US Consumer Demographic Data - 269M+ Consumer Records - Programmatic Ads and Email Marketing Automation
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FIRST
|
MIDDLE
|
LAST
|
PREFIX
|
ADDRESS1
|
ADDRESS2
|
CITY
|
STATE
|
ZIP
|
ZIP4
|
DPV
|
CR
|
STATECODE
|
COUNTYCODE
|
LATITUDE
|
LONGITUDE
|
ADDRESS_TYPE
|
MSA_CODE
|
CBSA_CODE
|
ADDRESS LINE
|
SUPPRESSION DMA DO NOT MAIL
|
CENSUS TRACT
|
CENSUS BLOCK GROUP
|
CENSUS BLOCK
|
DPV INDICATOR
|
PHONE
|
TIMEZONE
|
GENDER
|
HOUSEHOLD ID
|
INDIVIDUAL ID
|
INFERRED HOUSEHOLD RANK
|
BIRTH_YEAR
|
BIRTH_MONTH
|
BIRTH_DATE
|
EXACT AGE
|
EST AGE
|
EST INCOME
|
NET WORTH
|
MULTIPLE LINES OF CREDIT INDICATOR
|
NEW CREDIT LINE INDICATOR
|
EDUCATION
|
OCCUPATION
|
OCCUPATION_DETAILED
|
BUSINESS OWNER
|
NUMBER OF CHILDREN
|
PRESENCE OF CHILDREN
|
AGE 00 - 02 MALE
|
AGE 00 - 02 FEMALE
|
AGE 00 - 02 UNKNOWN GENDER
|
AGE 03 - 05 MALE
|
AGE 03 - 05 FEMALE
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AGE 03 - 05 UNKNOWN GENDER
|
AGE 06 - 10 MALE
|
AGE 06 - 10 FEMALE
|
AGE 06 - 10 UNKNOWN GENDER
|
AGE 11 - 15 MALE
|
AGE 11 - 15 FEMALE
|
AGE 11 - 15 UNKNOWN GENDER
|
AGE 16 - 17 MALE
|
AGE 16 - 17 FEMALE
|
AGE 16 - 17 UNKNOWN GENDER
|
MARITAL STATUS IN THE HHLD
|
HOMEOWNER
|
LOR
|
DWELLING
|
NUMBER OF ADULTS
|
HOUSEHOLD SIZE
|
HOME MARKET VALUE
|
GENERATIONS IN HOUSEHOLD
|
MAIL ORDER BUYER
|
MAIL ORDER RESPONDER
|
CATALOG BUYER
|
ONLINE BUYER
|
WAREHOUSE CLUB
|
DISCOUNT SHOPPER
|
CLOTHING BUYER - WOMENS
|
CLOTHING BUYER - WOMENS - PETITE
|
CLOTHING BUYER - WOMENS - PLUS SIZE
|
CLOTHING BUYER - WOMENS - JUNIORS
|
CLOTHING BUYER - MENS
|
CLOTHING BUYER - MENS - PLUS SIZE
|
CLOTHING BUYER - YOUNG MENS
|
CLOTHING BUYER - CHILDERNS
|
HEALTH PRODUCTS BUYER
|
COSMETICS BUYER
|
JEWELERY BUYER
|
LUGGAGE BUYER
|
AMERICAN EXPRESS GOLD
|
AMERICAN EXPRESS REGULAR
|
DISCOVER GOLD
|
DISCOVER REGULAR
|
RETAIL CARD - PREMIUM
|
RETAIL CARD
|
MASTERCARD GOLD
|
MASTERCARD REGULAR
|
VISA GOLD
|
VISA REGULAR
|
CHECKING ACCOUNT
|
GAS/DEPARTMENT/RETAIL CARD
|
TRAVEL & ENTERTAINMENT CARD
|
CREDIT CARD OTHER
|
PREMIUM CREDIT CARD
|
DEPARTMENT STORE GOLD CARD
|
FREQUENT CREDIT CARD USER
|
NEW CREDIT CARD HOLDER
|
BANK CARD HOLDER
|
ACTIVE INVESTOR
|
SAVINGS / CDS / RETIREMENT ACCOUNT
|
REAL ESTATE INVESTOR
|
STOCK & BOND INVESTOR
|
FINANCIAL PUBLICATIONS READER
|
BUSINESS OPPORTUNITY SEEKER
|
INTERNATIONAL INVESTOR
|
INVESTMENT PROPERTIES OWNED
|
DONORS
|
DONORS BY MAIL
|
CHARITABLE DONORS
|
ANIMAL WELFARE DONORS
|
DONORS TO THE ARTS
|
CHILDRENS WELFARE DONORS
|
WILDLIFE DONORS
|
ENVIRONMENTAL DONORS
|
MEDICAL RESEARCH DONORS
|
HUMANITARIAN DONORS
|
POLITICAL DONORS
|
DONORS TO REPUBLICAN CAUSES
|
DONORS TO DEMOCRATIC CAUSES
|
DONORS TO RELIGIOUS CAUSES
|
DONORS TO VETERANS CAUSES
|
DONORS TO OTHER CAUSES
|
DONORS TO COMMUNITY BASED ORGANIZATIONS
|
VETERAN PRESENT
|
CHILDREN MAGAZINE SUBSCRIBER
|
SINGLE PARENT FLAG
|
YOUNG CHILDREN IN HOUSEHOLD
|
TOY BUYER
|
BABY PRODUCT BUYER
|
SCHOOL AGE CHILDREN
|
CHILDREN PRODUCT CLUSTER CODE
|
YOUNG ADULT PRESENT
|
SENIOR PRESENT
|
CHILDREN PRODUCT BUYER
|
GRANDPARENT INDICATOR
|
CHRISTIAN FAMILY INDICATOR
|
PET IN HOUSEHOLD
|
HORSEBACK RIDING INTEREST
|
CAT PRESENT IN HOUSEHOLD
|
DOG PRESENT IN HOUSEHOLD
|
BIRD ENTHUSIASTS
|
OTHER PET IN HOUSEHOLD
|
CONTINUING EDUCATION INTEREST
|
WORKING WOMEN IN HOUSEHOLD
|
AFRICAN AMERICAN PROFESSIONAL
|
SMALL OFFICE / HOME OFFICE
|
CAREER MINDED
|
MAGAZINE SUBSCRIBER
|
BOOK BUYER
|
AUDIO BOOK BUYER
|
READING INTEREST
|
RELIGIOUS READING INTEREST
|
SCIENCE FICTION READING INTEREST
|
MAGAZINE READER
|
AUDIO BOOK INTEREST
|
HISTORY / MILITARY BUFF
|
POLITICIAL INTEREST
|
RELIGIOUS HOUSEHOLD
|
ASTRONOMY INTEREST
|
ONLINE EDUCATION INTEREST
|
GAME PLAYER
|
WIFI HOME NETWORK
|
MOVIE BUYER / RENTER / DOWNLOADER
|
HOME THEATER
|
COMPUTER / ACCESSORIES BUYER
|
LUXURY APPLIANCE BUYER
|
SATELLITE TV INTEREST
|
SURROUND SOUND SYSTEM
|
MP3 PLAYER
|
LP/CD MUSIC COLLECTOR
|
MUSIC ENTHUSIAST
|
MOVIE COLLECTOR
|
CABLE TELEVISION PRESENT
|
VIDEO GAMER
|
SATELLITE DISH PRESENT
