Abstract: Embodiments of the present disclosure may provide a data clean room allowing secure data analysis across multiple accounts, without the use of third parties. Each account may be associated with a different company or party. The data clean room may provide security functions to safeguard sensitive information. For example, the data clean room may restrict access to data in other accounts. The data clean room may also restrict which data may be used in the analysis and may restrict the output. The overlap data may be anonymized to prevent sensitive information from being revealed.

Abstract: The technology relates to sequential or tailored delivery of advertising content across a plurality of media conduits. The invention achieves sequential story telling for advertising campaigns in place of single-series advertising, by delivering over a period of several sessions on a variety of devices. An advertiser can air a campaign on a consumer individual's cell phone device, continue the second portion of the campaign via a desktop browser session, and conclude with the third portion of the campaign on the individual's OTT device. The technology provides advanced controls over targeting and scheduling with high precision.

Abstract: A method may include obtaining a platform data set. The method may also include providing a user interface operable to interact with the platform data set. The method may further include obtaining a natural language question from the user interface. The method may also include extracting at least one component from the natural language question. The method may further include identifying a first primitive and a second primitive. The method may also include transforming the natural language question into the tool query based on the at least one component using the first primitive. The method may further include executing the tool query in the tool using the second primitive to obtain query results from the platform data set associated with the natural language question. The method may also include providing the query results to the user interface in a natural language format.

Abstract: A method may include obtaining an advertising campaign, determining one or more devices associated with a consumer, and associating the one or more devices with a consumer identifier. The method also includes obtaining data associated with the one or more devices associated and corresponding the data with the consumer identifier. The method also includes deduplicating the data related to the consumer identifier across one or more viewing methods. The method also includes displaying the deduplicated data. The method also includes adjusting the advertising campaign based on user input.

Abstract: A method may include obtaining demographic data from multiple households in a cleanroom. The method may include obtaining viewership data associated with displayed content from one or more data sources in the cleanroom. The viewership data may be generated by at least a portion of the multiple households. The method may include generating demographic scores using the viewership data and the demographic data with respect to viewers in the multiple households. The method may include estimating a first count of the viewers and a second count of the viewers of the displayed content. The method may include determining an impression score using the demographic scores and the first count of the viewers. The method may include determining a reach score using the demographic scores and the second count of the viewers. The method may include providing the impression score and the reach score in the cleanroom to a requesting entity.

Abstract: A method may include obtaining a request from a user for an attribution report associated with an advertising campaign. The method may also include obtaining, by a cleanroom, first data from a first data source. The method may further include obtaining, by the cleanroom, second data from a second data source. The method may also include aggregating the first data and the second data in the cleanroom into aggregated data. The method may further include performing, within the cleanroom, a transformation on the aggregated data to obtain the attribution report. The method may also include providing the attribution report to the user.

Abstract: A system includes non-transitory computer-readable storage media configured to store instructions and processors communicatively coupled to the non-transitory computer-readable storage media. The processors may execute instructions, which may cause the system to perform operations. The operations may include obtaining first data associated with a person location, where the first data may be a subset of a collection of person location data. The operations may also include obtaining second data associated with one or more displays in a venue, where the second data may be a subset of a collection of display data. The operations may further include determining a first weight corresponding to the first data relative to the collection of person location data and a second weight corresponding to the second data relative to the collection of display data. The operations may also include obtaining an estimate of the viewership data using the first data and the second data.

Abstract: A method may include obtaining a target audience for an advertising campaign. The target audience may include one or more audience identifiers. The method may also include storing the one or more audience identifiers in a privacy protection environment. The method may further include matching the one or more audience identifiers to an identity graph associated with a targetable universe of consumers to obtain at least one advertising target. The method may also include directing at least one advertisement of the advertising campaign to be provided to the at least one advertising target. The method may further include obtaining impression results associated with the advertising campaign relative to the at least one advertising target.

Abstract: A method may include obtaining an advertising campaign, determining one or more devices associated with a consumer, and associating the one or more devices with a consumer identifier. The method also includes obtaining data associated with the one or more devices associated and corresponding the data with the consumer identifier. The method also includes deduplicating the data related to the consumer identifier across one or more viewing methods. The method also includes displaying the deduplicated data. The method also includes adjusting the advertising campaign based on user input.

Abstract: Embodiments of the present disclosure may provide a data clean room allowing secure data analysis across multiple accounts, without the use of third parties. Each account may be associated with a different company or party. The data clean room may provide security functions to safeguard sensitive information. For example, the data clean room may restrict access to data in other accounts. The data clean room may also restrict which data may be used in the analysis and may restrict the output. The overlap data may be anonymized to prevent sensitive information from being revealed.

