Factori | US Consumer Graph Data - Acquisition Marketing & Consumer Data Insights | Append 100+ Attributes from 220M+ Consumer Profiles
# | Zip4 |
Delivery_point_bar_code |
Carrier_Route |
Walk_Sequence_Code |
Fips_State_Code |
Fips_County_Code |
Address_Type |
Metropolitan_Statistical_area |
Core_Based_Statistical_Area |
Census_Tract |
Census_Block_Group |
Census_Block |
Census_Median_Home_Value |
Census_Median_Houesehold_Income |
Gender |
Homeowner |
Dob_Yr |
Dob_Mon |
Dob_Day |
Age |
Household_Income |
Net_Worth |
Credit_Lines |
Credit_Range_New |
Education_Level |
Occupation |
Occupation_Business_Owner |
Number_of_kids |
Pre_school_Kids |
Kids_M_0_2 |
Kids_F_0_2 |
Kids_U_0_2 |
Kids_M_3_5 |
Kids_F_3_5 |
Kids_U_3_5 |
Kids_M_6_10 |
Kids_F_6_10 |
Kids_U_6_10 |
Kids_M_11_15 |
Kids_F_11_15 |
Kids_U_11_15 |
Kids_M_16_17 |
Kids_F_16_17 |
Kids_U_16_17 |
Household_Marital_Status |
Length_Of_Residence |
Dwell_Type |
Number_of_Adults |
Household_Size |
Home_Market_Value |
Generations |
Adults_M_18_24 |
Adults_F_18_24 |
Adults_U_18_24 |
Adults_M_25_34 |
Adults_F_25_34 |
Adults_U_25_34 |
Adults_M_35_44 |
Adults_F_35_44 |
Adults_U_35_44 |
Adults_M_45_54 |
Adults_F_45_54 |
Adults_U_45_54 |
Adults_M_55_64 |
Adults_F_55_64 |
Adults_U_55_64 |
Adults_M_65_74 |
Adults_F_65_74 |
Adults_U_65_74 |
Adults_M_75Plus |
Adults_F_75Plus |
Adults_U_75Plus |
Mail_Order_Buyer |
Mail_Order_Responder |
Online_Purchase_Indicator |
Club_Membership_Buyer |
Value_shoppers |
Womens_Apparel_Buyers |
Petite_Sized_Woman's_Apparel_Buyers |
Plus_Sized_Woman's_Apparel_Buyers |
Young_Woman's_Apparel_Buyer |
Men's_Apparel_Buyer |
Plus_Sized_Men's_Apparel_Buyer |
Young_Men's_Apparel_Buyer |
Kids_Apparel_Buyer |
Beauty_and_Health_Shoppers |
Cosmetics_Buyer |
Jewelry_Buyer |
Luggage_Buyers |
Amex_Premium_Credit_Card_Holder |
Amex_Regular_Credit_Card_Holder |
Discover_Premium_Credit_Card_Holder |
Discover_Regular_Credit_Card_Holder |
Gas_Regular_Credit_Card_Holder |
Mastercard_Premium_Credit_Card_Holder |
Mastercard_Regular_Credit_Card_Holder |
Visa_Premium_credit_Card_Holder |
Visa_Regular_Credit_Card_Holder |
Travel/entertainment_credit_card_holder |
Unknown_Credit_Card_Holder |
Credit_Card_User |
Newly_issued_Credit_Card_User |
Investment_Account |
Personal_Investor |
Real_Estate_Investor |
Stock_market_investor |
Invest_Read_Fin_News |
Invest_Money_Seeker |
Interest_in_Group_Investment |
Foreign_Market_Investor |
Estate_Property_Investor |
Interest_in_Group_donor |
Donated_via_Mail |
Donated_to_Charitable_Trust |
Donated_for_Animal_Welfare |
Donated_for_Arts |
Donated_for_Children_Welfare |
Donated_to_Wild_Life_Welfare |
Donated_for_Environment |
Donated_for_Health_Welfare |
Donated_to_International_Aid |
Donated_for_Political_Cause |
Donated_for_Conservative_Political_Cause |
Donated_for_Liberal_Political_Cause |
Donated_for_Religion |
Donated_for_Veteran_Welfare |
Donated_for_Others |
Community_Charitable_Organization_Donor |
Veteran_in_HouseHold |
Interest_in_Parenting |
Single_Parent |
Infant_Apparel_Buyer |
Kids_Learn_Toys_Buyer |
Kids_Baby_Care_Buyer |
Kids_School_Goods_Buyer |
Kids_General_Buyer |
Young_Adults_in_HouseHold |
Senior_Adult_in_Household |
Interest_in_Kids |
Interest_in_Grand_Children |
Interest_in_Christian_Family |
Pets_Buyer |
Interest_in_Pet_Cats |
Interest_in_Pet_Dogs |
Interest_in_Other_Pets |
Interest_In_Career_Improvement |
Working_Women_in_House_Hold |
Africant_American_Professors_in_Household |
Interest_in_Career |
Magazines_Buyer |
Books_Buyer |
Audio_Books_Buyer |
Avid_Readers |
Religious_Readers |
Sci-Fi_Readers |
Magazine_Readers |
Audio_Book_Listeners |
Group_Readers |
Military_History_Readers |
Current_Affairs_Readers |