|
COMPUTER OWNER
|
COMPUTER GAMES
|
CONSUMER ELECTRONICS BUYER
|
MOVIE AND MUSIC CLUSTER
|
CELL PHONE OWNER
|
ANTIQUES BUYER
|
ART BUYER
|
THEATER ENTHUSIAST
|
FINE ARTS ENTHUSIAST
|
MUSICAL INSTUMENT IN HOUSEHOLD
|
INTEREST IN COLLECTIBLES
|
STAMP ENTHUSIAST
|
COIN ENTHUSIAST
|
ART ENTHUSIAST
|
ANTIQUES ENTHUSIAST
|
AVID COLLECTOR
|
BASEBALL CARD / SPORTS MEMORABILIA BUYER
|
MILITARY ENTHUSIAST
|
COLLECTIBLE CLUSTER
|
DO IT YOURSELFER
|
AUTOMOTIVE WORK ENTHUSIAST
|
KNITTING / SEWING ENTHUSIAST
|
WOODWORKING ENTHUSIAST
|
PHOTOGRAPHY ENTHUSIAST
|
AVIATION ENTHUSIAST
|
HOUSE PLANTS BUYER
|
CRAFT ENTHUSIAST
|
HOUSEHOLD PRODUCTS BUYER
|
GARDENING PRODUCT BUYER
|
GARDENING ENTHUSIAST
|
PHOTOGRAPHY EQUIPMENT BUYER
|
SMOKER
|
FURNITURE BUYER
|
HOME IMPROVEMENT
|
NEEDS HOME IMPROVEMENTS
|
WINE ENTHUSIAST
|
COOKING ENTHUSIAST
|
GOURMET COOKING PRODUCT BUYER
|
ORGANIC FOOD BUYER
|
COOKING & FOOD CLUSTER
|
CROSSWORD PUZZLE PLAYER
|
CASINO GAMBLER
|
SWEEPSTAKES ENTHUSIAST
|
INTEREST IN TRAVEL
|
TRAVELS DOMESTICALLY
|
TRAVELS INTERNATIONALLY
|
CRUISE VACATION INTEREST
|
AT HOME ENTHUSIASTS
|
HANDS ON ENTHUSIASTS
|
ACTIVE LIVING ENTHUSIASTS
|
LUXURY LIFESTYLE ENTHUSIASTS
|
CULTURAL ARTS ENTHUSIASTS
|
HIGH TECH EARLY ADOPTERS
|
HEALTHY LIVING ENTHUSIAST
|
RUNNING ENTHUSIAST
|
BICYCLING ENTHUSIAST
|
AVID WALKER
|
EXERCISE CLASS ENTHUSIAST
|
AUTO RACING ENTHUSIAST
|
SPORTS FAN
|
FOOTBALL ENTHUSIAST
|
BASEBALL ENTHUSIAST
|
BASKETBALL ENTHUSIAST
|
HOCKEY ENTHUSIAST
|
SOCCER ENTHUSIAST
|
TENNIS ENTHUSIAST
|
GOLF ENTHUSIAST
|
SKIING / SNOWBOARDING ENTHUSIAST
|
SWIMMING ENTHUSIAST
|
MOTORCYCLING ENTHUSIAST
|
NASCAR ENTHUSIAST
|
BOATING ENTHUSIAST
|
SCUBA DIVING ENTHUSIAST
|
SPORTING GOODS BUYER
|
HUNTING PRODUCT BUYER
|
AVID FISHER
|
CAMPING ENTHUSIAST
|
AVID HUNTER
|
VITAMIN BUYER
|
DIETING INTEREST
|
SELF IMPROVEMENT ENTHUSIAST
|
AUTO PARTS BUYER
|
HOME VALUE ASSESSED
|
PURCHASE DATE (CCYYMMDD)
|
PURCHASE PRICE
|
SALES TRANSACTION CODE
|
MOST RECENT MORTGAGE AMOUNT
|
2ND MOST RECENT MORTGAGE AMOUNT
|
PURCHASE 1ST MORTGAGE AMOUNT
|
PURCHASE 2ND MORTGAGE AMOUNT
|
MOST RECENT MORTGAGE DATE
|
2ND MOST RECENT MORTGAGE DATE
|
PURCHASE MORTGAGE DATE
|
MOST RECENT MORTGAGE LOAN TYPE CODE
|
2ND MOST RECENT MORTGAGE LOAN TYPE CODE
|
PURCHASE 1ST MORTGAGE LOAN TYPE CODE
|
PURCHASE 2ND MORTGAGE LOAN TYPE CODE
|
MOST RECENT LENDER CODE
|
2ND MOST RECENT LENDER CODE
|
PURCHASE LENDER CODE
|
MOST RECENT LENDER NAME
|
2ND MOST RECENT LENDER NAME
|
PURCHASE LENDER NAME
|
MOST RECENT MORTGAGE INTEREST RATE TYPE
|
2ND MOST RECENT MORTGAGE INTEREST RATE TYPE
|
PURCHASE 1ST MORTGAGE INTEREST RATE TYPE
|
PURCHASE 2ND MORTGAGE INTEREST RATE TYPE
|
MOST RECENT MORTGAGE INTEREST RATE (NOTE INFERRED DECIMAL NNDDDD)
|
2ND MOST RECENT MORTGAGE INTEREST RATE (NOTE INFERRED DECIMAL NNDDDD)
|
PURCHASE 1ST MORTGAGE INTEREST RATE (NOTE INFERRED DECIMAL NNDDDD)
|
PURCHASE 2ND MORTGAGE INTEREST RATE (NOTE INFERRED DECIMAL NNDDDD)
|
YEAR BUILT
|
AIR CONDITIONING
|
POOL
|
FUEL
|
SEWER
|
WATER
|
LOAN TO VALUE
|
ETHNIC CODE
|
ETHNIC-CONFIDENCE
|
ETHNIC-GROUP
|
LANGUAGE
|
RELIGION
|
HISPANIC COUNTRY-CODE
|
ASSIMILATION CODES
|
CREDIT RATING
|
DO NOT CALL FLAG
|
PERM INDIVIDUAL ID
|
ADDRESS
|
MATCHKEY
|
X_PHONE
|
PHONE_LEVEL
|
COUNTY NAME
|
CENSUS MEDIAN HOME VALUE
|
CENSUS MEDIAN HOUSEHOLD INCOME
|
DSF DELIVERABILITY INDICATOR
|
DELIVERY POINT DROP INDICATOR
|
HOME OWNER SOURCE FLAG
|
NUMBER OF LINES OF CREDIT (TRADE COUNTER
|
PROPERTY TYPE
|
SENIOR ADULT IN HOUSEHOLD
|
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+
|
Females 75+
|
Unknown Gender 75+
|
RETAIL ACTIVITY DATE OF LAST
|
STANDARD RETAIL MEMBERSHIP WAREHOUSE
|
STANDARD RETAIL CATALOG SHOWROOM RETAIL
|
STANDARD RETAIL MAIN STREET RETAIL
|
STANDARD RETAIL HIGH VOLUME LOW END DEPARTMENT
|
STANDARD RETAIL STANDARD RETAIL
|
STANDARD SPECIALTY SPORTING GOODS
|
STANDARD SPECIALTY SPECIALTY APPAREL
|
STANDARD SPECIALTY SPECIALTY
|
STANDARD SPECIALTY COMPUTER ELECTRONICS
|
STANDARD SPECIALTY FURNITURE BUYERS
|
STANDARD SPECIALTY HOME OFFICE SUPPLY PURCHASES
