The Data Group's US B2C Audience Targeting Data- Create Custom Audiences using Demographic, Purchasing, Psychographic, Behavioral, Location and More
# | Active_Motorcycle |
Active_Nascar |
Active_Snow_Skiing |
Active_Tennis |
Arts_And_Antiques |
Arts_Art |
Arts_Int |
Auto_Work |
Automotive_Buff |
Autoparts_Accessories |
Aviation_Int |
Boating_Sailing |
Book_Reader |
Books_Magazines |
Books_Music_Audio |
Books_Music_Books |
Broader_Living |
Camping_Hiking |
Collectibles_Antiques |
Collectibles_Arts |
Collectibles_Coins |
Collectibles_General |
Collectibles_Sports_Memorabilia |
Collectibles_Stamps |
Collector_Avid |
Common_Living |
Computer_Home_Office |
Consumer_Electronics |
Cooking_Enthusiast |
Cooking_General |
Craft_Int |
Cultural_Arts_Living |
Current_Affairs_Politics |
Dieting_Weightloss |
DIY_Living |
Do_It_Yourselfers_DYI |
DVD_Videos |
Education_Online |
Electronics_Computers |
Electronics_Movies_Int |
Equestrian_Int |
Exercise_Aerobic |
Exercise_Enthusiast |
Exercise_Health_Grouping |
Exercise_Running_Jogging |
Exercise_Walking |
Female_Merch_Buyer |
Fisher |
Food_Wines |
Foods_Natural |
Games_Board_Puzzles |
Games_Video |
Gaming_Casino |
Gaming_Int |
Gardening |
Golf_Enthusiast |
Health_Medical |
High_End_Appliances |
High_Tech_Leader |
Highbrow_Living |
History_Military |
Home_And_Garden |
Home_Furnishings_Decor |
Home_Improvement |
Home_Living |
House_Plants |
Hunter |
Hunting_Shooting |
Investing_Finance_Grouping |
Investments |
Lifestyle_Passion_Collectibles |
Male_Merch_Buyer |
Military_Memorabilia_Weapons |
Movie_Collector |
Music_Avid_Listener |
Music_Avid_Listener |
Music_Collector |
Music_Home_Stereo |
Music_Player_Device |
Musical_Instruments |
News_Financial |
Opportunity_Seekers |
Outdoor_Enthusiast |
Outdoor_Grouping |
Outdoor_Sports_Lover |
Parenting_Int |
Photography_Int |
Photography_Video_Equip |
Professional_Living |
Reading_Audio_Books |
Reading_General |
Reading_Mags |
Reading_Sci_Fi |
Religious_Inspiration |
Science_Space |
Scuba_Diving |
Self_Improvement |
Sewing_Knitting_Needlework |
Sports_Auto_Motorcycle_Racing |
Sports_Basketball |
Sports_Basketball |
Sports_Football |
Sports_Grouping |
Sports_Hockey |
Sports_Leisure |
Sports_Soccer |
Sports_TV_Sports |
Sporty_Living |
Sweepstakes_Int |
Travel_Cruises |
Travel_Domestic |
Travel_Grouping |
Travel_Int |
Travel_Intl |
Upscale_Living |
Woodwork |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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9 | Xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxx | Xxxxxxxx | Xxxxxx | Xxxxx | Xxxxx | xxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | xxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxx | xxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx |
10 | Xxxxxxxxx | xxxxxxxx | xxxxx | xxxxxx | Xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | xxxxx | Xxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxx | xxxxxx | xxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | xxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxxx | xxxxx | xxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxx | xxxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxx | xxxxxxxxx | xxxxx | xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxx | xxxxx | Xxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxx | xxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | Xxxxxx | Xxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxx |
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# | Apparel_Childrens |
Apparel_Infant_Toddlers |
Apparel_Mens |
Apparel_Mens_Big_Tall |
Apparel_Petite |
Apparel_Womens |
Apparel_Womens_Plus_Size |
Apparel_Young_Mens |
Apparel_Young_Womens |
Book_Buyer |
Childrens_Babycare |
Childrens_Back_To_School |
Childrens_General |
Childrens_Learning_Toys |