Religious_Item_Buyers |
Space_Science_Readers |
Online_Education_Enthusiasts |
Gaming_Enthusiasts |
Dvd_Video_Enthusiasts |
Tv_Movie_Enthusiasts |
Occupation_Home_Office |
High_End_Application_Enthusiasts |
Stereo_Buyer |
Music_player_Enthusiasts |
Music_Collection_Enthusiasts |
Avid_Music_Enthusiasts |
Movie_Collection_Enthusiasts |
Cable_TV_Enthusiasts |
Video_Gaming_Enthusiasts |
Satellite_Dish_Enthusiasts |
Computer_Entusiasts |
Pc_Gaming_Enthusiasts |
Electronic_Console_Enthusiasts |
Interest_in_Movie_&_Music |
Interest_in_electronics |
Interest_in_telecommunication |
Antiques_Buyer |
Art_Buyer |
Theater_Enthusiasts |
Musical_Instruments_Enthusiasts |
Interest_in_General_Collection |
Interest_in_Stamp_collection |
Interest_in_Coin_collection |
Interest_in_Arts_collection |
Interest_in_Antique_collection |
Interest_in_Sports_Collection |
Collectibles_Buyer |
Interest_in_DIY_Hobbies |
Interest_in_Automobile_Works |
Sewing_Hobby |
Woodworking_Hobby |
Photography_Hobby |
Aviation_Hobby |
House_Plant_Hobby |
Craft_hobby |
Gardening_hobby |
Gardening_Buyer |
Home_Gardening_Buyer |
Interest_in_Home_Improvement |
Craft_Buyers |
Photography_Equipment_Buyer |
Interest_in_Smoking |
Interest_in_Home_Decoration |
Home_Improvement_Hobby |
Interest_in_Wine_Making |
Interest_in_General_Cooking |
Interest_in_Gourmet_cooking |
Interest_in_Natural_Food_Cooking |
Interest_in_Group_Cooking |
Gaming_Hobby |
Interest_in_Casino |
Interest_In_Sweepstakes |
Interest_in_Group_Travel |
Interest_in_travel |
Interest_in_Cross_country_Travel |
Interest_in_International_Travel |
Interest_in_Cruise_Travel |
Interest_in_Group_Exercise |
Interest_in_Jogging |
Interest_in_Walking |
Interest_in_Aerobics |
Auto_Sport_Spectators |
Tv_Sport_Spectators |
Football_Spectators |
Baseball_Spectators |
Basketball_Spectators |
Hockey_Spectators |
Soccer_Spectators |
Interest_in_Tennis |
Interest_in_Golf |
Interest_in_Snow_Skiing |
Interest_in_Motorcycle_Sport |
Interest_in_Nascar |
Interest_in_Boating |
Interest_in_Scuba_Diving |
Sport_Leisure_Buyer |
Hunting_Equipment_Buyer |
Interest_in_Fishing |
Interest_in_Sports_Camps |
Interest_in_Shooting_Sports |
Interest_in_group_sports |
Interest_in_Outdoor_Group_Activities |
Interest_in_Personal_Health |
Interest_in_Personal_Diet |
Interest_in_Personal_Fitness |
Auto_parts_Buyer |
General_Home_Value |
Loan2_Amount |
Loan_Date |
Mortgage_Loan_Type |
Home_Loan_Lender |
Mortgage_Loan2__Rate_Type |
Property_Build_Year |
Property_With_Ac |
Property_With_Pool |
Property_With_Sewer |
Property_With_Water |
Loan_to_Value |
Credit_Rating |
Mortgage_Loan2_Amount |
Primary_Address |
Pre_Address |
Street |
Post_Address |
Address_suffix |
Address_Abrev |
Mortgage_Loan2_Type |
Address_SecondLine |
Loan2_Type |
Mortgage_Lender_code |
Mortgage_Loan2_Lender_code |
Lender_code_of_Home_purchase |
Mortgage_Lender |
Mortgage_Loan2_Lender |
Mortgage_Loan2_RateType |
Mortgage_Rate |
Mortgage_Loan2_Rate |
Party_Affiliation |
Address_ID |
Household_ID |
IAB_Category |
Phone_number |
DNC |
IsCellPhone |
IsLandline |
IsWorkPhone |
Carrier |
Phone_Date |
Email_ID |
Url |
Ip |
Email_Domain |
Opt_In_Date |
Email_Verify_Flag |
Accuracy |
Last_Seen_Date |
Device_Type |
UserAgent |
OS |
Motorcycle_Date |
Motorcycle_Vin |
Motorcycle_Model |
Motorcycle_Year |
Motorcycle_Make |
Motorcycle_ManufacturedCountry |
Auto_Make |
Auto_Model |
Auto_Year |
Auto_Vin_No |
Auto_Tdate |
Auto_Trim |
Auto_Style |
Auto_Vehicle_Type |
Auto_Body_Type |
Auto_Msrp |
Auto_Fuel_Type |
Auto_Def_Engine_Cylinders |
Auto_Def_Trans_Type |
Auto_Max_Payload |
Auto_Mfg_Code |
Auto_GrossVehicleWeight_Range |
Number_of_vehicles_in_HouseHold |
DriversLicenseState |