|
STANDARD SPECIALTY HOME IMPROVEMENT
|
UPSCALE RETAIL - HIGH END RETAIL BUYERS
|
UPSCALE SPECIALTY TRAVEL PERSONAL SERVICES
|
BANK FINANCIAL SERVICES - BANKING
|
FINANCE COMPANY FINANCIAL SERVICES - INSTALL
|
OIL COMPANY OIL COMPANY
|
MISCELLANEOUS FINANCIAL SERVICES - INSURANCE
|
MISCELLANEOUS TV MAIL ORDER PURCHASES
|
MISCELLANEOUS GROCERY
|
MISCELLANEOUS MISCELLANEOUS
|
RETAIL PURCHASES - MOST FREQUENT CATEGOR
|
NUMBER OF ORDERS - UPSCALE CATALOGS - RN
|
NUMBER OF ORDERS - LOW SCALE CATALOGS -
|
NUMBER OF ORDERS - MID SCALE CATALOGS -
|
METHOD OF PAYMENT COUNT - CASH
|
METHOD OF PAYMENT COUNT - CREDIT CARD
|
METHOD OF PAYMENT COUNT - RETAIL CARD
|
WEEKS SINCE LAST ONLINE ORDER
|
WEEKS SINCE LAST OFFLINE ORDER
|
WEEKS SINCE LAST ORDER
|
LAST OFFLINE ORDER DATE
|
LAST ONLINE ORDER DATE
|
INVESTING FINANCE GROUPING
|
OFF-ROAD RECREATIONAL VEHICLES
|
BOAT OWNER
|
TRUCK OWNER
|
MOTORCYCLE OWNER
|
RV OWNER
|
RV
|
VEHICLE - NEW CAR BUYER
|
VEHICLE - KNOWN OWNED NUMBER (NUMERIC 1
|
VEHICLE - NEW USED INDICATOR - 1ST VEHIC
|
VEHICLE - NEW USED INDICATOR - 2ND VEHIC
|
VEHICLE - DOMINANT LIFESTYLE INDICATOR
|
Property Type2
|
Survey - Travel - Timeshare
|
Telephone 2
|
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| xxxxxxxx | Xxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxx | xxxxx | xxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxxx | xxxxxx | xxxxx | Xxxxx | xxxxxxx | Xxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxx | xxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxx | xxxxxxx | Xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxxx | xxxxxxx | xxxxxx | Xxxxxx | xxxxxx | xxxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | xxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxx | xxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxx | xxxxx | xxxxx | xxxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxxxx | xxxxx | xxxxx | xxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | xxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxx | xxxxxx | Xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxx | xxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxx | xxxxxxx | Xxxxx | Xxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxx | Xxxxx | Xxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx |
| Xxxxxxxxx | xxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxx | xxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxx | xxxxx | Xxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxx | Xxxxxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxx | xxxxxxx | Xxxxxxxxx | xxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxx | xxxxx | Xxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxx | Xxxxx | xxxxxx | xxxxx | xxxxxx | Xxxxxxxxx | xxxxxxxx | Xxxxxx | Xxxxxx | xxxxxxxx | xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxx | xxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxx | xxxxx | Xxxxx | xxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxx | xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | xxxxxx | xxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxx | xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxx | Xxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxx | Xxxxxx | xxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxx | xxxxxx | Xxxxxxxx | xxxxxx | Xxxxx | xxxxxx | xxxxxx | xxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxx | xxxxxx | xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxx | Xxxxxx | xxxxxx | xxxxxx | xxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxx | xxxxxx | Xxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxx | Xxxxxxxx | xxxxx | Xxxxxxxx | xxxxx | xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxxx | xxxxxxx | xxxxxxx | xxxxx | Xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxx | xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx |
Volume
160M
Verified and Deliverable Emails
Data Quality
98%
Email and Phone Accuracy
Coverage
1
Country
History
