---

## Media & Entertainment Audiences – Digital (Individual & Household) Data Product Overview

Media & Entertainment - Digital contains audiences of individuals with a variety of unique characteristics related to their media consumption and personal entertainment preferences ranging from TV viewership to brand preferences to video game activity and more.

---

## Use Cases

Media & Entertainment Audiences – Digital can be used for personalized and targeted marketing communications by allowing marketers to optimize messaging, creative, and offer based on specific consumer characteristics, behaviors, and preferences. This facilitates better customer retention, customer acquisition, cross-sell & up-sell, and engagement rates.

Media & Entertainment Audiences – Digital can be used for analytics, insights, and measurement of programmatic and advanced TV campaigns.

---

## Metadata

Description | Value

----|-----

Geographic coverage | United States of America

Data Population Level | Individual or Household

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

Raw or scraped data | Raw Data

Key Fields | Smartphone Usage, Social Channel Activity, Online Shopping, Television Viewership, Video Game Activity Level & Platform Preferences

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.

Update Frequency | AnalyticsIQ data is updated on a quarterly basis

Key Words | Smartphones, TV, Television, Video Games, Shopping, Cell Phones, Social Media

---

## Key Data Points

Examples of key data points include:

* Facebook_MostLikely: Likely to be active and influential on Facebook

* Twitch_ind: Likely to be a Twitch user

* Hardcore_Gamer: Likely to be a hardcore gamer

* Casual_Female_Gamer: Likely to be a casual female gamer

* Gaming_Platform_cons_pc: Likely to play both PC and console video games

* SD_TV_Streamers: Likely to be streaming video content while at home social distancing

* Mobile_Loyalty_No: Unlikely to feel loyal to mobile carrier

* TV_Viewing_on_Computer_Ind: Likely to view TV content on a computer

* TV_Favorites_Food_Shows_Ind: Likely to enjoy food TV shows

* Sub_Box_User_MostLikely: Likely to use and be interested in subscription box services

* TV_Daypart_7to11_ind: Likely to frequently view TV during primetime daypart

---

## Additional Information

Automotive Audiences – Digital Data Dictionary and AnalyticsIQ Full Data Dictionary are available for download. Please contact aws-support@analytics-iq.com for access.

---

## Pricing Information

For pricing information on our 12-month licenses please reach out to Margo Hock at margoh@analytics-iq.com.

---

## Regulatory and Compliance Information

All AnalyticsIQ audiences are HIPAA compliant, and many audiences are Regulation B / FLA friendly or have alternative Regulation B / FLA friendly versions. To learn more about AnalyticsIQ’s Regulation B / FLA Friendly data.

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.

For information, please reach out to aws-support@analytics-iq.com.

---

## Need Help?

If you have any questions about AnalyticsIQ or our data, please reach out to aws-support@analytics-iq.com.

---

## About Your Company

Founded in 2007 and based in Atlanta, AnalyticsIQ is vastly made up of data scientists, analysts, researchers, and cognitive psychologists with over 100 years of collective analytical experience. AnalyticsIQ is the first data company to consistently blend cognitive psychology with data science to understand the heart of individuals and their motivations – both as a consumer and as a professional. By linking an individual’s consumer profile at home to their professional profile at work, AnalyticsIQ strives to help companies know their customers and prospects like they know their friends, and its mission is for data to fuel every brand experience. AnalyticsIQ’s data consistently outperforms other data providers, and the company’s flexible approach means that they will do whatever it takes to work with clients to solve the challenges they may be facing. To learn more about AnalyticsIQ, please visit https://analytics-iq.com/.