DriversLicenseEverRevoked |
AutoHasABS |
Auto_Has_Airbags |
Auto_Alarm_Type |
Auto_Ins_Company |
Auto_Insured_Since |
Auto_Ins_ExpiryDate |
Auto_Ins_Coverage_Type |
Auto_Ins_Bodily_Injury_Coverage |
Auto_Ins_Property_Damage_Coverage |
Auto_Ins_Collision_Deductible |
Auto_Ins_Comprehensive_Deductible |
Auto_Annual_Miles |
Auto_Commute_Distance |
Auto_Ins_Coverage_Type_Requested |
Auto_Primary_Use |
Auto_Insurance_Date |
Clusters |
Employee_ID |
Company_ID |
Business_Phone |
PhoneType |
Business_Email |
Domain |
Inferred |
Contact_Professional_Suffix |
Business_Address |
Business_City |
Business_State |
Business_Zip5 |
Business_Zip4 |
Language_Code |
Line_Of_Travel |
TITLE |
Department |
Level |
Race |
Job_Function |
Company_Name |
Company_Description |
Technologies_Used |
Company_Address |
Company_City |
Company_County |
Company_State |
Company_ZIP5 |
Company_ZIP4 |
Company_Carrier_Route |
Company_Mailing_Address |
Company_Mailing_Carrier_Route |
Company_Mailing_City |
Company_Mailing_State |
Company_Mailing_ZIP4 |
Company_Mailing_ZIP5 |
Company_Latitude |
Company_Longitude |
Company_CBSA_Code |
Company_Census_Block_Group |
Company_Census_Tract |
Company_County_Code |
Company_Credit_Score |
Company_CSA_Code |
Company_DPBC |
Company_FranchiseFlag |
Company_FacebookURL |
Company_LinkedInURL |
Company_TwitterURL |
Company_Company_Website |
Company_Fortune_Rank |
Company_Government_Type |
Company_Headquarters_Branch |
Company_Home_Business |
Company_Import_Export |
Company_Industry |
Company_Num_PCs_Used |
Company_Num_Employees |
Company_Individual_Firm_Code |
Company_Firm_Individual |
Company_MSA |
Company_MSA_Name |
Company_NAICS_CODE |
Company_NAICS_Description |
Company_NAICS_CODE2 |
Company_NAICS_Description2 |
Company_NAICS_CODE3 |
Company_NAICS_Description3 |
Company_SCF |
Company_SIC_Code2 |
Company_SIC_Code2_Description |
Company_SIC_Code4 |
Company_SIC_Code4_Description |
Company_SIC_Code6 |
Company_SIC_Code6_Description |
Company_SIC_Code8 |
Company_SIC_Code8_Description |
Company_Parent_Company |
Company_Parent_Company_Location |
Company_Public_Private_Company |
Company_Subsidiary_Company |
Company_Residential_Business_Code |
Company_Revenue_At_Site_Code |
Company_Revenue_Range |
Company_Revenue |
Company_Sales_Volume |
Company_Small_Business |
Company_Square_Footage |
Company_Stock_Exchange |
Company_Stock_Ticker |
Company_Year_Founded |
Company_MinorityOwned |
Company_Female_Owned_Or_Operated |
Company_Franchise_Code |
Company_DMA |
Company_DMA_Name |
Company_HQ_Address |
Company_HQ_City |
Company_HQ_Duns |
Company_HQ_State |
Company_HQ_ZIP5 |
Company_HQ_ZIP4 |
Company_Sector |
Company_Duns_Number |
Company_Date_First_Seen |
Company_Date_Last_Seen |
Company_Is_TopChain |
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Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
Integer | 693505487 | UID | |
String | Contact First Name | ||
String | Contact Last Name | ||
String | Address | ||
String | 9f08e8084750a9d3b203679bad9902da | City Name | |
String | b8ea98de1a83f61d1976027741a458be | State Name | |
String | 6baf0c68d744f7699a2fca1addf6a105 | ZIP Code | |
Zip4
|
String | a8fa3c8e035cf26461d25cf448047f04 | |
Delivery_point_bar_code
|
Integer | 791 | |
Carrier_Route
|
String | H061 | |
Walk_Sequence_Code
|
Boolean | t | |
Fips_State_Code
|
Integer | 21 | |
Fips_County_Code
|
Integer | 71 | |
String | Floyd | Country Name | |
String | f17f05d83eaeb73cee1613dbe61efc5a | Latitude | |
String | fbbf082094bc6653289131ece3ae1e30 | Longitude | |
Address_Type
|
String | S | |
Metropolitan_Statistical_area
|
|||
Core_Based_Statistical_Area
|
|||
Census_Tract
|
|||
Census_Block_Group
|
|||
Census_Block
|
|||