25
years
Data Dictionary
[Sample] Count061625418 Consumer Sample
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
FIRST
|
String | ||
|
MIDDLE
|
String | ||
|
LAST
|
String | ||
|
PREFIX
|
String | MS | |
|
ADDRESS1
|
String | 3004 MISSION DR | |
|
ADDRESS2
|
String | ||
|
CITY
|
String | BATON ROUGE | |
|
STATE
|
String | LA | |
|
ZIP
|
Integer | 70805 | |
|
ZIP4
|
Integer | 6751 | |
|
DPV
|
Integer | 39 | |
|
CR
|
String | C029 | |
|
STATECODE
|
Integer | 22 | |
|
COUNTYCODE
|
Integer | 27 | |
|
LATITUDE
|
Float | 30.475894 | |
|
LONGITUDE
|
Float | -91.144379 | |
|
ADDRESS_TYPE
|
Integer | 1 | |
|
MSA_CODE
|
Integer | 496 | |
|
CBSA_CODE
|
Integer | 12940 | |
|
ADDRESS LINE
|
Integer | 3 | |
|
SUPPRESSION DMA DO NOT MAIL
|
String | ||
|
CENSUS TRACT
|
Integer | 386 | |
|
CENSUS BLOCK GROUP
|
Integer | 1 | |
|
CENSUS BLOCK
|
Integer | 2 | |
|
DPV INDICATOR
|
Boolean | t | |
|
PHONE
|
String | ||
|
TIMEZONE
|
String | C | |
|
GENDER
|
Boolean | ||
|
HOUSEHOLD ID
|
Integer | 7080501866 | |
|
INDIVIDUAL ID
|
Integer | 41902 | |
|
INFERRED HOUSEHOLD RANK
|
Integer | 2 | |
|
BIRTH_YEAR
|
Integer | 0 | |
|
BIRTH_MONTH
|
Integer | 0 | |
|
BIRTH_DATE
|
Integer | 0 | |
|
EXACT AGE
|
Integer | 0 | |
|
EST AGE
|
Integer | 0 | |
|
EST INCOME
|
String | C | |
|
NET WORTH
|
String | A | |
|
MULTIPLE LINES OF CREDIT INDICATOR
|
Boolean | t | |
|
NEW CREDIT LINE INDICATOR
|
String | ||
|
EDUCATION
|
String | A | |
|
OCCUPATION
|
String | ||
|
OCCUPATION_DETAILED
|
String | ||
|
BUSINESS OWNER
|
String | ||
|
NUMBER OF CHILDREN
|
Integer | 1 | |
|
PRESENCE OF CHILDREN
|
Boolean | t | |
|
AGE 00 - 02 MALE
|
String | ||
|
AGE 00 - 02 FEMALE
|
String | ||
|
AGE 00 - 02 UNKNOWN GENDER
|
String | ||
|
AGE 03 - 05 MALE
|
String | ||
|
AGE 03 - 05 FEMALE
|
String | ||
|
AGE 03 - 05 UNKNOWN GENDER
|
String | ||
|
AGE 06 - 10 MALE
|
String | ||
|
AGE 06 - 10 FEMALE
|
String | ||
|
AGE 06 - 10 UNKNOWN GENDER
|
Boolean | t | |
|
AGE 11 - 15 MALE
|
String | ||
|
AGE 11 - 15 FEMALE
|
String | ||
|
AGE 11 - 15 UNKNOWN GENDER
|
String | ||
|
AGE 16 - 17 MALE
|
String | ||
|
AGE 16 - 17 FEMALE
|
String | ||
|
AGE 16 - 17 UNKNOWN GENDER
|
String | ||
|
MARITAL STATUS IN THE HHLD
|
String | M | |
|
HOMEOWNER
|
String | O | |
|
LOR
|
Integer | 15 | |
|
DWELLING
|
String | S | |
|
NUMBER OF ADULTS
|
Integer | 2 | |
|
HOUSEHOLD SIZE
|
Integer | 3 | |
|
HOME MARKET VALUE
|
String | D | |
|
GENERATIONS IN HOUSEHOLD
|
Integer | 2 | |
|
MAIL ORDER BUYER
|
Boolean | t | |
|
MAIL ORDER RESPONDER
|
Boolean | t | |
|
CATALOG BUYER
|
Boolean | t | |
|
ONLINE BUYER
|
Boolean | t | |
|
WAREHOUSE CLUB
|
String | ||
|
DISCOUNT SHOPPER
|
String | ||
|
CLOTHING BUYER - WOMENS
|
String | ||
|
CLOTHING BUYER - WOMENS - PETITE
|
String | ||
|
CLOTHING BUYER - WOMENS - PLUS SIZE
|
String | ||
|
CLOTHING BUYER - WOMENS - JUNIORS
|
String | ||
|
CLOTHING BUYER - MENS
|
String | ||
|
CLOTHING BUYER - MENS - PLUS SIZE
|
String | ||
|
CLOTHING BUYER - YOUNG MENS
|
String | ||
|
CLOTHING BUYER - CHILDERNS
|
String | ||
|
HEALTH PRODUCTS BUYER
|
String | ||
|
COSMETICS BUYER
|
String | ||
|
JEWELERY BUYER
|
String | ||
|
LUGGAGE BUYER
|
String | ||
|
AMERICAN EXPRESS GOLD
|
String | ||
|
AMERICAN EXPRESS REGULAR
|
String | ||
|
DISCOVER GOLD
|
String | ||
|
DISCOVER REGULAR
|
String | ||
|
RETAIL CARD - PREMIUM
|
String | ||
|
RETAIL CARD
|
String | ||
|
MASTERCARD GOLD
|
String | ||
|
MASTERCARD REGULAR
|
String | ||
|
VISA GOLD
|
String | ||
|
VISA REGULAR
|
String | ||
|
CHECKING ACCOUNT
|
String | ||
|
GAS/DEPARTMENT/RETAIL CARD
|
Boolean | t | |
|
TRAVEL & ENTERTAINMENT CARD
|
String | ||
|
CREDIT CARD OTHER
|
Boolean | t | |
|
PREMIUM CREDIT CARD
|
String | ||
|
DEPARTMENT STORE GOLD CARD
|
String | ||
|
FREQUENT CREDIT CARD USER
|
Boolean | t | |
|
NEW CREDIT CARD HOLDER
|
String | ||
|
BANK CARD HOLDER
|
String | ||
|
ACTIVE INVESTOR
|
String | ||
|
SAVINGS / CDS / RETIREMENT ACCOUNT
|
String | ||
|
REAL ESTATE INVESTOR
|
String | ||
|
STOCK & BOND INVESTOR
|
String | ||
|
FINANCIAL PUBLICATIONS READER