Collect_Special_Foods_Buyer |
Cosmetics_Beauty |
Crafts_Hobbies_Buyer |
Gardening_Farming_Buyer |
Grandchildren_Int |
Health_And_Beauty |
Home_Decor_Enthusiast |
Jewelry_Buyer |
Luggage_Buyer |
Mail_Order_Buyer |
Membership_Club |
Online_Buyer |
Pets_Cats |
Pets_Dogs |
Pets_Multi |
Religious_Mags |
Smoking |
Value_Hunter |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx |
2 | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx |
3 | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx |
4 | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx |
5 | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx |
6 | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx |
7 | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx |
8 | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx |
9 | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx |
10 | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx |
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# | DIY_Living |
Exercise_Health_Grouping |
High_Tech_Leader |
Home_Improvement_Grouping |
Home_Living |
Outdoor_Sports_Lover |
Professional_Living |
Sports_Grouping |
Upscale_Living |
Common_Living |
---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx |
2 | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx |
3 | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx |
4 | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx |
5 | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx |
6 | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx |
7 | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx |
8 | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx |
9 | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx |
10 | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx |
... | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx |
# | Auto_Buy_Interest |
Auto_Vin_1 |
Auto_Year_1 |
Auto_Make_1 |
Auto_Model_1 |
Auto_Series_1 |
Auto_BodyClass_1 |
Auto_Trim_1 |
Auto_VehicleType_1 |
Auto_VehicleType_1 |
Auto_Estimated_Purchase_Date_1 sample only starts with est purchase date 2 |
Transaction_Type_1 |
Auto_Purchase_Type_1 |
Auto_Lien_1 |
Auto_Fuel_Type_1 |
Auto_Manufacturer_1 |
Auto_Vin_2 |
Auto_Year_2 |
Auto_Make_2 |
Auto_Model_2 |
Auto_Series_2 |
Auto_BodyClass_2 |
Auto_Trim_2 |
Auto_VehicleType_2 |
Auto_Estimated_Purchase_Date_2 |
Transaction_Type_2 |
Auto_Purchase_Type_2 |
Auto_Lien_2 |
Auto_Fuel_Type_2 |
Auto_Manufacturer_2 |
Auto_Vin_3 |
Auto_Year_3 |
Auto_Make_3 |
Auto_Model_3 |
Auto_Series_3 |
Auto_BodyClass_3 |
Auto_Trim_3 |
Auto_VehicleType_3 |
Auto_Estimated_Purchase_Date_3 |
Transaction_Type_3 |
Auto_Purchase_Type_3 |
Auto_Lien_3 |
Auto_Fuel_Type_3 |
Auto_Manufacturer_3 |
Motorcycle_Vin_1 |
Motorcycle_Year_1 |
Motorcycle_Make_1 |
Motorcycle_Model_1 |
Motorcycle_Estimated_Purchase_Date_1 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx |
2 | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
3 | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx |
4 | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx |
5 | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx |
6 | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx |
7 | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx |
8 | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx |
9 | Xxxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxx | xxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxxxx |
10 | Xxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxx | xxxxx | xxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxx | Xxxxxx | xxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxx |
... | xxxxxxxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | Xxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx |
# | Invest_Stock_Securities |
Investments_Foreign |
