US Household-Level Consumer Data | VisitIQ™ | US Online Consumer Behavior Database 98% Coverage
# | address_id |
household_id |
zip4 |
carrier_route |
address_type |
prop_type |
hasemail |
hasphone |
nationalconsumerdatabase |
make |
model |
model_year |
occupation_detail |
num_persons_hh |
num_children_hh |
child_aged_0_3_hh |
child_aged_4_6_hh |
child_aged_7_9_hh |
child_aged_10_12_hh |
child_aged_13_18_hh |
single_family_dwelling |
dwelling_type |
home_owner |
home_price |
owns_swimming_pool |
mortgage_refi_type |
mortgage_refi_amount |
mortgage_refi_age |
mortgage_loan_type |
mortgage_amount |
mortgage_age |
median_home_value |
length_of_residence |
Recent_Health_Purchases_Total_Dollars |
Recent_Health_Purchases_Num_Companies |
Recent_Health_Purchases_Total_Orders |
ad_opt_out_flag |
publisherid |
workphone |
phonequalitylevel |
dnc |
mobilecarrier |
phone_lastseendate |
emailoptin |
emailqualitylevel |
md5_uc |
email_registerdate |
sha1_uc |
sha256_uc |
url |
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2 | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx |
3 | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx |
4 | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx |
5 | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx |
6 | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxx | xxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxx |
7 | Xxxxx | Xxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxx | xxxxx | xxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxx | Xxxxxx | xxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxx | xxxxxx | xxxxx |
8 | xxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | Xxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxx |
9 | Xxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxx | xxxxxxxx | xxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx |
10 | Xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | xxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxx | Xxxxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxxx |
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Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
address_id
|
Integer | 137182241 | |
household_id
|
Integer | 191606675 | |
String | Contact First Name | ||
String | Contact Last Name | ||
String | Address | ||
String | San Antonio | City Name | |
String | TX | State Name | |
Integer | 78221 | ZIP Code | |
zip4
|
Integer | 3210 | |
carrier_route
|
String | C078 | |
String | Bexar | County Name | |
Float | 29.337748 | Latitude | |
Float | -98.510544 | Longitude | |
address_type
|
String | S | |
Boolean | Contact Gender | ||
prop_type
|
|||
hasemail
|
Integer | 1 | |
hasphone
|
Integer | 1 | |
nationalconsumerdatabase
|
Integer | 1 | |
make
|
String | FORD | |
model
|
String | F-250 | |
model_year
|
Integer | 1996 | |
String | VIN | ||
occupation_detail
|
String | Self Employed | |
num_persons_hh
|
Integer | 3 | |
num_children_hh
|
Integer | 1 | |
child_aged_0_3_hh
|
Integer | 0 | |
child_aged_4_6_hh
|
Integer | 0 | |
child_aged_7_9_hh
|
Integer | 0 | |
child_aged_10_12_hh
|
Integer | 0 | |
child_aged_13_18_hh
|
Integer | 0 | |
single_family_dwelling
|
Integer | 1 | |
dwelling_type
|
String | Single Family | |
home_owner
|
String | Home Owner | |
home_price
|
|||
owns_swimming_pool
|
Integer | 0 | |
mortgage_refi_type
|
String | NA/Unknown | |
mortgage_refi_amount
|
|||
mortgage_refi_age
|
|||
mortgage_loan_type
|
String | NA/Unknown | |
mortgage_amount
|
|||
mortgage_age
|
|||
median_home_value
|
Integer | 47400 | |
length_of_residence
|
Integer | 15 | |
Recent_Health_Purchases_Total_Dollars
|
|||
Recent_Health_Purchases_Num_Companies
|
|||
Recent_Health_Purchases_Total_Orders
|
String | 0. NA/Unknown | |
String | MAID | ||
String | MAID | ||
ad_opt_out_flag
|
|||
publisherid
|
|||
Integer | Phone Number | ||
workphone
|
|||
phonequalitylevel
|
Integer | 0 | |
dnc
|
|||
mobilecarrier
|
String | Time Warner Communications | |
phone_lastseendate
|
String | 2/15/22 | |