|
String | ||
|
BUSINESS OPPORTUNITY SEEKER
|
String | ||
|
INTERNATIONAL INVESTOR
|
String | ||
|
INVESTMENT PROPERTIES OWNED
|
String | ||
|
DONORS
|
String | ||
|
DONORS BY MAIL
|
String | ||
|
CHARITABLE DONORS
|
String | ||
|
ANIMAL WELFARE DONORS
|
String | ||
|
DONORS TO THE ARTS
|
String | ||
|
CHILDRENS WELFARE DONORS
|
String | ||
|
WILDLIFE DONORS
|
String | ||
|
ENVIRONMENTAL DONORS
|
String | ||
|
MEDICAL RESEARCH DONORS
|
String | ||
|
HUMANITARIAN DONORS
|
String | ||
|
POLITICAL DONORS
|
String | ||
|
DONORS TO REPUBLICAN CAUSES
|
String | ||
|
DONORS TO DEMOCRATIC CAUSES
|
String | ||
|
DONORS TO RELIGIOUS CAUSES
|
String | ||
|
DONORS TO VETERANS CAUSES
|
String | ||
|
DONORS TO OTHER CAUSES
|
String | ||
|
DONORS TO COMMUNITY BASED ORGANIZATIONS
|
String | ||
|
VETERAN PRESENT
|
String | ||
|
CHILDREN MAGAZINE SUBSCRIBER
|
String | ||
|
SINGLE PARENT FLAG
|
String | ||
|
YOUNG CHILDREN IN HOUSEHOLD
|
String | ||
|
TOY BUYER
|
String | ||
|
BABY PRODUCT BUYER
|
String | ||
|
SCHOOL AGE CHILDREN
|
String | ||
|
CHILDREN PRODUCT CLUSTER CODE
|
String | ||
|
YOUNG ADULT PRESENT
|
String | ||
|
SENIOR PRESENT
|
String | ||
|
CHILDREN PRODUCT BUYER
|
String | ||
|
GRANDPARENT INDICATOR
|
String | ||
|
CHRISTIAN FAMILY INDICATOR
|
String | ||
|
PET IN HOUSEHOLD
|
String | ||
|
HORSEBACK RIDING INTEREST
|
String | ||
|
CAT PRESENT IN HOUSEHOLD
|
String | ||
|
DOG PRESENT IN HOUSEHOLD
|
String | ||
|
BIRD ENTHUSIASTS
|
String | ||
|
OTHER PET IN HOUSEHOLD
|
String | ||
|
CONTINUING EDUCATION INTEREST
|
String | ||
|
WORKING WOMEN IN HOUSEHOLD
|
String | ||
|
AFRICAN AMERICAN PROFESSIONAL
|
String | ||
|
SMALL OFFICE / HOME OFFICE
|
Boolean | t | |
|
CAREER MINDED
|
String | ||
|
MAGAZINE SUBSCRIBER
|
String | ||
|
BOOK BUYER
|
String | ||
|
AUDIO BOOK BUYER
|
String | ||
|
READING INTEREST
|
String | ||
|
RELIGIOUS READING INTEREST
|
String | ||
|
SCIENCE FICTION READING INTEREST
|
String | ||
|
MAGAZINE READER
|
Boolean | t | |
|
AUDIO BOOK INTEREST
|
String | ||
|
HISTORY / MILITARY BUFF
|
String | ||
|
POLITICIAL INTEREST
|
String | ||
|
RELIGIOUS HOUSEHOLD
|
String | ||
|
ASTRONOMY INTEREST
|
String | ||
|
ONLINE EDUCATION INTEREST
|
String | ||
|
GAME PLAYER
|
String | ||
|
WIFI HOME NETWORK
|
String | ||
|
MOVIE BUYER / RENTER / DOWNLOADER
|
String | ||
|
HOME THEATER
|
String | ||
|
COMPUTER / ACCESSORIES BUYER
|
String | ||
|
LUXURY APPLIANCE BUYER
|
String | ||
|
SATELLITE TV INTEREST
|
String | ||
|
SURROUND SOUND SYSTEM
|
String | ||
|
MP3 PLAYER
|
String | ||
|
LP/CD MUSIC COLLECTOR
|
String | ||
|
MUSIC ENTHUSIAST
|
String | ||
|
MOVIE COLLECTOR
|
String | ||
|
CABLE TELEVISION PRESENT
|
String | ||
|
VIDEO GAMER
|
String | ||
|
SATELLITE DISH PRESENT
|
String | ||
|
COMPUTER OWNER
|
Boolean | t | |
|
COMPUTER GAMES
|
String | ||
|
CONSUMER ELECTRONICS BUYER
|
Boolean | t | |
|
MOVIE AND MUSIC CLUSTER
|
String | ||
|
CELL PHONE OWNER
|
String | ||
|
ANTIQUES BUYER
|
String | ||
|
ART BUYER
|
String | ||
|
THEATER ENTHUSIAST
|
String | ||
|
FINE ARTS ENTHUSIAST
|
String | ||
|
MUSICAL INSTUMENT IN HOUSEHOLD
|
String | ||
|
INTEREST IN COLLECTIBLES
|
String | ||
|
STAMP ENTHUSIAST
|
String | ||
|
COIN ENTHUSIAST
|
String | ||
|
ART ENTHUSIAST
|
String | ||
|
ANTIQUES ENTHUSIAST
|
String | ||
|
AVID COLLECTOR
|
String | ||
|
BASEBALL CARD / SPORTS MEMORABILIA BUYER
|
String | ||
|
MILITARY ENTHUSIAST
|
String | ||
|
COLLECTIBLE CLUSTER
|
String | ||
|
DO IT YOURSELFER
|
String | ||
|
AUTOMOTIVE WORK ENTHUSIAST
|
String | ||
|
KNITTING / SEWING ENTHUSIAST
|
String | ||
|
WOODWORKING ENTHUSIAST
|
String | ||
|
PHOTOGRAPHY ENTHUSIAST
|
String | ||
|
AVIATION ENTHUSIAST
|
String | ||
|
HOUSE PLANTS BUYER
|
String | ||
|
CRAFT ENTHUSIAST
|
Boolean | t | |
|
HOUSEHOLD PRODUCTS BUYER
|
String | ||
|
GARDENING PRODUCT BUYER
|
String | ||
|
GARDENING ENTHUSIAST
|
Boolean | t | |
|
PHOTOGRAPHY EQUIPMENT BUYER
|
String | ||
|
SMOKER
|
String | ||
|
FURNITURE BUYER
|
Boolean | t | |
|
HOME IMPROVEMENT
|
String | ||
|
