USING CONSUMER PURCHASE BEHAVIOR FOR TELEVISION TARGETING
First Claim
1. A computer-implemented method for facilitating analysis of consumer behavior in association with advertising exposure or program delivery, the method comprising:
- collecting in an advertising measurement system;
(i) clickstream data from a program delivery source of a consumer, wherein collecting the clickstream data is not dependent on a supplemental data collection device, and also wherein the collected clickstream data includes household data;
(ii) advertising data associated with delivery of the program by the program delivery source, wherein collecting the advertising data is not dependent on a supplemental data collection device, and also wherein the collected advertising data includes household level data associated with multiple consumer households;
(iii) programming data associated with the program delivered on the program delivery source, wherein collecting the programming data is not dependent on a supplemental data collection device, and also wherein the collected programming data includes household level data associated with multiple consumer households; and
,(iv) purchase data from a purchase data source, wherein collecting the purchase data is not dependent on a supplemental data collection device, and also wherein the collected purchase data includes household data;
matching at least portions of the collected advertising data, the collected clickstream data, the collected purchase data, and the collected programming data in the advertising measurement system at a household data level with at least one electronic computer processor configured for processing data received from the program delivery source, the advertising data source, the programming data source, and the purchase data source, wherein the matching further includes;
(i) grouping the collected data in association with an identifier of each consumer household without processing any personally identifiable information associated with the consumer household, and(ii) matching each identifier associated with each consumer household with other identifiers associated with the same consumer household without processing any personally identifiable information associated with the consumer household;
storing the matched advertising data, clickstream data, purchase data, and programming data in at least one electronic data storage medium operatively associated with the computer processor;
applying at least one cleansing algorithm or editing algorithm to the collected data, the matched data or the stored data; and
,optimizing an advertising campaign in connection with maximizing reach for a target population.
8 Assignments
0 Petitions
Accused Products
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.
32 Citations
3 Claims
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1. A computer-implemented method for facilitating analysis of consumer behavior in association with advertising exposure or program delivery, the method comprising:
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collecting in an advertising measurement system; (i) clickstream data from a program delivery source of a consumer, wherein collecting the clickstream data is not dependent on a supplemental data collection device, and also wherein the collected clickstream data includes household data; (ii) advertising data associated with delivery of the program by the program delivery source, wherein collecting the advertising data is not dependent on a supplemental data collection device, and also wherein the collected advertising data includes household level data associated with multiple consumer households; (iii) programming data associated with the program delivered on the program delivery source, wherein collecting the programming data is not dependent on a supplemental data collection device, and also wherein the collected programming data includes household level data associated with multiple consumer households; and
,(iv) purchase data from a purchase data source, wherein collecting the purchase data is not dependent on a supplemental data collection device, and also wherein the collected purchase data includes household data; matching at least portions of the collected advertising data, the collected clickstream data, the collected purchase data, and the collected programming data in the advertising measurement system at a household data level with at least one electronic computer processor configured for processing data received from the program delivery source, the advertising data source, the programming data source, and the purchase data source, wherein the matching further includes; (i) grouping the collected data in association with an identifier of each consumer household without processing any personally identifiable information associated with the consumer household, and (ii) matching each identifier associated with each consumer household with other identifiers associated with the same consumer household without processing any personally identifiable information associated with the consumer household; storing the matched advertising data, clickstream data, purchase data, and programming data in at least one electronic data storage medium operatively associated with the computer processor; applying at least one cleansing algorithm or editing algorithm to the collected data, the matched data or the stored data; and
,optimizing an advertising campaign in connection with maximizing reach for a target population.
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2. A computer-implemented method for facilitating analysis of consumer behavior in association with advertising exposure or program delivery, the method comprising:
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collecting in an advertising measurement system; (i) clickstream data from a program delivery source of a consumer, wherein collecting the clickstream data is not dependent on a supplemental data collection device, and also wherein the collected clickstream data includes household data; (ii) advertising data associated with delivery of the program by the program delivery source, wherein collecting the advertising data is not dependent on a supplemental data collection device, and also wherein the collected advertising data includes household level data associated with multiple consumer households; (iii) programming data associated with the program delivered on the program delivery source, wherein collecting the programming data is not dependent on a supplemental data collection device, and also wherein the collected programming data includes household level data associated with multiple consumer households; and
,(iv) purchase data from a purchase data source, wherein the purchase data are obtained directly from an advertiser, and also wherein the collected purchase data includes household data; matching at least portions of the collected advertising data, the collected clickstream data, the collected advertiser purchase data, and the collected programming data in the advertising measurement system at a household data level with at least one electronic computer processor configured for processing data received from the program delivery source, the advertising data source, the programming data source, and the purchase data source, wherein the matching further includes; (i) grouping the collected data in association with an identifier of each consumer household without processing any personally identifiable information associated with the consumer household, and (ii) matching each identifier associated with each consumer household with other identifiers associated with the same consumer household without processing any personally identifiable information associated with the consumer household; storing the matched advertising data, clickstream data, advertiser purchase data, and programming data in at least one electronic data storage medium operatively associated with the computer processor; applying at least one cleansing algorithm or editing algorithm to the collected data, the matched data or the stored data; executing at least one algorithm based on at least a portion of the clickstream data, the advertiser purchase data, the programming data, or the advertising data; and
,calculating at least one return on investment metric or true target index metric based on the collected data, the matched data or the stored data.
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3. A computer-implemented method for facilitating analysis of consumer behavior in association with advertising exposure or program delivery, the method comprising:
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collecting in an advertising measurement system; (i) clickstream data from a program delivery source of a consumer, wherein collecting the clickstream data is not dependent on a supplemental data collection device, and also wherein the collected clickstream data includes household data; (ii) advertising data associated with delivery of the program by the program delivery source, wherein collecting the advertising data is not dependent on a supplemental data collection device, and also wherein the collected advertising data includes household level data associated with multiple consumer households; (iii) programming data associated with the program delivered on the program delivery source, wherein collecting the programming data is not dependent on a supplemental data collection device, and also wherein the collected programming data includes household level data associated with multiple consumer households; and
,(iv) purchase data from a purchase data source, wherein collecting the purchase data is not dependent on a supplemental data collection device, and also wherein the collected purchase data includes household data; matching at least portions of the collected advertising data, the collected clickstream data, the collected purchase data, and the collected programming data in the advertising measurement system at a household data level with at least one electronic computer processor configured for processing data received from the program delivery source, the advertising data source, the programming data source, and the purchase data source, wherein the matching further includes; (i) grouping the collected data in association with an identifier of each consumer household without processing any personally identifiable information associated with the consumer household, and (ii) matching each identifier associated with each consumer household with other identifiers associated with the same consumer household without processing any personally identifiable information associated with the consumer household; storing the matched advertising data, clickstream data, purchase data, and programming data in at least one electronic data storage medium operatively associated with the computer processor; applying at least one cleansing algorithm or editing algorithm to the collected data, the matched data or the stored data; and
,calculating at least one return on investment metric to optimize an advertising campaign based on return on investment and based on the collected data, the matched data, or the stored data.
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Specification