Investments_Realestate |
Credit_Rating |
Occupation_of_Person |
Business_Owner |
Household_Net_Worth |
Home_Est_Current_Value |
Estimated_Income_Code |
---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx |
2 | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx |
3 | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx |
4 | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx |
5 | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx |
6 | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx |
7 | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
8 | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx |
9 | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx |
10 | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx |
... | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx |
# | Age_Code |
Inferred_Age |
BirthDate |
BirthDate_ConfidenceID |
DOB_Yr |
Marital_Status |
Occupation_Group |
Occupation_of_Person |
Ethnic_Code |
Ethnic_Group |
Assimilation_Codes |
Language_Code |
Religion_Code |
Education_of_Person |
Business_Owner |
Investments_Personal |
Political_Ideology |
Dwelling_Type |
Homeowner_Probability_Model |
Length_Of_Residence_Code |
Number_Of_Persons_In_Unit |
Single_Parent |
Christian_Families |
Working_Woman |
African_American_Professional |
SOHO_Indicator |
TV_Sat_Dish |
CRA_Income_Classification_Code |
Census_Median_Home_Value |
Census_Median_HH_Income |
Density |
Property_Home_Square_Footage |
Property_Land_Square_Footage |
Estimated_Income_Code |
Household_Net_Worth |
Presence_Of_CC |
Presence_Of_Premium_CC |
Presence_Of_Upscale_Retail_CC |
Presence_Of_Bankcard |
Gas_Dept_Retail_CC |
American_Express_CC |
Credit_Rating |
Household_Number_Lines_Of_Credit |
Credit_Range_Newcredit |
American_Express_Gold_Plat |
Discover_Gold_Premium |
Discover_Regular |
Gas_Retail_CC_Gold_Premium |
Mastercard_Gold_Premium |
Mastercard_Regular |
Visa_Gold_Premium |
Visa_Regular |
Travel_Entertainment_CC |
CC_Holder_Type_Unknown |
CC_New_Issue |
Investments_Est_Re_Properties_Owned |
Presence_Of_Children |
Number_Of_Children |
Children_Age_00_02 |
Children_Age_00_02_Female |
Children_Age_00_02_Male |
Children_Age_00_02_Unknown |
Children_Age_03_05 |
Children_Age_03_05_Female |
Children_Age_03_05_Male |
Children_Age_03_05_Unknown |
Children_Age_06_10 |
Children_Age_06_10_Female |
Children_Age_06_10_Male |
Children_Age_06_10_Unknown |
Children_Age_11_15 |
Children_Age_11_15_Female |
Children_Age_11_15_Male |
Children_Age_11_15_Unknown |
Children_Age_16_17 |
Children_Age_16_17_Female |
Children_Age_16_17_Male |
Children_Age_16_17_Unknown |
Inferred_HH_Rank |
Number_Of_Adults |
Generations_In_HH |
Males_18_24 |
Females_18_24 |
Unknown_Gender_18_24 |
Males_25_34 |
Females_25_34 |
Unknown_Gender_25_34 |
Males_35_44 |
Females_35_44 |
Unknown_Gender_35_44 |
Males_45_54 |
Females_45_54 |
Unknown_Gender_45_54 |
Males_55_64 |
Females_55_64 |
Unknown_Gender_55_64 |
Males_65_74 |
Females_65_74 |
Unknown_Gender_65_74 |
Males_75_Plus |
Females_75_Plus |
Unknown_Gender_75_Plus |
Young_Adult_In_HH |
Senior_Adult_In_HH |
Social_Ranking_Index_by_Individual |
Veteran_In_HH |
|
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2 | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx |
3 | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx |
4 | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxx | xxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx |
5 | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxx | xxxxx | xxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxx | Xxxxxx | xxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | Xxxxxx | xxxxxxxx |
6 | xxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxx | xxxxxxxx | xxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | xxxxxx | Xxxxxxxxx |