Census_Median_Home_Value
|
|||
Census_Median_Houesehold_Income
|
|||
Gender
|
Boolean | ||
Homeowner
|
String | H | |
Dob_Yr
|
String | 39dcaf7a053dc372fbc391d4e6b5d693 | |
Dob_Mon
|
String | 6512bd43d9caa6e02c990b0a82652dca | |
Dob_Day
|
String | c4ca4238a0b923820dcc509a6f75849b | |
Age
|
String | ||
Household_Income
|
String | K | |
Net_Worth
|
String | D | |
Credit_Lines
|
|||
Credit_Range_New
|
|||
Education_Level
|
String | A | |
Occupation
|
String | H343 | |
Occupation_Business_Owner
|
|||
Number_of_kids
|
|||
Pre_school_Kids
|
|||
Kids_M_0_2
|
|||
Kids_F_0_2
|
|||
Kids_U_0_2
|
|||
Kids_M_3_5
|
|||
Kids_F_3_5
|
|||
Kids_U_3_5
|
|||
Kids_M_6_10
|
|||
Kids_F_6_10
|
|||
Kids_U_6_10
|
|||
Kids_M_11_15
|
|||
Kids_F_11_15
|
|||
Kids_U_11_15
|
|||
Kids_M_16_17
|
|||
Kids_F_16_17
|
|||
Kids_U_16_17
|
|||
Household_Marital_Status
|
String | S | |
Length_Of_Residence
|
Integer | 10 | |
Dwell_Type
|
String | S | |
Number_of_Adults
|
Integer | 1 | |
Household_Size
|
Integer | 2 | |
Home_Market_Value
|
Integer | 85 | |
Generations
|
|||
Adults_M_18_24
|
|||
Adults_F_18_24
|
|||
Adults_U_18_24
|
|||
Adults_M_25_34
|
|||
Adults_F_25_34
|
|||
Adults_U_25_34
|
|||
Adults_M_35_44
|
|||
Adults_F_35_44
|
|||
Adults_U_35_44
|
|||
Adults_M_45_54
|
|||
Adults_F_45_54
|
|||
Adults_U_45_54
|
|||
Adults_M_55_64
|
|||
Adults_F_55_64
|
|||
Adults_U_55_64
|
|||
Adults_M_65_74
|
|||
Adults_F_65_74
|
|||
Adults_U_65_74
|
|||
Adults_M_75Plus
|
|||
Adults_F_75Plus
|
|||
Adults_U_75Plus
|
|||
Mail_Order_Buyer
|
|||
Mail_Order_Responder
|
|||
Online_Purchase_Indicator
|
|||
Club_Membership_Buyer
|
|||
Value_shoppers
|
Integer | 85 | |
Womens_Apparel_Buyers
|
|||
Petite_Sized_Woman's_Apparel_Buyers
|
|||
Plus_Sized_Woman's_Apparel_Buyers
|
|||
Young_Woman's_Apparel_Buyer
|
|||
Men's_Apparel_Buyer
|
|||
Plus_Sized_Men's_Apparel_Buyer
|
|||
Young_Men's_Apparel_Buyer
|
|||
Kids_Apparel_Buyer
|
|||
Beauty_and_Health_Shoppers
|
Boolean | t | |
Cosmetics_Buyer
|
Boolean | t | |
Jewelry_Buyer
|
|||
Luggage_Buyers
|
|||
Amex_Premium_Credit_Card_Holder
|
|||
Amex_Regular_Credit_Card_Holder
|
|||
Discover_Premium_Credit_Card_Holder
|
|||
Discover_Regular_Credit_Card_Holder
|
|||
Gas_Regular_Credit_Card_Holder
|
|||
Mastercard_Premium_Credit_Card_Holder
|
|||
Mastercard_Regular_Credit_Card_Holder
|
|||
Visa_Premium_credit_Card_Holder
|
|||
Visa_Regular_Credit_Card_Holder
|
|||
Travel/entertainment_credit_card_holder
|
|||
Unknown_Credit_Card_Holder
|
|||
Credit_Card_User
|
|||
Newly_issued_Credit_Card_User
|
|||
Investment_Account
|
|||
Personal_Investor
|
|||
Real_Estate_Investor
|
|||
Stock_market_investor
|
|||
Invest_Read_Fin_News
|
|||
Invest_Money_Seeker
|
|||
Interest_in_Group_Investment
|
|||
Foreign_Market_Investor
|
|||
Estate_Property_Investor
|
|||
Interest_in_Group_donor
|
|||
Donated_via_Mail
|
|||
Donated_to_Charitable_Trust
|
|||
Donated_for_Animal_Welfare
|
|||
Donated_for_Arts
|
|||
Donated_for_Children_Welfare
|
|||
Donated_to_Wild_Life_Welfare
|
|||
Donated_for_Environment
|
|||
Donated_for_Health_Welfare
|
|||
Donated_to_International_Aid
|
|||
Donated_for_Political_Cause
|
|||
Donated_for_Conservative_Political_Cause
|
|||
Donated_for_Liberal_Political_Cause
|
|||
Donated_for_Religion
|
|||
Donated_for_Veteran_Welfare
|
|||
Donated_for_Others
|
|||
Community_Charitable_Organization_Donor
|
|||
Veteran_in_HouseHold
|
|||
Interest_in_Parenting
|
|||
Single_Parent
|
|||
Infant_Apparel_Buyer
|
|||
Kids_Learn_Toys_Buyer
|
|||
Kids_Baby_Care_Buyer
|
|||
Kids_School_Goods_Buyer
|
|||
Kids_General_Buyer
|
|||
Young_Adults_in_HouseHold
|
|||
Senior_Adult_in_Household
|
|||
Interest_in_Kids
|
|||
Interest_in_Grand_Children
|
|||
