The Nielsen Comapny (us), LLC

Logan Thomas

Jonathan Lee Sullivan

Michael D Morgan

Jessica D Brinson

Billie Jo Kline

Matthew VanLandeghem

Calvin James Bissett

Arushi Kumar

Cesar Arocho

Andrew Stannard

Shruthi Koundinya Nagaraja

Lianghua Shao

Mala Sivarajan

Kali Bogovich

Sagar Sanghavi

Neung Soo Ha

Roger Guevara

Luis Enrique Ordoñez

An example system disclosed herein includes programmable circuitry to identify donor adjustment factors and recipient adjustment factors used for correction of media impressions logged by a database proprietor, the donor adjustment factors including first donor adjustment factors associated with a first geographic region and second donor adjustment factors associated with a second geographic region, determine a first reduced donor factor set corresponding to ones of the first donor adjustment factors that satisfy a threshold, determine a second reduced donor factor set corresponding to ones of the second donor adjustment factors that satisfy the threshold, and generate imputation factors based on an aggregation of retained ones of the donor adjustment factors, the retained ones of the donor adjustment factors selected based on the first reduced donor factor set and the second reduced donor factor set, the imputation factors to reduce error in the correction.

Methods and apparatus to generate audience metrics using third-party privacy-protected cloud environments

An example apparatus disclosed herein includes a data input interface to access different sets of initial adjustment factors, the initial adjustment factors generated to correct at least one of misattribution or non-coverage of media impressions logged by a database proprietor, a grouping controller to identify a first set of the initial adjustment factors as a set of donor adjustment factors based on (a) first audience members associated with the set of donor adjustment factors satisfying a first threshold and (b) first impressions associated with the first audience members satisfying a second threshold, and identify a second set of the initial adjustment factors as a set of recipient adjustment factors, and an imputation factor generator to generate imputation factors to correct ones of the recipient adjustment factors based on ones of the donor adjustment factors.

Methods, systems, articles of manufacture, and apparatus are disclosed to map client specifications to standardized characteristics. An example apparatus includes a cluster identifier to cluster client databases into client clusters based on a threshold quantity of overlapping universal product codes (UPCs) between respective ones of the client databases, a characteristic analyzer to identify custom characteristics from the respective ones of the client clusters, ones of the custom characteristics having dissimilar nomenclature, and a graph builder to cluster the ones of the custom characteristics based on a similarity metric, and normalize the ones of the custom characteristics as a proxy characteristic, the proxy characteristic having a common nomenclature to represent the ones of the custom characteristics, the characteristic analyzer to enable improved product marketing analysis by replacing dissimilar nomenclature with the proxy characteristic.

Methods, systems, articles of manufacture, and apparatus to map client specifications with standardized characteristics

Example methods and apparatus disclosed herein include campaign mapping for total audience measurement. An example apparatus includes a machine learning engine to predict sets of estimated duplication factors that represent duplicated media exposure across different possible combinations of media platforms for respective ones of a plurality of reference media campaigns, apply an input set of total exposure metrics associated with respective individual ones of the media platforms for a query media campaign to predict a first set of estimated duplication factors for the different possible combinations of media platforms for the query media campaign; identify a first one of the set of reference media campaigns to represent the query media campaign; and estimate a second set of estimated duplication factors for the query media campaign based on the set of estimated duplication factors for the first one of the set of reference media campaigns and the input set of total exposure metrics for the query media campaign.

Methods and apparatus for campaign mapping for total audience measurement

Growing community of inventors

Sunnyvale, CA, United States of America

Logan Thomas