NEEDS HOME IMPROVEMENTS
|
String | ||
|
WINE ENTHUSIAST
|
String | ||
|
COOKING ENTHUSIAST
|
Boolean | t | |
|
GOURMET COOKING PRODUCT BUYER
|
Boolean | t | |
|
ORGANIC FOOD BUYER
|
String | ||
|
COOKING & FOOD CLUSTER
|
Boolean | t | |
|
CROSSWORD PUZZLE PLAYER
|
String | ||
|
CASINO GAMBLER
|
String | ||
|
SWEEPSTAKES ENTHUSIAST
|
String | ||
|
INTEREST IN TRAVEL
|
String | ||
|
TRAVELS DOMESTICALLY
|
String | ||
|
TRAVELS INTERNATIONALLY
|
String | ||
|
CRUISE VACATION INTEREST
|
String | ||
|
AT HOME ENTHUSIASTS
|
String | ||
|
HANDS ON ENTHUSIASTS
|
String | ||
|
ACTIVE LIVING ENTHUSIASTS
|
String | ||
|
LUXURY LIFESTYLE ENTHUSIASTS
|
String | ||
|
CULTURAL ARTS ENTHUSIASTS
|
String | ||
|
HIGH TECH EARLY ADOPTERS
|
String | ||
|
HEALTHY LIVING ENTHUSIAST
|
String | ||
|
RUNNING ENTHUSIAST
|
String | ||
|
BICYCLING ENTHUSIAST
|
String | ||
|
AVID WALKER
|
String | ||
|
EXERCISE CLASS ENTHUSIAST
|
String | ||
|
AUTO RACING ENTHUSIAST
|
String | ||
|
SPORTS FAN
|
String | ||
|
FOOTBALL ENTHUSIAST
|
String | ||
|
BASEBALL ENTHUSIAST
|
String | ||
|
BASKETBALL ENTHUSIAST
|
String | ||
|
HOCKEY ENTHUSIAST
|
String | ||
|
SOCCER ENTHUSIAST
|
String | ||
|
TENNIS ENTHUSIAST
|
String | ||
|
GOLF ENTHUSIAST
|
String | ||
|
SKIING / SNOWBOARDING ENTHUSIAST
|
String | ||
|
SWIMMING ENTHUSIAST
|
String | ||
|
MOTORCYCLING ENTHUSIAST
|
String | ||
|
NASCAR ENTHUSIAST
|
String | ||
|
BOATING ENTHUSIAST
|
String | ||
|
SCUBA DIVING ENTHUSIAST
|
String | ||
|
SPORTING GOODS BUYER
|
String | ||
|
HUNTING PRODUCT BUYER
|
String | ||
|
AVID FISHER
|
String | ||
|
CAMPING ENTHUSIAST
|
String | ||
|
AVID HUNTER
|
String | ||
|
VITAMIN BUYER
|
String | ||
|
DIETING INTEREST
|
String | ||
|
SELF IMPROVEMENT ENTHUSIAST
|
String | ||
|
AUTO PARTS BUYER
|
String | ||
|
HOME VALUE ASSESSED
|
Float | 94400.0 | |
|
PURCHASE DATE (CCYYMMDD)
|
Integer | 0 | |
|
PURCHASE PRICE
|
Integer | 0 | |
|
SALES TRANSACTION CODE
|
String | ||
|
MOST RECENT MORTGAGE AMOUNT
|
Integer | 26624 | |
|
2ND MOST RECENT MORTGAGE AMOUNT
|
String | ||
|
PURCHASE 1ST MORTGAGE AMOUNT
|
Integer | 0 | |
|
PURCHASE 2ND MORTGAGE AMOUNT
|
Integer | 0 | |
|
MOST RECENT MORTGAGE DATE
|
Integer | 20080124 | |
|
2ND MOST RECENT MORTGAGE DATE
|
String | ||
|
PURCHASE MORTGAGE DATE
|
Integer | 0 | |
|
MOST RECENT MORTGAGE LOAN TYPE CODE
|
String | C | |
|
2ND MOST RECENT MORTGAGE LOAN TYPE CODE
|
String | ||
|
PURCHASE 1ST MORTGAGE LOAN TYPE CODE
|
String | ||
|
PURCHASE 2ND MORTGAGE LOAN TYPE CODE
|
String | ||
|
MOST RECENT LENDER CODE
|
Integer | 0 | |
|
2ND MOST RECENT LENDER CODE
|
Integer | 0 | |
|
PURCHASE LENDER CODE
|
Integer | 0 | |
|
MOST RECENT LENDER NAME
|
String | FIRST ACCESS MTG CORP | |
|
2ND MOST RECENT LENDER NAME
|
String | ||
|
PURCHASE LENDER NAME
|
String | ||
|
MOST RECENT MORTGAGE INTEREST RATE TYPE
|
String | ||
|
2ND MOST RECENT MORTGAGE INTEREST RATE TYPE
|
String | ||
|
PURCHASE 1ST MORTGAGE INTEREST RATE TYPE
|
String | ||
|
PURCHASE 2ND MORTGAGE INTEREST RATE TYPE
|
String | ||
|
MOST RECENT MORTGAGE INTEREST RATE (NOTE INFERRED DECIMAL NNDDDD)
|
Integer | 0 | |
|
2ND MOST RECENT MORTGAGE INTEREST RATE (NOTE INFERRED DECIMAL NNDDDD)
|
String | ||
|
PURCHASE 1ST MORTGAGE INTEREST RATE (NOTE INFERRED DECIMAL NNDDDD)
|
Integer | 0 | |
|
PURCHASE 2ND MORTGAGE INTEREST RATE (NOTE INFERRED DECIMAL NNDDDD)
|
Integer | 0 | |
|
YEAR BUILT
|
Integer | 0 | |
|
AIR CONDITIONING
|
String | ||
|
POOL
|
String | ||
|
FUEL
|
String | ||
|
SEWER
|
String | ||
|
WATER
|
String | ||
|
LOAN TO VALUE
|
Float | 68.0 | |
|
ETHNIC CODE
|
String | WL | |
|
ETHNIC-CONFIDENCE
|
String | A | |
|
ETHNIC-GROUP
|
Boolean | f | |
|
LANGUAGE
|
String | E1 | |
|
RELIGION
|
String | P | |
|
HISPANIC COUNTRY-CODE
|
String | ||
|
ASSIMILATION CODES
|
String | ||
|
CREDIT RATING
|
String | H | |
|
DO NOT CALL FLAG
|
Boolean | f | |
|
PERM INDIVIDUAL ID
|
Integer | 1356013570 | |
|
ADDRESS
|
String | 3004 MISSION DR | |
|
MATCHKEY
|
String | 70805BATIS3004 MISSI | |
|
X_PHONE
|
String | ||
|
PHONE_LEVEL
|
String | ||