Interest_in_Christian_Family
|
|||
Pets_Buyer
|
|||
Interest_in_Pet_Cats
|
|||
Interest_in_Pet_Dogs
|
|||
Interest_in_Other_Pets
|
|||
Interest_In_Career_Improvement
|
|||
Working_Women_in_House_Hold
|
|||
Africant_American_Professors_in_Household
|
|||
Interest_in_Career
|
|||
Magazines_Buyer
|
Boolean | t | |
Books_Buyer
|
Boolean | t | |
Audio_Books_Buyer
|
|||
Avid_Readers
|
|||
Religious_Readers
|
|||
Sci-Fi_Readers
|
|||
Magazine_Readers
|
|||
Audio_Book_Listeners
|
|||
Group_Readers
|
|||
Military_History_Readers
|
|||
Current_Affairs_Readers
|
|||
Religious_Item_Buyers
|
|||
Space_Science_Readers
|
|||
Online_Education_Enthusiasts
|
|||
Gaming_Enthusiasts
|
|||
Dvd_Video_Enthusiasts
|
|||
Tv_Movie_Enthusiasts
|
|||
Occupation_Home_Office
|
|||
High_End_Application_Enthusiasts
|
|||
Stereo_Buyer
|
|||
Music_player_Enthusiasts
|
|||
Music_Collection_Enthusiasts
|
|||
Avid_Music_Enthusiasts
|
|||
Movie_Collection_Enthusiasts
|
|||
Cable_TV_Enthusiasts
|
|||
Video_Gaming_Enthusiasts
|
|||
Satellite_Dish_Enthusiasts
|
|||
Computer_Entusiasts
|
|||
Pc_Gaming_Enthusiasts
|
|||
Electronic_Console_Enthusiasts
|
|||
Interest_in_Movie_&_Music
|
|||
Interest_in_electronics
|
|||
Interest_in_telecommunication
|
|||
Antiques_Buyer
|
|||
Art_Buyer
|
|||
Theater_Enthusiasts
|
|||
Musical_Instruments_Enthusiasts
|
|||
Interest_in_General_Collection
|
|||
Interest_in_Stamp_collection
|
|||
Interest_in_Coin_collection
|
|||
Interest_in_Arts_collection
|
|||
Interest_in_Antique_collection
|
|||
Interest_in_Sports_Collection
|
|||
Collectibles_Buyer
|
|||
Interest_in_DIY_Hobbies
|
|||
Interest_in_Automobile_Works
|
|||
Sewing_Hobby
|
|||
Woodworking_Hobby
|
|||
Photography_Hobby
|
|||
Aviation_Hobby
|
|||
House_Plant_Hobby
|
|||
Craft_hobby
|
Boolean | t | |
Gardening_hobby
|
Boolean | t | |
Gardening_Buyer
|
|||
Home_Gardening_Buyer
|
|||
Interest_in_Home_Improvement
|
|||
Craft_Buyers
|
|||
Photography_Equipment_Buyer
|
|||
Interest_in_Smoking
|
|||
Interest_in_Home_Decoration
|
|||
Home_Improvement_Hobby
|
|||
Interest_in_Wine_Making
|
|||
Interest_in_General_Cooking
|
|||
Interest_in_Gourmet_cooking
|
|||
Interest_in_Natural_Food_Cooking
|
|||
Interest_in_Group_Cooking
|
|||
Gaming_Hobby
|
|||
Interest_in_Casino
|
|||
Interest_In_Sweepstakes
|
|||
Interest_in_Group_Travel
|
|||
Interest_in_travel
|
|||
Interest_in_Cross_country_Travel
|
|||
Interest_in_International_Travel
|
|||
Interest_in_Cruise_Travel
|
|||
Interest_in_Group_Exercise
|
|||
Interest_in_Jogging
|
|||
Interest_in_Walking
|
|||
Interest_in_Aerobics
|
|||
Auto_Sport_Spectators
|
|||
Tv_Sport_Spectators
|
|||
Football_Spectators
|
|||
Baseball_Spectators
|
|||
Basketball_Spectators
|
|||
Hockey_Spectators
|
|||
Soccer_Spectators
|
|||
Interest_in_Tennis
|
|||
Interest_in_Golf
|
|||
Interest_in_Snow_Skiing
|
|||
Interest_in_Motorcycle_Sport
|
|||
Interest_in_Nascar
|
|||
Interest_in_Boating
|
|||
Interest_in_Scuba_Diving
|
|||
Sport_Leisure_Buyer
|
|||
Hunting_Equipment_Buyer
|
|||
Interest_in_Fishing
|
|||
Interest_in_Sports_Camps
|
|||
Interest_in_Shooting_Sports
|
|||
Interest_in_group_sports
|
|||
Interest_in_Outdoor_Group_Activities
|
|||
Interest_in_Personal_Health
|
|||
Interest_in_Personal_Diet
|
|||
Interest_in_Personal_Fitness
|
|||
Auto_parts_Buyer
|
|||
General_Home_Value
|
Integer | 127400 | |
Loan2_Amount
|
|||
Loan_Date
|
|||
Mortgage_Loan_Type
|
|||
Home_Loan_Lender
|
|||
Mortgage_Loan2__Rate_Type
|
|||
Property_Build_Year
|
Integer | 2000 | |
Property_With_Ac
|
|||
Property_With_Pool
|
|||
Property_With_Sewer
|
|||
Property_With_Water
|
|||
Loan_to_Value
|
Integer | 79 | |
Credit_Rating
|
String | C | |
Mortgage_Loan2_Amount
|
Integer | 15000 | |
