Critical Insight Integration

As a part of our proprietary CIIT engine, critical data insights are integrated from our industry-leading partners.  This allows us to enhance our actionable data delivery to provide our clients with a true understanding of their audiences specific attributes from both a consumer and business perspective.

We work very closely and have excellent relationships with all of the industry’s leading individual, household and neighborhood level offline data compilers plus other data enhancement companies that supply behavioral and demographic overlays for our files. To ensure the accuracy of the data, it is refreshed and rigorously screened and managed on a daily, weekly, monthly and quarterly basis depending on the data points. Proprietary matching methodologies and technologies facilitate data building and hygiene as well as enable us to create targeted campaigns for clients.

Industry Segmentation

Automotive

  • 180 Million Car Owners
  • 3 Million In Market Buyers

Real Estate & Mortgage

  • 116 Million Households

Family & Children

  • 299 Million Consumers

Packaged Goods

  • 30,000+ Products & Brands

Retail

  • 500+ Retail Categories

Political

  • Affiliation, Donors, Congressional Districts

Travel

  • 30mm Traveling HH

Wireless

  • 100mm+ mobile

Summarized Credit

  • 90mm+ HH

Demographics

  • 250mm+ Consumers

Business

  • 26mm B2B Contacts
  • 15mm Business

Live Event

  • 4mm + New Home Owner
  • 3mm+ New Parents

Pets

  • 40mm Pet Owners

Donor

  • 25mm+ Donors

Entertainment

  • 50mm+ Consumers
Individual & Business Segmentation

Consumer Attributes

  • Zip+4-Level Geography
  • Age and Income
  • Education
  • Presence of Children
  • Gender
  • Marital Status
  • Occupation
  • Political Views
  • Mortgage and Property Data
  • Spending Models
  • Consumer Profile Models
  • Life Events

Business Variables

  • Geo/Location
  • SIC/NAICS Code
  • Employee Size
  • Sales Volume
  • Ownership Gender
  • Ethnicity
  • Title
  • Location Type
  • Years in Business