7 | xxxxxxxxx | xxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxx | Xxxxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | Xxxxxx | xxxxxxxx | xxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxx | Xxxxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxx | xxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxx |
8 | Xxxxxx | Xxxxxx | xxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxxxx | xxxxxx | xxxxxxxxxx | xxxxx | xxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxx | xxxxxx | Xxxxx | xxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxx | xxxxxx | xxxxxx | xxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxx | Xxxxxx | xxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxxx | xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxx |
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... | Xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxx | xxxxxx | xxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | xxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxxx | xxxxx | xxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxx | xxxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxx | xxxxxxxxx | xxxxx | xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxx | xxxxx | Xxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxx | xxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | Xxxxxx | Xxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
Active_Motorcycle
|
Boolean | t | |
Active_Nascar
|
|||
Active_Snow_Skiing
|
|||
Active_Tennis
|
|||
Arts_And_Antiques
|
|||
Arts_Art
|
|||
Arts_Int
|
|||
Auto_Work
|
|||
Automotive_Buff
|
|||
Autoparts_Accessories
|
|||
Aviation_Int
|
|||
Boating_Sailing
|
|||
Book_Reader
|
|||
Books_Magazines
|
|||
Books_Music_Audio
|
|||
Books_Music_Books
|
|||
Broader_Living
|
|||
Camping_Hiking
|
|||
Collectibles_Antiques
|
|||
Collectibles_Arts
|
|||
Collectibles_Coins
|
|||
Collectibles_General
|
|||
Collectibles_Sports_Memorabilia
|
|||
Collectibles_Stamps
|
|||
Collector_Avid
|
|||
Common_Living
|
|||
Computer_Home_Office
|
|||
Consumer_Electronics
|
|||
Cooking_Enthusiast
|
|||
Cooking_General
|
|||
Craft_Int
|
|||
Cultural_Arts_Living
|
|||
Current_Affairs_Politics
|
|||
Dieting_Weightloss
|
|||
DIY_Living
|
|||
Do_It_Yourselfers_DYI
|
|||
DVD_Videos
|
|||
Education_Online
|
|||
Electronics_Computers
|
|||
Electronics_Movies_Int
|
|||
Equestrian_Int
|
|||
Exercise_Aerobic
|
|||
Exercise_Enthusiast
|
|||
Exercise_Health_Grouping
|
|||
Exercise_Running_Jogging
|
|||
Exercise_Walking
|
|||
Female_Merch_Buyer
|
|||
Fisher
|
|||
Food_Wines
|
|||
Foods_Natural
|
|||
Games_Board_Puzzles
|
|||
Games_Video
|
|||
Gaming_Casino
|
|||
Gaming_Int
|
|||
Gardening
|
|||
Golf_Enthusiast
|
|||
Health_Medical
|
|||
High_End_Appliances
|
|||
High_Tech_Leader
|
|||
Highbrow_Living
|
|||
History_Military
|
|||
Home_And_Garden
|
|||
Home_Furnishings_Decor
|
|||
Home_Improvement
|
|||
Home_Living
|
|||
House_Plants
|
|||
Hunter
|
|||
Hunting_Shooting
|
|||
Investing_Finance_Grouping
|
|||
Investments
|
|||
Lifestyle_Passion_Collectibles
|
|||
Male_Merch_Buyer
|
|||
Military_Memorabilia_Weapons
|
|||
Movie_Collector
|
|||
Music_Avid_Listener
|
|||
Music_Avid_Listener
|
|||
Music_Collector
|
|||
Music_Home_Stereo
|
|||
Music_Player_Device
|
|||
Musical_Instruments
|
|||
News_Financial
|
|||
Opportunity_Seekers
|
|||
Outdoor_Enthusiast
|
|||
Outdoor_Grouping
|
|||
Outdoor_Sports_Lover
|
|||
Parenting_Int
|
|||
Photography_Int
|
|||
Photography_Video_Equip
|
|||
Professional_Living
|
|||
Reading_Audio_Books
|
|||
Reading_General
|
|||
Reading_Mags
|
|||
Reading_Sci_Fi
|
|||
Religious_Inspiration
|
|||
Science_Space
|
|||
Scuba_Diving
|
|||
Self_Improvement
|
|||
Sewing_Knitting_Needlework
|
|||
Sports_Auto_Motorcycle_Racing
|
|||
Sports_Basketball
|
|||
Sports_Basketball
|
|||
Sports_Football