|
COUNTY NAME
|
String | EAST BATON ROUGE | |
|
CENSUS MEDIAN HOME VALUE
|
Integer | 547 | |
|
CENSUS MEDIAN HOUSEHOLD INCOME
|
Integer | 208 | |
|
DSF DELIVERABILITY INDICATOR
|
Integer | 1 | |
|
DELIVERY POINT DROP INDICATOR
|
Boolean | f | |
|
HOME OWNER SOURCE FLAG
|
String | V | |
|
NUMBER OF LINES OF CREDIT (TRADE COUNTER
|
Integer | 1 | |
|
PROPERTY TYPE
|
String | A | |
|
SENIOR ADULT IN HOUSEHOLD
|
String | ||
|
Males 18-24
|
String | ||
|
Females 18-24
|
String | ||
|
Unknown Gender 18-24
|
String | ||
|
Males 25-34
|
String | ||
|
Females 25-34
|
String | ||
|
Unknown Gender 25-34
|
String | ||
|
Males 35-44
|
Boolean | t | |
|
Females 35-44
|
Boolean | t | |
|
Unknown Gender 35-44
|
String | ||
|
Males 45-54
|
String | ||
|
Females 45-54
|
String | ||
|
Unknown Gender 45-54
|
String | ||
|
Males 55-64
|
String | ||
|
Females 55-64
|
String | ||
|
Unknown Gender 55-64
|
String | ||
|
Males 65-74
|
String | ||
|
Females 65-74
|
String | ||
|
Unknown Gender 65-74
|
String | ||
|
Males 75+
|
String | ||
|
Females 75+
|
String | ||
|
Unknown Gender 75+
|
String | ||
|
RETAIL ACTIVITY DATE OF LAST
|
Integer | 20090400 | |
|
STANDARD RETAIL MEMBERSHIP WAREHOUSE
|
String | ||
|
STANDARD RETAIL CATALOG SHOWROOM RETAIL
|
String | ||
|
STANDARD RETAIL MAIN STREET RETAIL
|
Boolean | t | |
|
STANDARD RETAIL HIGH VOLUME LOW END DEPARTMENT
|
String | ||
|
STANDARD RETAIL STANDARD RETAIL
|
Boolean | t | |
|
STANDARD SPECIALTY SPORTING GOODS
|
String | ||
|
STANDARD SPECIALTY SPECIALTY APPAREL
|
String | ||
|
STANDARD SPECIALTY SPECIALTY
|
String | ||
|
STANDARD SPECIALTY COMPUTER ELECTRONICS
|
String | ||
|
STANDARD SPECIALTY FURNITURE BUYERS
|
String | ||
|
STANDARD SPECIALTY HOME OFFICE SUPPLY PURCHASES
|
String | ||
|
STANDARD SPECIALTY HOME IMPROVEMENT
|
String | ||
|
UPSCALE RETAIL - HIGH END RETAIL BUYERS
|
String | ||
|
UPSCALE SPECIALTY TRAVEL PERSONAL SERVICES
|
String | ||
|
BANK FINANCIAL SERVICES - BANKING
|
String | ||
|
FINANCE COMPANY FINANCIAL SERVICES - INSTALL
|
String | ||
|
OIL COMPANY OIL COMPANY
|
String | ||
|
MISCELLANEOUS FINANCIAL SERVICES - INSURANCE
|
String | ||
|
MISCELLANEOUS TV MAIL ORDER PURCHASES
|
String | ||
|
MISCELLANEOUS GROCERY
|
String | ||
|
MISCELLANEOUS MISCELLANEOUS
|
String | ||
|
RETAIL PURCHASES - MOST FREQUENT CATEGOR
|
String | E | |
|
NUMBER OF ORDERS - UPSCALE CATALOGS - RN
|
String | ||
|
NUMBER OF ORDERS - LOW SCALE CATALOGS -
|
String | ||
|
NUMBER OF ORDERS - MID SCALE CATALOGS -
|
String | A | |
|
METHOD OF PAYMENT COUNT - CASH
|
String | ||
|
METHOD OF PAYMENT COUNT - CREDIT CARD
|
String | ||
|
METHOD OF PAYMENT COUNT - RETAIL CARD
|
String | ||
|
WEEKS SINCE LAST ONLINE ORDER
|
Integer | 531 | |
|
WEEKS SINCE LAST OFFLINE ORDER
|
String | ||
|
WEEKS SINCE LAST ORDER
|
Integer | 531 | |
|
LAST OFFLINE ORDER DATE
|
String | ||
|
LAST ONLINE ORDER DATE
|
Integer | 20040604 | |
|
INVESTING FINANCE GROUPING
|
String | ||
|
OFF-ROAD RECREATIONAL VEHICLES
|
String | ||
|
BOAT OWNER
|
String | ||
|
TRUCK OWNER
|
String | ||
|
MOTORCYCLE OWNER
|
String | ||
|
RV OWNER
|
String | ||
|
RV
|
String | ||
|
VEHICLE - NEW CAR BUYER
|
String | ||
|
VEHICLE - KNOWN OWNED NUMBER (NUMERIC 1
|
String | ||
|
VEHICLE - NEW USED INDICATOR - 1ST VEHIC
|
String | ||
|
VEHICLE - NEW USED INDICATOR - 2ND VEHIC
|
String | ||
|
VEHICLE - DOMINANT LIFESTYLE INDICATOR
|
String | ||
|
Property Type2
|
String | A | |
|
Survey - Travel - Timeshare
|
String | ||
|
Telephone 2
|
String |
Description
Comprehensive B2C consumer database with 269+ million verified US records featuring email addresses, phone numbers, and mailing addresses. Perfect for multi-channel marketing campaigns with advanced demographic and behavioral targeting options.
Premium B2C Consumer Database - 269+ Million US Records
Supercharge your B2C marketing campaigns with comprehensive consumer database, featuring over 269 million verified US consumer records. Our 20+ year data expertise delivers higher quality and more extensive coverage than competitors.
