Media & Entertainment Attributes

Media & Entertainment Attributes contains individual or household level data variables that provide and predict a variety of unique characteristics related to media consumption habits and personal entertainment preferences ranging from TV viewership to brand preferences to video game activity and more.

Geographic coverage: United States of America

Data Population Level: Individual or Household

Number of individuals/households covered: 242.5+ million individuals & 117+ million households

Data Source(s): Our data is created in an offline process but leverage offline and online data and behaviors. The vast majority of our database is proprietary although a few publicly available data sources are leveraged in its development.

AnalyticsIQ sources data from over 100 sources. These are predominantly public sources including: Core Demographic data from multiple sources; Census Block and Block Group level data; Econometric data from the US government; Summarized credit data from multiple credit bureaus; Property and mortgage information from county courthouses; Occupation information from state licensing boards; Past purchase behavior from catalogers and retailers that contribute their data at a category level.

AnalyticsIQ is not an original compiler as the data above is readily available for purchase out in the market. However, AnalyticsIQ uses superior analytics to make our data best-in-class.

One tool that is completely unique to AnalyticsIQ’s product development process is our proprietary survey data. This is where our Cognitive Sciences Department carefully crafts questions that we serve to a panel of consumers. Survey responses are not directly published on our file, but rather the answers are then modeled across our entire consumer file to create truly unique data points not available anywhere.

Examples of key data points include:

- Gaming_Platform: Segmentation of video game players across gaming platforms
- InMarket_OnlineShop: Likelihood of Shopping Online
- LT_Gamer_Scale: Video game dedication spectrum
- Mobile_May_Switch: Likelihood of switching mobile service provider
- Smartphone_iPhone: Likely to own an iPhone
- SocialIQ_v2: Likelihood of being active and influential on social media
- Steam_User: Likelihood of using steam to purchase video games
- TV_Daily_Viewing_v2: Likely to watch TV 6+ hours a day
- YouTube_Creator: Likelihood of being a YouTube content creator

For users who wish to avoid PII, all AnalyticsIQ data can be anonymized through tokenization thanks to our strong partnership with Datavant, a leading providers of data de-identification services.