Total Consumer Insights for Media & Entertainment contains current and robust profiles of adult individuals and households in the U.S. Standard permitted uses include a variety of marketing and analytics applications, creating campaigns from first party data for deployment, and driving lookalike audience prospecting for new customer acquisition and deployment. Verisk Marketing Solutions (formerly Infutor) segments corresponding to Total Consumer Insights for Media & Entertainment are also available for activation through a variety of industry-leading DMPs & DSPs.
Request access to a free 100,000-record sample of this data set via Snowflake.
Fields Included:
Demographics Examples
- Estimated Income
- Marital Status
- Education
- Members in Household (seniors, children, single parents)
- Home Ownership (dwelling type, home value, age of home, pool, fireplace, length of residence)
- Geographic Demographics
Lifestyle Indicators Examples
- Credit Card Usage
- Wealth Score
- Media magazine subscribers
- Subscribes to Prime video
- Subscribes to Hulu
- Subscribes to Netflix
- Owns an Android smartphone (any brand)
- Owns an Apple iPhone
- Purchases/subscriptions to streaming services
- Electronics Passion Index
- Games Passion Index
- High-tech Enthusiast Passion Index
- Internet Access Index
- Internet Purchase Passion Index
Lifestyle & Interest Propensities Examples
- Media Consumption
- Purchasing Propensities
- Interest in Social Networks
- Interest in Computers
- Interest in Computer Software
- Interest in Computer Accessories
- Interest in Electronics
- Interest in Home/auto Stereos
- Interest in Video Equipment
- Interest in Games
- Interest in Computer Games
- Interest in Traditional Board Games & Puzzles
- Interest in Music
- Interest in Music Playing Equipment
Connex Cluster Segments
Verisk Marketing Solutions Connex Audience Segmentation clusters bucket every US consumer household into 130 segments by identifying similar demographics, behaviors, attitudes, preferences, purchasing habits and media consumption. The clusters leverage more than 5,500 demographic, psychographic and geographic data points along with proprietary algorithms to group consumers into these unique segments.
Identity (not available for sample)
- Name
- Physical Address
- Exact Age & DOB
- Gender
- Telephone Number (up to 3 per household)