Core Database Statistics
Consumer Records: Over 269 million
Email Addresses: Over 160 million (verified and deliverable)
Phone Numbers: Over 76 million (mobile and landline)
Mailing Addresses: Over 116,000,000 (NCOA processed)
Geographic Coverage: Complete US (all 50 states)
Compliance Status: CCPA compliant with consent management
Targeting Categories Available
Demographics: Age ranges, education levels, occupation types, household composition, marital status, presence of children, income brackets, and gender (where legally permitted)
Geographic: Nationwide, state-level, MSA (Metropolitan Service Area), zip code radius, city, county, and SCF range targeting options
Property & Dwelling: Home ownership status, estimated home value, years in residence, property type (single-family, condo, apartment), and dwelling characteristics
Financial Indicators: Income levels, investment activity, mortgage information, credit indicators, and wealth markers for premium audience targeting
Lifestyle & Interests: Purchase history, donation patterns, political preferences, health interests, recreational activities, and hobby-based targeting
Behavioral Data: Shopping preferences, brand affinities, online activity patterns, and purchase timing behaviors
Multi-Channel Campaign Applications
Deploy across all major marketing channels:
Email marketing and automation
Social media advertising
Search and display advertising (Google, YouTube)
Direct mail and print campaigns
Telemarketing and SMS campaigns
Programmatic advertising platforms
Data Quality & Sources
Our consumer data aggregates from multiple verified sources:
Public records and government databases
Opt-in subscription services and registrations
Purchase transaction data from retail partners
Survey participation and research studies
Online behavioral data (privacy compliant)
Technical Delivery Options
File Formats: CSV, Excel, JSON, XML formats available
Delivery Methods: Secure FTP, API integration, direct download
Processing: Real-time NCOA, email validation, phone verification
Custom Selections: 1,000+ selectable demographic and behavioral attributes
Minimum Orders: Flexible based on targeting complexity
Unique Value Propositions
Dual Spouse Targeting: Reach both household decision-makers for maximum impact
Cross-Platform Integration: Seamless deployment to major ad platforms
Real-Time Updates: Monthly data refreshes ensure maximum accuracy
Advanced Segmentation: Combine multiple targeting criteria for precision campaigns
Compliance Management: Built-in opt-out and suppression list management
Ideal Customer Profiles
E-commerce retailers seeking customer acquisition
Financial services companies targeting specific demographics
Healthcare organizations with compliant marketing needs
Automotive dealers and service providers
Home improvement and real estate professionals
Insurance companies and agents
Subscription services and SaaS providers
Performance Optimization Features
Lookalike Modeling: Create audiences similar to your best customers
Predictive Scoring: Identify high-value prospects using AI algorithms
Campaign Attribution: Track performance across multiple touchpoints
A/B Testing Support: Split audiences for campaign optimization
Suppression Management: Automatic opt-out and DNC compliance
Pricing & Volume Options
Flexible pricing structures accommodate businesses of all sizes:
Pay-per-record for small campaigns
Volume discounts for large deployments
Subscription models for ongoing campaigns
Custom enterprise pricing for high-volume users
Data Compliance & Privacy
VIA.tools maintains industry-leading compliance standards:
CCPA (California Consumer Privacy Act) compliant
CAN-SPAM Act adherence for email marketing
TCPA compliance for phone and SMS campaigns
Regular privacy audits and data governance reviews
Transparent opt-out and data deletion processes
Getting Started
Our data specialists work with you to:
1. Define your target audience criteria
2. Recommend optimal data selections
3. Provide sample data for testing
4. Configure delivery methods and formats
5. Implement ongoing campaign optimization
Why We Lead the Industry
With over two decades of data industry experience, we combine extensive database coverage with advanced targeting capabilities. Our commitment to data quality, compliance, and customer success has made us the preferred choice for businesses seeking superior B2C marketing performance.
Contact our team to discuss your specific targeting requirements and receive custom pricing for your marketing objectives.
Country Coverage
North America
(1)
United States of America
History
25 years of historical data
Volume
| 160 million | Verified and Deliverable Emails |
| 76 million | Mobile and Landlines |
| 116 million | Mailing Addresses |
Pricing
Giant Partners has not published pricing information for this product yet.
You can request detailed pricing information below.
Suitable Company Sizes
Small Business
Medium-sized Business
Enterprise
Quality
Self-reported by the provider
Email and Phone Accuracy
Use Cases
Categories
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Frequently asked questions
What is US Consumer Demographic Data - 269M+ Consumer Records - Programmatic Ads and Email Marketing Automation?
Comprehensive B2C consumer database with 269+ million verified US records featuring email addresses, phone numbers, and mailing addresses. Perfect for multi-channel marketing campaigns with advanced demographic and behavioral targeting options.
What is US Consumer Demographic Data - 269M+ Consumer Records - Programmatic Ads and Email Marketing Automation used for?
This product has 5 key use cases. Giant Partners recommends using the data for Advertising, Audience Targeting, Email Marketing, Audience Creation, and Consumer Data Enrichment. Global businesses and organizations buy Demographic Data from Giant Partners to fuel their analytics and enrichment.
Who can use US Consumer Demographic Data - 269M+ Consumer Records - Programmatic Ads and Email Marketing Automation?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Demographic Data. Get in touch with Giant Partners to see what their data can do for your business and find out which integrations they provide.
How far back does the data in US Consumer Demographic Data - 269M+ Consumer Records - Programmatic Ads and Email Marketing Automation go?
This product has 25 years of historical coverage.
Which countries does US Consumer Demographic Data - 269M+ Consumer Records - Programmatic Ads and Email Marketing Automation cover?
This product includes data covering 1 country like USA. Giant Partners is headquartered in United States of America.
How much does US Consumer Demographic Data - 269M+ Consumer Records - Programmatic Ads and Email Marketing Automation cost?
Pricing information for US Consumer Demographic Data - 269M+ Consumer Records - Programmatic Ads and Email Marketing Automation is available by getting in contact with Giant Partners. Connect with Giant Partners to get a quote and arrange custom pricing models based on your data requirements.
What is the data quality of US Consumer Demographic Data - 269M+ Consumer Records - Programmatic Ads and Email Marketing Automation?
Giant Partners has reported that this product has the following quality and accuracy assurances: 98% Email and Phone Accuracy. You can compare and assess the data quality of Giant Partners using Datarade’s data marketplace.
What are similar products to US Consumer Demographic Data - 269M+ Consumer Records - Programmatic Ads and Email Marketing Automation?
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Giant Partners
AMERICA’S #1 DATA DRIVEN MARKETING AGENCY
Verified Provider