Primary_Address
|
String | 82176ae8c4f093892a88d41dc7e48eda | |
Pre_Address
|
String | 8d9c307cb7f3c4a32822a51922d1ceaa | |
Street
|
String | 102ae00aa12e020f429a5f8047e50e7c | |
Post_Address
|
|||
Address_suffix
|
String | 611e23eaf4a64d2f06f86c7485a55e78 | |
Address_Abrev
|
String | 9f08e8084750a9d3b203679bad9902da | |
Mortgage_Loan2_Type
|
String | C | |
Address_SecondLine
|
|||
Loan2_Type
|
|||
Mortgage_Lender_code
|
Integer | 0 | |
Mortgage_Loan2_Lender_code
|
|||
Lender_code_of_Home_purchase
|
|||
Mortgage_Lender
|
|||
Mortgage_Loan2_Lender
|
String | COMMUNITY TR BK | |
Mortgage_Loan2_RateType
|
String | A | |
Mortgage_Rate
|
Integer | 0 | |
Mortgage_Loan2_Rate
|
Integer | 0 | |
Party_Affiliation
|
|||
Address_ID
|
Integer | 58032508 | |
Household_ID
|
Integer | 39036733 | |
IAB_Category
|
String | None | |
Phone_number
|
String | ||
DNC
|
String | True;True;- | |
IsCellPhone
|
String | True;False;True | |
IsLandline
|
String | False;True;False | |
IsWorkPhone
|
String | False;True;False | |
Carrier
|
String | New Cingular Wireless;Gearheart Communications;New Cingul... | |
Phone_Date
|
String | 2021-09-15;2021-05-15;2018-02-27 | |
Email_ID
|
String | 6cca4c28200b73832dab7bc84b8dbe1a | |
Url
|
String | 85a66fb4f01f3648ad27045d3a742d26 | |
Ip
|
String | ||
Email_Domain
|
String | -;olwh;aol | |
String | Hashed Email Address | ||
String | Hashed Email Address | ||
String | Hashed Email Address | ||
Opt_In_Date
|
String | 2022-09-05;2022-09-05;2022-08-11 | |
Email_Verify_Flag
|
String | True;True;True | |
String | MAID | ||
String | MAID | ||
Accuracy
|
String | 336d5ebc5436534e61d16e63ddfca327 | |
Last_Seen_Date
|
DateTime | 2022-07-23T00:00:00+00:00 | |
String | MAID | ||
Device_Type
|
String | IDFA | |
UserAgent
|
String | - | |
OS
|
String | IOS | |
Motorcycle_Date
|
|||
Motorcycle_Vin
|
|||
Motorcycle_Model
|
|||
Motorcycle_Year
|
|||
Motorcycle_Make
|
|||
Motorcycle_ManufacturedCountry
|
|||
Auto_Make
|
String | Chevrolet;Hyundai;FORD | |
Auto_Model
|
String | Cruze;Sonata;Explorer | |
Auto_Year
|
String | 2012;2015;2003 | |
Auto_Vin_No
|
String | 1eb35e4ff9191c10d03d30ecb0aa5090 | |
Auto_Tdate
|
String | -;-;- | |
Auto_Trim
|
String | Lt Fleet;Sport;XLS | |
Auto_Style
|
String | LT Fleet 4dr Sedan;Sport 4dr Sedan;4dr XLS 4WD SUV | |
Auto_Vehicle_Type
|
String | CAR;CAR;SUV | |
Auto_Body_Type
|
String | SEDAN;SEDAN;SUV | |
Auto_Msrp
|
String | 18275;23175;29155 | |
Auto_Fuel_Type
|
String | G;G;F | |
Auto_Def_Engine_Cylinders
|
String | 4;4;6 | |
Auto_Def_Trans_Type
|
String | A;A;A | |
Auto_Max_Payload
|
String | 1219;-;- | |
Auto_Mfg_Code
|
String | -;-;- | |
Auto_GrossVehicleWeight_Range
|
String | 4001-5000;-;5001-6000 | |
Number_of_vehicles_in_HouseHold
|
String | 3;3;3 | |
DriversLicenseState
|
String | -;-;- | |
DriversLicenseEverRevoked
|
String | -;-;- | |
AutoHasABS
|
String | -;-;- | |
Auto_Has_Airbags
|
String | -;-;- | |
Auto_Alarm_Type
|
String | -;-;- | |
Auto_Ins_Company
|
String | -;-;- | |
Auto_Insured_Since
|
String | -;-;- | |
Auto_Ins_ExpiryDate
|
String | -;-;- | |
Auto_Ins_Coverage_Type
|
String | -;-;- | |
Auto_Ins_Bodily_Injury_Coverage
|
String | -;-;- | |
Auto_Ins_Property_Damage_Coverage
|
String | -;-;- | |
Auto_Ins_Collision_Deductible
|
String | -;-;- | |
Auto_Ins_Comprehensive_Deductible
|
String | -;-;- | |
Auto_Annual_Miles
|
String | -;-;- | |
Auto_Commute_Distance
|
String | -;-;- | |
Auto_Ins_Coverage_Type_Requested
|
String | -;-;- | |
Auto_Primary_Use
|
String | -;-;- | |
Auto_Insurance_Date
|
String | -;-;- | |
Clusters
|
String | Country Clout | |
Employee_ID
|
|||
Company_ID
|
|||
Business_Phone
|
|||
PhoneType
|
|||
Business_Email
|
|||
Domain
|
|||
