The Veritone Team is excited to roll out enhancements to the Discovery and Collections applications that allow you to get deeper insights and visual analytics on ad campaigns with Nielsen national and local TV audience measurement data.

 Here are a few highlights of what’s included in this update: 

  • Accessibility to Nielsen TV’s rich audience data via aiWARE
  • Visualization of the Nielsen’s impression and demographic data across Veritone’s core applications: Discovery and Collections 
  • Exporting Watchlist associated Nielsen data for additional ad hoc analysis
  • Exploring Nielsen audience segments, gender makeup, markets and campaign reach via the Structured Data search engine
  • Understanding how Veritone uses Nielsen data
  • Ingesting and correlating a Nielsen TV schema into the Structured Data framework

Accessibility to Nielsen TV’s rich audience data via aiWARE

In order to stay compliant with Nielsen data rights, only active Nielsen TV customers can access Nielsen TV data presented in aiWARE. If you hold an active license  to Nielsen TV data, simply notify your Veritone Customer Success Representative and your organization will be granted access to this information.

 There is no disruption to your existing Veritone service if you do not hold a Nielsen TV license.

Visualization of the Neilsen’s impression and demographic data across Vertione’s core applications:  Discovery and Collections

Veritone makes it easy to understand how Nielsen TV metrics correlate to your programming and content. These  metrics are found in the following locations for each of the applications:

 Discovery application: Metrics viewable on  Discovery Watchlist Mentions, Watchlist Exports and Analytics. Search Results also produce Nielsen metrics if searching by the Structured Data engine against the Nielsen schema.

 Collections application: Metrics viewable on Mentions added to Collections.

Viewable metrics in the Discovery and Collections applications

Upon setting a Watchlist, a user will be able gather deeper insights and view visual analytics of the following Nielsen TV data: 

a. Target Demo: The total or subset of age groups 18 - 65+ based on the Watchlist Nielsen criteria. In the example below, the 'Target Demo' is defined as Persons 35 - 44.
b. Total Audience: The entire representation of age groups 18 - 65+ for both female and male viewership.
c. Popular Age: The largest concentrated age group for a particular program within a defined time band.
d. Format: Predefined genre categories
e. Gender: A percentage representation of gender by program and date/time 

 
NOTE:  Nielsen metrics are only surfaced with custom fields when a Watchlist is created. Otherwise, the metrics are appended to ad hoc Search Results via a Structured Data search.

Below illustrates the various ways of how Veritone incorporates Nielsen data:

Viewable on a Watchlist Mention


Viewable on Search Results via the Structured Data engine


Viewable in Discovery Analytics

Viewable in Collections

Exporting Watchlist associated Nielsen data for additional ad hoc analysis

Watchlist Mentions and Nielsen TV data can be exported into a CSV file via “Export” in the Discovery application.  

Nielsen TV data can viewed in the “Audience” column in the exported CSV file.

 Veritone estimates audience metrics in lieu of actual data and uses  a reference column, ‘Est. TV Ratings’ which contains values of ‘True’ or ‘False’, to indicate whether projections are used. As new Nielsen files are received, either weekly for National or monthly for Local, the ‘Est. TV Ratings’ column will update accordingly upon subsequent exports

Exploring Nielsen audience segments, gender makeup, markets and campaign reach via the Structured Data search engine

Since Nielsen data flows through Veritone’s Structured Data pipeline, its Structured Data Objects (SDOs) are searchable via the ‘Structure Data’ engine. This is a primary benefit of ingesting data through this framework in addition to Veritone’s customization and special UI treatment of this data. Via Structure Data search, users can effectively search on any Nielsen TV data field. This means that users can search by market, age groups, audience sizes and more.

Understanding how Veritone uses Nielsen data

In an effort to help those who want to further understand the Nielsen TV data further than what is being correlated to the broadcast media, we have listed below some further details around the Nielsen data:

 Frequency: Weekly National files; Monthly Local files

Age Group Default: P18+ (males and females 18-65+ years of age). Various age groups may be selected when creating a Watchlist.

  • National Age Groups: 18-24, 25-34, 35-44, 45-54, 55-64, 65+
  • Local Age Groups: 18-24, 25-34, 35-49, 50-54, 55-64, 65+

Type: Persons (Households projections/impressions will be viewable at a later point)

Time Band: Programs provide audience metrics to the narrowest 15-minutes

Estimates: In lieu of actual audience metrics, Veritone uses historical program data (when available) to forecast numbers. Veritone denotes this use with '(est.)' in Discovery's 'Target Demo', 'Total Audience' or exported CSVs with the header column 'Nielsen TV Estimates' (Yes/No)

  • National estimates are based on 4-week averages (if the data is available)
  • Local estimates are based on 4-week averages (if the data is available)
  • Important: Actual data for National files are lagged by 15 days and estimates may be displayed until the ratings are reconciled with actuals

View Type: Live + 7 Days (consists of live broadcasts plus any content consumption that occurs over the following 7 days)

  • Live + 7 Days provides the longest viewership tail and the largest impression count compared to the other view types
  • Future supported View Types include: Live, Live + Same Day, Live + 3 Days

Ingesting and correlating a Nielsen TV schema into the Structured Data framework

For external developers or customers who want understand the Nielsen Data Schema, please see below:

Sample JSON

For external developers or customers who want see a JSON matching the Nielsen TV data schema, please see below:

{

  "id": "A6745E6F-C183-5BB8-9683-30110DF66551",

  "time": {

"day": "25",

"utc": 1527296400,

"hour": "21",

"year": "2018",

"month": "05",

"minute": "00",

"second": "00",

"endDate": "180525",

"startDate": "180525",

"quaterHour": 61,

"datetimeEnd": "2018-05-26T01:15:00.000Z",

"datetimeStart": "2018-05-26T01:00:00.000Z"

  },

  "dataId": "A6745E6F-C183-5BB8-9683-30110DF66551",

  "fileName": "./output/MITLIB-2065446",

  "decorators": {

"networkCode": "CC",

"programCode": "0000405169",

"viewingType": "4",

"totalProgram": "31",

"breakoutIndicator": "0",

"programPutIndicator": "0"

  },

  "uniqueCode": "CC|0000405169",

  "datetimeEnd": "2018-05-26T01:15:00.000Z",

  "networkCode": "CC",

  "demographics": {

"male": {

  "age65": 5919,

  "total": 35747,

  "age2_5": 0,

  "age6_8": 0,

  "age9_11": 472,

  "age12_17": 1640,

  "age18_24": 286,

  "age25_34": 1363,

  "age35_44": 1919,

  "age45_54": 12057,

  "age55_64": 12563

},

"total": 106518,

"female": {

  "age65": 18670,

  "total": 70771,

  "age2_5": 701,

  "age6_8": 0,

  "age9_11": 0,

  "age12_17": 1095,

  "age18_24": 10564,

  "age25_34": 1998,

  "age35_44": 5929,

  "age45_54": 10156,

  "age55_64": 22359

}

  },

  "datetimeStart": "2018-05-26T01:00:00.000Z",

  "dataRegistryId": "85db55b9-33e0-46ca-b7b0-39a6feeff5ec",

  "viewershipType": "LV7"

}

With aiWARE’s Structured Data framework, developers can create new schemas and ingest them into aiWARE via a local script or via an external API.

 Today, Veritone manages and correlates Nielsen specific schemas (Nielsen TV and Nielsen Radio,).

 As new schemas as registered through Veritone Developer, Veritone will collaborate with the external developers to correlate the schema information to the content residing in Veritone’s platform

 

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