Abstract: A method may include obtaining a data set associated with viewing of digital content. The method may also include matching at least a portion of the data set to at least one consumer in a consumer graph to obtain person matched data. The method may further include extrapolating the person matched data to a total audience. The method may also include obtaining a total estimate of viewership data associated with the viewing of the digital content based on the extrapolated person matched data. The method may further include obtaining a viewership estimate of the digital content based on the total estimate of viewership data and the data set.

Abstract: A method may include obtaining an advertising campaign, determining one or more devices associated with a consumer, and associating the one or more devices with a consumer identifier. The method also includes obtaining data associated with the one or more devices associated and corresponding the data with the consumer identifier. The method also includes deduplicating the data related to the consumer identifier across one or more viewing methods. The method also includes displaying the deduplicated data. The method also includes adjusting the advertising campaign based on user input.

Abstract: The technology relates to sequential or tailored delivery of advertising content across a plurality of media conduits. The invention achieves sequential story telling for advertising campaigns in place of single-series advertising, by delivering over a period of several sessions on a variety of devices. An advertiser can air a campaign on a consumer individual's cell phone device, continue the second portion of the campaign via a desktop browser session, and conclude with the third portion of the campaign on the individual's OTT device. The technology provides advanced controls over targeting and scheduling with high precision.

Abstract: A method includes receiving first viewership data associated with a first consumer view of an advertisement of an advertising campaign, generating a first consumer characterization based on the first viewership data, and calculating a predictive model of consumer behavior in view of the first consumer characterization and a plurality of constraints. The method also includes running a first plurality of simulations using the predictive model in a plurality of advertisement campaigns. The method also includes receiving second viewership data associated with a second consumer view of the advertisement of the advertising campaign. The method also includes generating a second consumer characterization based on the second viewership data. The method also includes updating the predictive model in view of the second consumer characterization. The method also includes providing at least one of the first consumer characterization, the second consumer characterization, or the predictive model to a user interface.

Abstract: Embodiments of the present disclosure may provide a data clean room allowing secure data analysis across multiple accounts, without the use of third parties. Each account may be associated with a different company or party. The data clean room may provide security functions to safeguard sensitive information. For example, the data clean room may restrict access to data in other accounts. The data clean room may also restrict which data may be used in the analysis and may restrict the output. The overlap data may be anonymized to prevent sensitive information from being revealed.

Abstract: The technology relates to sequential or tailored delivery of advertising content across a plurality of media conduits. The invention achieves sequential story telling for advertising campaigns in place of single-series advertising, by delivering over a period of several sessions on a variety of devices. An advertiser can air a campaign on a consumer individual's cell phone device, continue the second portion of the campaign via a desktop browser session, and conclude with the third portion of the campaign on the individual's OTT device. The technology provides advanced controls over targeting and scheduling with high precision.

Abstract: The current invention relates to a computer-generated method for optimizing placement of advertising content across multiple different devices. The system can allocate advertising campaigns and plans to various inventory types based on the probability of accurate consumer matching. Consumer matching can be achieved by generation of look-alike models in a consumer's device graph to predict future consumption behavior. The system includes an interface through which an advertiser can access relevant information about inventory and success of a given placement.

Abstract: The current invention relates to a computer-generated method for optimizing placement of advertising content across multiple different devices. The system permits targeting of advertising content to consumers on TV and mobile devices that can be operated from within a multi-channel video programming distributor's environment. The system is able to use hard and soft constraints to come up with a number of possible targets for an advertising campaign and can then provide tools for optimizing those targets. The system can allocate advertising campaigns and plans to various inventory types based on the probability of accurate consumer matching. Consumer matching can be achieved by generation of look-alike models in a consumer's device graph to predict future consumption behavior. The system includes an interface through which a user can adjust various constraints and optimize a distributor's revenue yield from advertising.

Abstract: The present invention is directed to statistical methods for measuring cross-screen efficacy as it relates to advertising. The improved statistical methods provide the ability for advertisers and advertising agencies to predict the behaviors of consumers based on their aggregated cross-screen behavior. The system creates a new output that includes optimized user segments and classifications. A second part of the output is improved measurement and prediction of future consumer behaviors based on the processed multisided data on cross-screen behavior.

Abstract: The present invention is directed to statistical methods for measuring cross-screen efficacy as it relates to advertising. The improved statistical methods provide the ability for advertisers and advertising agencies to predict the behaviors of consumers based on their aggregated cross-screen behavior. The system creates a new output that includes optimized user segments and classifications. A second part of the output is improved measurement and prediction of future consumer behaviors based on the processed multisided data on cross-screen behavior.