
DrivenIQ, US, Household-Level Consumer Data, US, Consumer Data, 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 |
MAID_lastseendate |
MAID_os |
ad_opt_out_flag |
publisherid |
workphone |
phonequalitylevel |
dnc |
mobilecarrier |
phone_lastseendate |
emailoptin |
emailqualitylevel |
md5_uc |
md5 |
email_registerdate |
sha1_uc |
sha1 |
sha256_uc |
sha256 |
url |
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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 |
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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 |
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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 | |
MAID_lastseendate
|
String | 5/14/22 | |
MAID_os
|
String | ANDROID | |
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 | |
md5
|
String | 28232275c08e7105e965fd8096f6ce35 | |
email_registerdate
|
String | 6/21/19 | |
sha1_uc
|
String | 69bd4a0b5d285bfac387fa642db9064e748d8a5d | |
sha1
|
String | 1fd9d44a229c764dad41b120341dbb32da7a3c7f | |
sha256_uc
|
String | b6d8a254c41d8d2c74f958d68935b38f2d023cb9e50578cb5ae2d1021... | |
sha256
|
String | dfd6b551551a498a2b88817aea2972cc5a864cba773955ac254a07fdb... | |
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 | ||
Mobile Ad ID
|
06C693B9-E2C5-49A8-BD90-B18AEC2A2679 |
Description
Geography
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 DrivenIQ, US, Household-Level Consumer Data, US, Consumer Data, 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 DrivenIQ, US, Household-Level Consumer Data, US, Consumer Data, 98% Coverage used for?
This product has 1 key use case. DrivenIQ recommends using the data for 360-Degree Customer View. Global businesses and organizations buy Automotive Data from DrivenIQ to fuel their analytics and enrichment.
Who can use DrivenIQ, US, Household-Level Consumer Data, US, Consumer Data, 98% Coverage?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Automotive Data. Get in touch with DrivenIQ to see what their data can do for your business and find out which integrations they provide.
How far back does the data in DrivenIQ, US, Household-Level Consumer Data, US, Consumer Data, 98% Coverage go?
This Tabular Data has 30 years of historical coverage. It can be delivered on a weekly, monthly, quarterly, and yearly basis.
Which countries does DrivenIQ, US, Household-Level Consumer Data, US, Consumer Data, 98% Coverage cover?
This product includes data covering 1 country like USA. DrivenIQ is headquartered in United States of America.
How much does DrivenIQ, US, Household-Level Consumer Data, US, Consumer Data, 98% Coverage cost?
Pricing information for DrivenIQ, US, Household-Level Consumer Data, US, Consumer Data, 98% Coverage is available by getting in contact with DrivenIQ. Connect with DrivenIQ to get a quote and arrange custom pricing models based on your data requirements.
How can I get DrivenIQ, US, Household-Level Consumer Data, US, Consumer Data, 98% Coverage?
Businesses can buy Automotive Data from DrivenIQ and get the data via S3 Bucket, SFTP, Email, and UI Export. Depending on your data requirements and subscription budget, DrivenIQ can deliver this product in .csv and .xls format.
What is the data quality of DrivenIQ, US, Household-Level Consumer Data, US, Consumer Data, 98% Coverage?
You can compare and assess the data quality of DrivenIQ using Datarade’s data marketplace. DrivenIQ has received 3 reviews from clients.
What are similar products to DrivenIQ, US, Household-Level Consumer Data, US, Consumer Data, 98% Coverage?
This Tabular Data has 3 related products. These alternatives include Accredited Investors: (16,000,000+ Individuals making over $200,000 per year), Alesco Consumer Database - Individual-Level Consumer Data - 250+ million US consumers with 140+ million opt-in emails - available for licensing!, and AGR Automotive Data - US VIN file of 165 million autos with address verification.. You can compare the best Automotive Data providers and products via Datarade’s data marketplace and get the right data for your use case.