided for using consumer purchaser behavior for targeting delivery of content to consumers through television and other media. An advertising measurement system, which may be accessible through a software-as-a-service model or a client-downloaded computer program, may be used to process and analyze data. The system may be configured to receive and process household media exposure data, product purchase data, advertising data, program data, and demographic data, wherein the data may be obtained from various sources, including from a program delivery source (e.g., a television set-top box) located in a household of a consumer. Data may be collected from a variety of people identification tools for analyzing the identities of one or more people viewing content delivered on a program delivery source. Data may also be collected from various types of metering devices.

Abstract: In various embodiments, strategies, tools and techniques are provided for using consumer purchaser behavior for targeting delivery of content to consumers through television and other media. An advertising measurement system, which may be accessible through a software-as-a-service model or a client-downloaded computer program, may be used to process and analyze data. The system may be configured to receive and process household media exposure data, product purchase data, advertising data, program data, and demographic data, wherein the data may be obtained from various sources, including from a program delivery source (e.g., a television set-top box) located in a household of a consumer. Data may be collected from a variety of people identification tools for analyzing the identities of one or more people viewing content delivered on a program delivery source. Data may also be collected from various types of metering devices.

Abstract: In various embodiments, strategies, tools and techniques are provided for processing and analyzing data in an advertising measurement system accessible through a software-as-a-service model or a client-downloaded computer program. The system may be configured to receive and process household media exposure data, product purchase data, advertising data, program data, and demographic data, wherein the data may be obtained from various sources, including from a program delivery source (e.g., a television set-top box) located in a household of a consumer. The data may be matched and cross-correlated for calculating return on advertising investment measurements and other metrics. The data may be used to optimize media placement generally or to address advertising content to specific households. Methods for storing and accessing data in the advertising measurement system by distributing the data across multiple shards are also provided. In addition, methods for protecting privacy of communicated data are disclosed.

Abstract: In various embodiments, strategies, tools and techniques are provided for processing and analyzing data in an advertising measurement system accessible through a software-as-a-service model or a client-downloaded computer program. The system may be configured to receive and process household media exposure data, product purchase data, advertising data, program data, and demographic data, wherein the data may be obtained from various sources, including from a program delivery source (e.g., a television set-top box) located in a household of a consumer. The data may be matched and cross-correlated for calculating return on advertising investment measurements and other metrics. The data may be used to optimize media placement generally or to address advertising content to specific households. Methods for storing and accessing data in the advertising measurement system by distributing the data across multiple shards are also provided. In addition, methods for protecting privacy of communicated data are disclosed.

Abstract: In various embodiments, strategies, tools and techniques are provided for processing and analyzing data in an advertising measurement system accessible through a software-as-a-service model or a client-downloaded computer program. The system may be configured to receive and process household media exposure data, product purchase data, advertising data, program data, and demographic data, wherein the data may be obtained from various sources, including from a program delivery source (e.g., a television set-top box) located in a household of a consumer. The data may be matched and cross-correlated for calculating return on advertising investment measurements and other metrics. The data may be used to optimize media placement generally or to address advertising content to specific households. Methods for storing data in the advertising measurement system by distributing the data across multiple shards are also provided. In addition, methods for protecting privacy of communicated data are disclosed.

Abstract: In various embodiments, strategies, tools and techniques are provided for processing and analyzing data in an advertising measurement system accessible through a software-as-a-service model or a client-downloaded computer program. The system may be configured to receive and process household media exposure data, product purchase data, advertising data, program data, and demographic data, wherein the data may be obtained from various sources, including from a program delivery source (e.g., a television set-top box) located in a household of a consumer. The data may be matched and cross-correlated for calculating return on advertising investment measurements and other metrics. The data may be used to optimize media placement generally or to address advertising content to specific households. Methods for storing data in the advertising measurement system by distributing the data across multiple shards are also provided. In addition, methods for protecting privacy of communicated data are disclosed.