String | Email Address | ||
emailoptin
|
Integer | 1 | |
emailqualitylevel
|
Integer | 1 | |
md5_uc
|
String | 56bb0724201dbc1e00725b4e4b057801 | |
String | Hashed Email Address | ||
email_registerdate
|
String | 6/21/19 | |
sha1_uc
|
String | 69bd4a0b5d285bfac387fa642db9064e748d8a5d | |
String | Hashed Email Address | ||
sha256_uc
|
String | b6d8a254c41d8d2c74f958d68935b38f2d023cb9e50578cb5ae2d1021... | |
String | Hashed Email Address | ||
url
|
String | rewardzoneusa.com |
Attribute | Type | Example | Mapping |
---|---|---|---|
Persistent ID
|
Record ID | ||
String | Contact Full Name | ||
String | Address | ||
String | Email Address | ||
Email Optin Flag
|
Optin = 1 | ||
String | MAID |
Description
Country Coverage
History
Volume
240 million | Households |
Pricing
License | Starts at |
---|---|
One-off purchase | Available |
Monthly License | Available |
Yearly License | Available |
Usage-based | Available |
Suitable Company Sizes
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is US Household-Level Consumer Data VisitIQ™ US Online Consumer Behavior Database 98% Coverage?
Custom audiences for digital onboarding, direct mail, and other marketing use cases. 100% privacy compliant, Shelby Act, CCPA, GDPR. Tiered volume pricing options.
What is US Household-Level Consumer Data VisitIQ™ US Online Consumer Behavior Database 98% Coverage used for?
This product has 1 key use case. VisitIQ™ recommends using the data for 360-Degree Customer View. Global businesses and organizations buy Demographic Data from VisitIQ™ to fuel their analytics and enrichment.
Who can use US Household-Level Consumer Data VisitIQ™ US Online Consumer Behavior Database 98% Coverage?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Demographic Data. Get in touch with VisitIQ™ 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 Household-Level Consumer Data VisitIQ™ US Online Consumer Behavior Database 98% Coverage go?
This product has 30 years of historical coverage. It can be delivered on a weekly, monthly, quarterly, and yearly basis.
Which countries does US Household-Level Consumer Data VisitIQ™ US Online Consumer Behavior Database 98% Coverage cover?
This product includes data covering 1 country like USA. VisitIQ™ is headquartered in United States of America.
How much does US Household-Level Consumer Data VisitIQ™ US Online Consumer Behavior Database 98% Coverage cost?
Pricing information for US Household-Level Consumer Data VisitIQ™ US Online Consumer Behavior Database 98% Coverage is available by getting in contact with VisitIQ™. Connect with VisitIQ™ to get a quote and arrange custom pricing models based on your data requirements.
How can I get US Household-Level Consumer Data VisitIQ™ US Online Consumer Behavior Database 98% Coverage?
Businesses can buy Demographic Data from VisitIQ™ and get the data via S3 Bucket, SFTP, Email, and UI Export. Depending on your data requirements and subscription budget, VisitIQ™ can deliver this product in .csv and .xls format.
What is the data quality of US Household-Level Consumer Data VisitIQ™ US Online Consumer Behavior Database 98% Coverage?
You can compare and assess the data quality of VisitIQ™ using Datarade’s data marketplace. VisitIQ™ has received 3 reviews from clients. VisitIQ™ appears on selected Datarade top lists ranking the best data providers, including Best +8 License Plate Lookup APIs to use in 2023.
What are similar products to US Household-Level Consumer Data VisitIQ™ US Online Consumer Behavior Database 98% Coverage?
This product has 3 related products. These alternatives include US-Based Consumer Behavior Data VisitIQ™ US Online Consumer Behavior Database 670 Million People Profiles with Digital Identifiers, Consumer Marketing Data, Audience Targeting Data- B2C Consumer Audience Builder USA - Identity Graph Data, and BIGDBM US Consumer Date of Birth (DOB) Data. You can compare the best Demographic Data providers and products via Datarade’s data marketplace and get the right data for your use case.