|
|||
Sports_Grouping
|
|||
Sports_Hockey
|
|||
Sports_Leisure
|
|||
Sports_Soccer
|
|||
Sports_TV_Sports
|
|||
Sporty_Living
|
|||
Sweepstakes_Int
|
|||
Travel_Cruises
|
|||
Travel_Domestic
|
|||
Travel_Grouping
|
|||
Travel_Int
|
|||
Travel_Intl
|
|||
Upscale_Living
|
|||
Woodwork
|
Attribute | Type | Example | Mapping |
---|---|---|---|
Apparel_Childrens
|
Boolean | t | |
Apparel_Infant_Toddlers
|
|||
Apparel_Mens
|
|||
Apparel_Mens_Big_Tall
|
|||
Apparel_Petite
|
|||
Apparel_Womens
|
|||
Apparel_Womens_Plus_Size
|
|||
Apparel_Young_Mens
|
|||
Apparel_Young_Womens
|
|||
Book_Buyer
|
|||
Childrens_Babycare
|
|||
Childrens_Back_To_School
|
|||
Childrens_General
|
|||
Childrens_Learning_Toys
|
|||
Collect_Special_Foods_Buyer
|
|||
Cosmetics_Beauty
|
|||
Crafts_Hobbies_Buyer
|
|||
Gardening_Farming_Buyer
|
|||
Grandchildren_Int
|
|||
Health_And_Beauty
|
|||
Home_Decor_Enthusiast
|
|||
Jewelry_Buyer
|
|||
Luggage_Buyer
|
|||
Mail_Order_Buyer
|
|||
Membership_Club
|
|||
Online_Buyer
|
|||
Pets_Cats
|
|||
Pets_Dogs
|
|||
Pets_Multi
|
|||
Religious_Mags
|
|||
Smoking
|
|||
Value_Hunter
|
Attribute | Type | Example | Mapping |
---|---|---|---|
DIY_Living
|
Boolean | t | |
Exercise_Health_Grouping
|
|||
High_Tech_Leader
|
|||
Home_Improvement_Grouping
|
|||
Home_Living
|
|||
Outdoor_Sports_Lover
|
|||
Professional_Living
|
|||
Sports_Grouping
|
|||
Upscale_Living
|
|||
Common_Living
|
Attribute | Type | Example | Mapping |
---|---|---|---|
Auto_Buy_Interest
|
String | 88% | |
Auto_Vin_1
|
String | JH4CU2F60CC013759 | |
Auto_Year_1
|
Integer | 2012 | |
Auto_Make_1
|
String | Acura | |
Auto_Model_1
|
|||
Auto_Series_1
|
String | Tech | |
Auto_BodyClass_1
|
String | Sedan | |
Auto_Trim_1
|
|||
Auto_VehicleType_1
|
String | Passenger Car | |
Auto_VehicleType_1
|
String | Passenger Car | |
Auto_Estimated_Purchase_Date_1 sample only starts with est purchase date 2
|
|||
Transaction_Type_1
|
|||
Auto_Purchase_Type_1
|
|||
Auto_Lien_1
|
|||
Auto_Fuel_Type_1
|
String | Gasoline | |
Auto_Manufacturer_1
|
String | Honda Motor Co., Ltd | |
Auto_Vin_2
|
String | 6MMAP67P03T004242 | |
Auto_Year_2
|
Integer | 2003 | |
Auto_Make_2
|
String | Mitsubishi | |
Auto_Model_2
|
String | Diamante | |
Auto_Series_2
|
String | YR42 | |
Auto_BodyClass_2
|
String | Sedan | |
Auto_Trim_2
|
String | X | |
Auto_VehicleType_2
|
String | Passenger Car | |
Auto_Estimated_Purchase_Date_2
|
String | 2/1/2012 | |
Transaction_Type_2
|
|||
Auto_Purchase_Type_2
|
String | Purchased New | |
Auto_Lien_2
|
|||
Auto_Fuel_Type_2
|
|||
Auto_Manufacturer_2
|
String | Mitsubishi Motors Australia Ltd. | |
Auto_Vin_3
|
|||
Auto_Year_3
|
|||
Auto_Make_3
|
|||
Auto_Model_3
|
|||
Auto_Series_3
|
|||
Auto_BodyClass_3
|
|||
Auto_Trim_3
|
|||
Auto_VehicleType_3
|
|||
Auto_Estimated_Purchase_Date_3
|
|||
Transaction_Type_3
|
|||
Auto_Purchase_Type_3
|
|||
Auto_Lien_3
|
|||
Auto_Fuel_Type_3
|
|||
Auto_Manufacturer_3
|
|||
Motorcycle_Vin_1
|
|||
Motorcycle_Year_1
|
|||
Motorcycle_Make_1
|
|||
Motorcycle_Model_1
|
|||
Motorcycle_Estimated_Purchase_Date_1
|
Attribute | Type | Example | Mapping |
---|---|---|---|
Invest_Stock_Securities
|
Boolean | t | |
Investments_Foreign
|
|||
Investments_Realestate
|
|||
Credit_Rating
|
String | 700-749 | |
Occupation_of_Person
|
|||
Business_Owner
|
|||
Household_Net_Worth
|
String | $10,000 - $24,999 | |
Home_Est_Current_Value
|
Integer | 2096000 | |
Estimated_Income_Code
|
String | $50,000 - $54,999 |
Attribute | Type | Example | Mapping |
---|---|---|---|
Age_Code
|
String | 90+ | |
Inferred_Age
|
Integer | 102 | |
BirthDate
|
String | 7/11/1921 | |
BirthDate_ConfidenceID
|
String | Valid Month/Day/Year | |
DOB_Yr
|
String | *** | |
Marital_Status
|
String | Single | |
Occupation_Group
|
String | Other | |
Occupation_of_Person
|
|||
Ethnic_Code
|
String | Welsh | |
