Methods, apparatus, and articles of manufacture to determine unique audience size via clustered data

Patent metadata

Field	Value
Publication number	US-2025021999-A1
Application number	US-202418904574-A
Country	US
Kind code	A1
Filing date	Oct 2, 2024
Priority date	Aug 3, 2021
Publication date	Jan 16, 2025
Grant date	—

Abstract

Methods, apparatus, systems, and articles of manufacture are disclosed to determine unique audience size via clustered data. An example apparatus includes memory, machine readable instructions, and processor circuitry to at least one of execute or instantiate the machine readable instructions. The example processor circuitry is to form a first matrix identifying matching and non-matching instances of first values of respective demographics of an audience of media and second values of the respective demographics. Also, the processor circuitry is to normalize the first matrix to generate an account sharing adjustment matrix. Additionally, the processor circuitry is to apply the account sharing adjustment matrix to a vector of one or more counts of impressions of the media to correct for one or more members of the audience that share a user account registered with a database proprietor, the one or more counts of the impressions corresponding to the respective demographics.

First claim

What is claimed is:

1 . An audience measurement computing system comprising:
a processor; memory storing computer-readable instructions that, when executed by the processor, cause the audience measurement computing system to perform operations comprising:
obtaining panel data for one or more panelists of an audience measurement entity;
obtaining impression identifiers corresponding to impressions of media;
based on two or more of a genre of the media, a time of day during which the media was requested, or a type of a device with which the media was requested, clustering the impression identifiers to generate a plurality of clusters;
for respective demographics of an audience of the media as reported by one or more of a database proprietor or the audience measurement entity, determining, based on the panel data, first numbers of viewing events of the media and second numbers of viewers of the media;
based on the first numbers and the second numbers, generating a co-viewing adjustment vector of one or more co-viewing adjustment factors, wherein the co-viewing adjustment vector corresponds to a cluster of the generated plurality of clusters; and
applying the co-viewing adjustment vector to one or more counts of the impressions of the media to correct for members of the audience that were contemporaneously present at respective locations of the viewing events, the one or more counts of the impressions corresponding to the respective demographics.

2 . The audience measurement computing system of claim 1 , wherein obtaining the panel data comprises obtaining the panel data over a network from audience measurement meter systems located at a plurality of panelist households, each audience measurement meter system comprising a device configured to receive input from panelists indicating presence of the panelists in viewing the media.

3 . The audience measurement computing system of claim 1 , the operations further comprising:
causing storage of the impression identifiers in an audience measurement entity merged database in a privacy-protected cloud environment of the database proprietor.

4 . The audience measurement computing system of claim 1 , the operations further comprising:
estimating a total audience size for the media based on the corrected one or more counts of the impressions.

5 . The audience measurement computing system of claim 1 , the operations further comprising:
generating a non-coverage adjustment vector corresponding to the cluster; and applying the non-coverage adjustment vector to the one or more counts of the impressions to correct for members of the audience that requested the media without being logged into a user account registered with the database proprietor, wherein applying the co-viewing adjustment vector is performed after applying the non-coverage adjustment vector.

6 . The audience measurement computing system of claim 1 , the operations further comprising:
causing storage of the impression identifiers in a database, wherein the impression identifiers correspond to one or more user accounts of the database proprietor associated with respective first watermark pings that match respective second watermark pings associated with the one or more panelists of the audience measurement entity.

7 . The audience measurement computing system of claim 1 , the operations further comprising:
causing storage of the impression identifiers in a database, wherein the impression identifiers correspond to one or more user accounts registered with the database proprietor having respective first personal identifiable information (PII) that matches respective second PII of the one or more panelists of the audience measurement entity.

8 . A non-transitory machine readable medium comprising instructions that, when executed, cause a processor to perform operations comprising:
obtaining panel data for one or more panelists of an audience measurement entity; obtaining impression identifiers corresponding to impressions of media; based on two or more of a genre of the media, a time of day during which the media was requested, or a type of a device with which the media was requested, clustering the impression identifiers to generate a plurality of clusters; for respective demographics of an audience of the media as reported by one or more of a database proprietor or the audience measurement entity, determining, based on the panel data, first numbers of viewing events of the media and second numbers of viewers of the media; based on the first numbers and the second numbers, generating a co-viewing adjustment vector of one or more co-viewing adjustment factors, wherein the co-viewing adjustment vector corresponds to a cluster of the generated plurality of clusters; and applying the co-viewing adjustment vector to one or more counts of the impressions of the media to correct for members of the audience that were contemporaneously present at respective locations of the viewing events, the one or more counts of the impressions corresponding to the respective demographics.

9 . The non-transitory machine readable medium of claim 8 , wherein obtaining the panel data comprises obtaining the panel data over a network from audience measurement meter systems located at a plurality of panelist households, each audience measurement meter system comprising a device configured to receive input from panelists indicating presence of the panelists in viewing the media.

10 . The non-transitory machine readable medium of claim 8 , the operations further comprising:
causing storage of the impression identifiers in an audience measurement entity merged database in a privacy-protected cloud environment of the database proprietor.

11 . The non-transitory machine readable medium of claim 8 , the operations further comprising:
estimating a total audience size for the media based on the corrected one or more counts of the impressions.

12 . The non-transitory machine readable medium of claim 8 , the operations further comprising:
generating a non-coverage adjustment vector corresponding to the cluster; and applying the non-coverage adjustment vector to the one or more counts of the impressions to correct for members of the audience that requested the media without being logged into a user account registered with the database proprietor, wherein applying the co-viewing adjustment vector is performed after applying the non-coverage adjustment vector.

13 . The non-transitory machine readable medium of claim 8 , the operations further comprising:
causing storage of the impression identifiers in a database, wherein the impression identifiers correspond to one or more user accounts of the database proprietor associated with respective first watermark pings that match respective second watermark pings associated with the one or more panelists of the audience measurement entity.

14 . The non-transitory machine readable medium of claim 8 , the operations further comprising:
causing storage of the impression identifiers in a database, wherein the impression identifiers correspond to one or more user accounts registered with the database proprietor having respective first personal identifiable information (PII) that matches respective second PII of the one or more panelists of the audience measurement entity.

15 . A method performed by an audience measurement computing system comprising a processor and memory, the method comprising:
obtaining panel data for one or more panelists of an audience measurement entity; obtaining impression identifiers corresponding to impressions of media; based o

Assignees

• Nielsen Co Us Llc

Inventors

• Shah Dipti Umesh
• Sheppard Michael R
• Liu Jing
• Oyeneye Olabode O
• Murphy Edward
• Sullivan Jonathan
• Zipoy Matthew

Classifications

• H04N21/252

  Processing of multiple end-users' preferences to derive collaborative data · CPC title

• H04N21/25883

  being end-user demographical data, e.g. age, family status or address (arrangements for identifying locations of users in broadcast systems H04H60/52) · CPC title

• H04N21/44222

  Analytics of user selections, e.g. selection of programmes or purchase activity (monitoring of user selections in data processing systems G06F11/34; arrangements for monitoring the user's behaviour or opinions in broadcast systems H04H60/33) · CPC title

• H04N21/44204

  Monitoring of content usage, e.g. the number of times a movie has been viewed, copied or the amount which has been watched (monitoring of user activities for profile generation for accessing a video database G06F16/739; protecting generic digital content where the protection is independent of the precise nature of the content G06F21/10; arrangements for monitoring the use made of the broadcast services in broadcast systems H04H60/31) · CPC title

• G06Q30/0201 Primary

  Market modelling; Market analysis; Collecting market data · CPC title