How can I search by online buyers or interests?

Click on the “Mail Order/Lifestyle” link to find consumers based on the following two major criteria, both closely related. One tracks purchases, the other tracks interests and both are obtained from different data sources and can be cross-referenced here:

Mail Order Purchase: Choose from 18 different product or service categories that this household has either purchased from a printed catalog or online store:

  • Apparel
  • Books and Music
  • Children’s Items
  • Computer
  • Crafts/Sewing
  • Electronics
  • Entertainment/Travel
  • Finance/Investment
  • Golf
  • Health/Fitness
  • Mail Order Indicator
  • Outdoor/Recreational
  • Pet Owner
  • Photography
  • Sports Cards & Collectibles
  • Stamps & Coins
  • Sweepstakes/Gambling

You can also choose to narrow your search by the Frequency of purchase: Within the last 2 years, within the last 3-4 years or Every Purchased/Responded.

Lifestyle: One of the best parts of our consumer database, Lifestyle characteristics are assembled from a wide range of transactional and self-reported sources. This multi-dimensional approach sets our consumer database apart from competitors that rely solely on survey data. 

The options under Lifestyle include:

  • Apparel/Fashion/Beauty (8 subsets)
  • Arts/History/Science (4 subsets)
  • Books/Magazines (7 subsets)
  • Charitable Donor (2 subsets)
  • Cooking/Wine (2 subsets)
  • Collectibles
  • Hobbies/Crafts/Sewing (8 subsets)
  • Gambling/Games/Sweepstakes (3 subsets)
  • Health/Diet/Fitness (3 subsets)
  • Home Improvement/Décor (2 subsets)
  • Motor Vehicles/Motorsports (4 subsets)
  • Outdoor Recreation (4 subsets)
  • Personal Finance/Self-Help (3 subsets)
  • Pets/Animals (4 subsets)
  • Photography (2 subsets)
  • Politics/Religion/News (4 subsets) – See Contributor/Political criteria for other options
  • Purchase Behavior (13 subsets)
  • Sports (9 subsets)
  • Technology/Entertainment (7 subsets)
  • Travel (6 subsets)

The Lifestyle choices all have a “+” next to them so you can drill down further into the subsets.

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