Ethnic_Group
|
String | Western European | |
String | US | Country Code Alpha-2 | |
Assimilation_Codes
|
|||
Language_Code
|
String | English | |
Religion_Code
|
String | Protestant | |
Education_of_Person
|
String | Completed College Likely | |
Business_Owner
|
|||
Investments_Personal
|
Boolean | t | |
Political_Ideology
|
|||
Dwelling_Type
|
String | Single Family Dwelling Unit | |
Homeowner_Probability_Model
|
|||
Length_Of_Residence_Code
|
|||
Number_Of_Persons_In_Unit
|
Integer | 2 | |
Single_Parent
|
Boolean | t | |
Christian_Families
|
|||
Working_Woman
|
|||
African_American_Professional
|
|||
SOHO_Indicator
|
Boolean | t | |
TV_Sat_Dish
|
|||
CRA_Income_Classification_Code
|
String | High income | |
Census_Median_Home_Value
|
Float | 3028.0 | |
Census_Median_HH_Income
|
Float | 687.0 | |
Density
|
Integer | 2777 | |
Property_Home_Square_Footage
|
Integer | 1892 | |
Property_Land_Square_Footage
|
Integer | 10407 | |
Estimated_Income_Code
|
String | $100,000 - $149,999 | |
Household_Net_Worth
|
String | Greater than $499,999 | |
Presence_Of_CC
|
Boolean | t | |
Presence_Of_Premium_CC
|
Boolean | t | |
Presence_Of_Upscale_Retail_CC
|
Boolean | t | |
Presence_Of_Bankcard
|
Boolean | t | |
Gas_Dept_Retail_CC
|
Boolean | t | |
American_Express_CC
|
Boolean | t | |
Credit_Rating
|
String | 700-749 | |
Household_Number_Lines_Of_Credit
|
Integer | 1 | |
Credit_Range_Newcredit
|
String | $5,001 - $9,990 | |
American_Express_Gold_Plat
|
|||
Discover_Gold_Premium
|
|||
Discover_Regular
|
|||
Gas_Retail_CC_Gold_Premium
|
|||
Mastercard_Gold_Premium
|
|||
Mastercard_Regular
|
|||
Visa_Gold_Premium
|
|||
Visa_Regular
|
|||
Travel_Entertainment_CC
|
|||
CC_Holder_Type_Unknown
|
Boolean | t | |
CC_New_Issue
|
String | New Bank Card Issue | |
Investments_Est_Re_Properties_Owned
|
|||
Presence_Of_Children
|
Boolean | f | |
Number_Of_Children
|
String | No children | |
Children_Age_00_02
|
|||
Children_Age_00_02_Female
|
|||
Children_Age_00_02_Male
|
|||
Children_Age_00_02_Unknown
|
|||
Children_Age_03_05
|
|||
Children_Age_03_05_Female
|
|||
Children_Age_03_05_Male
|
|||
Children_Age_03_05_Unknown
|
|||
Children_Age_06_10
|
|||
Children_Age_06_10_Female
|
|||
Children_Age_06_10_Male
|
|||
Children_Age_06_10_Unknown
|
|||
Children_Age_11_15
|
|||
Children_Age_11_15_Female
|
|||
Children_Age_11_15_Male
|
|||
Children_Age_11_15_Unknown
|
|||
Children_Age_16_17
|
|||
Children_Age_16_17_Female
|
|||
Children_Age_16_17_Male
|
|||
Children_Age_16_17_Unknown
|
|||
Inferred_HH_Rank
|
String | Inferred rank in household of 1st | |
Number_Of_Adults
|
Integer | 2 | |
Generations_In_HH
|
String | 3 Generations - Adult/Child/Parent | |
Males_18_24
|
|||
Females_18_24
|
|||
Unknown_Gender_18_24
|
|||
Males_25_34
|
|||
Females_25_34
|
|||
Unknown_Gender_25_34
|
|||
Males_35_44
|
|||
Females_35_44
|
|||
Unknown_Gender_35_44
|
|||
Males_45_54
|
|||
Females_45_54
|
|||
Unknown_Gender_45_54
|
|||
Males_55_64
|
|||
Females_55_64
|
|||
Unknown_Gender_55_64
|
|||
Males_65_74
|
|||
Females_65_74
|
|||
Unknown_Gender_65_74
|
|||
Males_75_Plus
|
Boolean | t | |
Females_75_Plus
|
Boolean | t | |
Unknown_Gender_75_Plus
|
|||
Young_Adult_In_HH
|
|||
Senior_Adult_In_HH
|
Boolean | t | |
Social_Ranking_Index_by_Individual
|
|||
Veteran_In_HH
|
Description
Country Coverage
History
Volume
4 billion | Records |
Pricing
License | Starts at |
---|---|
One-off purchase | Not available |
Monthly License | Not available |
Yearly License | Not available |
Usage-based |
$1 / CPM Per Product |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
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Frequently asked questions
What is The Data Group’s US B2C Audience Targeting Data- Create Custom Audiences using Demographic, Purchasing, Psychographic, Behavioral, Location and More?