Inferred
|
|||
Contact_Professional_Suffix
|
|||
Business_Address
|
|||
Business_City
|
|||
Business_State
|
|||
Business_Zip5
|
|||
Business_Zip4
|
|||
Language_Code
|
|||
Line_Of_Travel
|
|||
TITLE
|
|||
Department
|
|||
Level
|
|||
Race
|
|||
Job_Function
|
|||
Company_Name
|
|||
Company_Description
|
|||
Technologies_Used
|
|||
Company_Address
|
|||
Company_City
|
|||
Company_County
|
|||
Company_State
|
|||
Company_ZIP5
|
|||
Company_ZIP4
|
|||
Company_Carrier_Route
|
|||
Company_Mailing_Address
|
|||
Company_Mailing_Carrier_Route
|
|||
Company_Mailing_City
|
|||
Company_Mailing_State
|
|||
Company_Mailing_ZIP4
|
|||
Company_Mailing_ZIP5
|
|||
Company_Latitude
|
|||
Company_Longitude
|
|||
Company_CBSA_Code
|
|||
Company_Census_Block_Group
|
|||
Company_Census_Tract
|
|||
Company_County_Code
|
|||
Company_Credit_Score
|
|||
Company_CSA_Code
|
|||
Company_DPBC
|
|||
Company_FranchiseFlag
|
|||
Company_FacebookURL
|
|||
Company_LinkedInURL
|
|||
Company_TwitterURL
|
|||
Company_Company_Website
|
|||
Company_Fortune_Rank
|
|||
Company_Government_Type
|
|||
Company_Headquarters_Branch
|
|||
Company_Home_Business
|
|||
Company_Import_Export
|
|||
Company_Industry
|
|||
Company_Num_PCs_Used
|
|||
Company_Num_Employees
|
|||
Company_Individual_Firm_Code
|
|||
Company_Firm_Individual
|
|||
Company_MSA
|
|||
Company_MSA_Name
|
|||
Company_NAICS_CODE
|
|||
Company_NAICS_Description
|
|||
Company_NAICS_CODE2
|
|||
Company_NAICS_Description2
|
|||
Company_NAICS_CODE3
|
|||
Company_NAICS_Description3
|
|||
Company_SCF
|
|||
Company_SIC_Code2
|
|||
Company_SIC_Code2_Description
|
|||
Company_SIC_Code4
|
|||
Company_SIC_Code4_Description
|
|||
Company_SIC_Code6
|
|||
Company_SIC_Code6_Description
|
|||
Company_SIC_Code8
|
|||
Company_SIC_Code8_Description
|
|||
Company_Parent_Company
|
|||
Company_Parent_Company_Location
|
|||
Company_Public_Private_Company
|
|||
Company_Subsidiary_Company
|
|||
Company_Residential_Business_Code
|
|||
Company_Revenue_At_Site_Code
|
|||
Company_Revenue_Range
|
|||
Company_Revenue
|
|||
Company_Sales_Volume
|
|||
Company_Small_Business
|
|||
Company_Square_Footage
|
|||
Company_Stock_Exchange
|
|||
Company_Stock_Ticker
|
|||
Company_Year_Founded
|
|||
Company_MinorityOwned
|
|||
Company_Female_Owned_Or_Operated
|
|||
Company_Franchise_Code
|
|||
Company_DMA
|
|||
Company_DMA_Name
|
|||
Company_HQ_Address
|
|||
Company_HQ_City
|
|||
Company_HQ_Duns
|
|||
Company_HQ_State
|
|||
Company_HQ_ZIP5
|
|||
Company_HQ_ZIP4
|
|||
Company_Sector
|
|||
Company_Duns_Number
|
|||
Company_Date_First_Seen
|
|||
Company_Date_Last_Seen
|
|||
Company_Is_TopChain
|
Attribute | Type | Example | Mapping |
---|---|---|---|
Name
|
Name | ||
String | Contact Gender | ||
Integer | Contact Age | ||
Geographic delineations
|
MSA CBSA STATECD CNTYCD CENSUSTRACT CENSUSBLCK CNTYSIZECD... | ||
Household demographic data
|
LOR, Homeowner code etc | ||
Real estate data
|
YRBLD MOBHOMECD POOL FIREPLCD | ||
Marketshare demographics
|
MS_ACCESSORY MS_APPAREL MS_AUDIO MS_AUTO | ||
Consumer Passion Index Demographics
|
CPI_HISTORY_AMERICAN_INDEX CPI_APPAREL_INDEX CPI_APPAREL_... | ||
Geographic Demographics (Census-based)
|
CENSPCT_WATER CENS_POP_DENSITY CENS_HU_DENSITY |
Description
Country Coverage
History
Volume
340 | + Million Profiles |
800 | + Data Attributes |
Pricing
License | Starts at |
---|---|
One-off purchase | Not available |
Monthly License | Not available |
Yearly License |
$60,000 / year |
Usage-based | Not available |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Factori US Consumer Graph Data - Acquisition Marketing & Consumer Data Insights Append 100+ Attributes from 220M+ Consumer Profiles?
