Factori AI & ML Training Data | Consumer Data | USA | Machine Learning Data
# | 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
300 | + Million Profiles |
100 | + Data Attributes |
Pricing
License | Starts at |
---|---|
One-off purchase | Not available |
Monthly License | Not available |
Yearly License |
$360,000 / year |
Usage-based | Not available |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
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Frequently asked questions
What is Factori AI & ML Training Data Consumer Data USA Machine Learning Data?
Our US consumer graph database is a comprehensive data, which can be used to training AI & ML models. It can fill the gaps in your customer data and gain a better knowledge of your consumers in USA
What is Factori AI & ML Training Data Consumer Data USA Machine Learning Data used for?
This product has 5 key use cases. Factori recommends using the data for Artificial Intelligence (AI), Machine Learning (ML), Consumer Profiling, Consumer Data Enrichment, and LLM Training. Global businesses and organizations buy Consumer Behavior Data from Factori to fuel their analytics and enrichment.
Who can use Factori AI & ML Training Data Consumer Data USA Machine Learning Data?
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 AI & ML Training Data Consumer Data USA Machine Learning Data go?
This product has 1 years of historical coverage. It can be delivered on a monthly basis.
Which countries does Factori AI & ML Training Data Consumer Data USA Machine Learning Data cover?
This product includes data covering 1 country like USA. Factori is headquartered in United States of America.
How much does Factori AI & ML Training Data Consumer Data USA Machine Learning Data cost?
Pricing for Factori AI & ML Training Data Consumer Data USA Machine Learning Data starts at USD360,000 per year. Connect with Factori to get a quote and arrange custom pricing models based on your data requirements.
How can I get Factori AI & ML Training Data Consumer Data USA Machine Learning Data?
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 AI & ML Training Data Consumer Data USA Machine Learning Data?
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 Customer Segmentation, Best Data Providers For Location-Based Marketing, and Top 10 POI Data Providers & APIs.
What are similar products to Factori AI & ML Training Data Consumer Data USA Machine Learning Data?
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, Consumer Purchase Data, Lifestyle and Interest (Investing, Health and Fitness, Purchase Data, etc) Append API, USA, CCPA Compliant, and AI & ML Training Data 800M Profiles for LLMs, Generative AI, NLP & Predictive Models. 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.