Elevate your marketing game with our Audience Targeting data! Tap into insights, connect with more users, and boost ROI. Start reaching more of your audience today!
What is The Data Group’s US B2C Audience Targeting Data- Create Custom Audiences using Demographic, Purchasing, Psychographic, Behavioral, Location and More used for?
This product has 5 key use cases. The Data Group recommends using the data for Audience Insights, Audience Segmentation, Audience Analytics, Digital Advertising, and Digital Marketing. Global businesses and organizations buy Audience Data from The Data Group to fuel their analytics and enrichment.
Who can use The Data Group’s US B2C Audience Targeting Data- Create Custom Audiences using Demographic, Purchasing, Psychographic, Behavioral, Location and More?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Audience Data. Get in touch with The Data Group to see what their data can do for your business and find out which integrations they provide.
How far back does the data in The Data Group’s US B2C Audience Targeting Data- Create Custom Audiences using Demographic, Purchasing, Psychographic, Behavioral, Location and More go?
This product has 20 years of historical coverage. It can be delivered on a on-demand basis.
Which countries does The Data Group’s US B2C Audience Targeting Data- Create Custom Audiences using Demographic, Purchasing, Psychographic, Behavioral, Location and More cover?
This product includes data covering 1 country like USA. The Data Group is headquartered in United States of America.
How much does The Data Group’s US B2C Audience Targeting Data- Create Custom Audiences using Demographic, Purchasing, Psychographic, Behavioral, Location and More cost?
Pricing for The Data Group’s US B2C Audience Targeting Data- Create Custom Audiences using Demographic, Purchasing, Psychographic, Behavioral, Location and More starts at USD1 per CPM Per Product. Connect with The Data Group to get a quote and arrange custom pricing models based on your data requirements.
How can I get The Data Group’s US B2C Audience Targeting Data- Create Custom Audiences using Demographic, Purchasing, Psychographic, Behavioral, Location and More?
Businesses can buy Audience Data from The Data Group and get the data via S3 Bucket and SFTP. Depending on your data requirements and subscription budget, The Data Group can deliver this product in .json and .csv format.
What is the data quality of The Data Group’s US B2C Audience Targeting Data- Create Custom Audiences using Demographic, Purchasing, Psychographic, Behavioral, Location and More?
The Data Group has reported that this product has the following quality and accuracy assurances: 90% Match Rates. You can compare and assess the data quality of The Data Group using Datarade’s data marketplace. The Data Group has received 2 reviews from clients.
What are similar products to The Data Group’s US B2C Audience Targeting Data- Create Custom Audiences using Demographic, Purchasing, Psychographic, Behavioral, Location and More?
This product has 3 related products. These alternatives include The Data Group’s US B2C Digital Audience Data- Create Custom Audiences using Demographic, Purchasing, Psychographic, Behavioral, Location and More, Accurate Append Verified US Third Party Audience Data Demographics/Wealth/Donation History & More High Match Rate Batch & API Delivery, and Versium Consumer REACH Direct (Programmatic Digital Audience Segments) B2C API - Increase your match by 3X. You can compare the best Audience Data providers and products via Datarade’s data marketplace and get the right data for your use case.