Our US consumer graph database is a comprehensive data enrichment solution that can help you fill the gaps in your customer data and better understand your consumers for acquisition marketing and smart consumer data insights.
What is Factori US Consumer Graph Data - Acquisition Marketing & Consumer Data Insights Append 100+ Attributes from 220M+ Consumer Profiles used for?
This product has 5 key use cases. Factori recommends using the data for Audience Segmentation, 360-Degree Customer View, Customer Acquisition, Consumer Data Enrichment, and Customer Data Intelligence. Global businesses and organizations buy Consumer Behavior Data from Factori to fuel their analytics and enrichment.
Who can use Factori US Consumer Graph Data - Acquisition Marketing & Consumer Data Insights Append 100+ Attributes from 220M+ Consumer Profiles?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Consumer Behavior Data. Get in touch with Factori to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Factori US Consumer Graph Data - Acquisition Marketing & Consumer Data Insights Append 100+ Attributes from 220M+ Consumer Profiles go?
This product has 1 years of historical coverage. It can be delivered on a monthly basis.
Which countries does Factori US Consumer Graph Data - Acquisition Marketing & Consumer Data Insights Append 100+ Attributes from 220M+ Consumer Profiles cover?
This product includes data covering 1 country like USA. Factori is headquartered in United States of America.
How much does Factori US Consumer Graph Data - Acquisition Marketing & Consumer Data Insights Append 100+ Attributes from 220M+ Consumer Profiles cost?
Pricing for Factori US Consumer Graph Data - Acquisition Marketing & Consumer Data Insights Append 100+ Attributes from 220M+ Consumer Profiles starts at USD60,000 per year. Connect with Factori to get a quote and arrange custom pricing models based on your data requirements.
How can I get Factori US Consumer Graph Data - Acquisition Marketing & Consumer Data Insights Append 100+ Attributes from 220M+ Consumer Profiles?
Businesses can buy Consumer Behavior Data from Factori and get the data via S3 Bucket and SFTP. Depending on your data requirements and subscription budget, Factori can deliver this product in .json and .csv format.
What is the data quality of Factori US Consumer Graph Data - Acquisition Marketing & Consumer Data Insights Append 100+ Attributes from 220M+ Consumer Profiles?
Factori has reported that this product has the following quality and accuracy assurances: 97% fill rate. You can compare and assess the data quality of Factori using Datarade’s data marketplace. Factori has received 2 reviews from clients. Factori appears on selected Datarade top lists ranking the best data providers, including 10 Best Data Providers for 360 Customer View, 10 Best Data Providers for Customer Segmentation, and Best Data Providers For Location-Based Marketing.
What are similar products to Factori US Consumer Graph Data - Acquisition Marketing & Consumer Data Insights Append 100+ Attributes from 220M+ Consumer Profiles?
This product has 3 related products. These alternatives include Factori Consumer Graph Data USA Purchase, Behavior, Intent, Interest Email, Address, Income, Insurance, Vehicle, Household 100+ Attributes, Accurate Append Verified US Telemarketing Lead Lists Batch & API Delivery US Consumer Database Mobile Phone Numbers, and Versium REACH - Consumer Lifestyle and Interest (Investing, Health and Fitness, Purchase Data, etc) Append API, USA, CCPA Compliant. You can compare the best Consumer Behavior Data providers and products via Datarade’s data marketplace and get the right data for your use case.