
DrivenIQ Email Database - Email Address Data - 1.5+ Tillion US email records for acquisition and/or Licensing
# | linkedIn |
twitter |
maritalStatus |
state |
zip |
householdIncome |
netWorth |
incomeLevels |
peopleInHousehold |
adultsInHousehold |
childrenInHousehold |
veteransInHousehold |
education |
creditRange |
ethnicGroup |
generation |
homeOwner |
occupationDetail |
politicalParty |
religion |
childrenBetweenAges0_3 |
childrenBetweenAges4_6 |
childrenBetweenAges7_9 |
childrenBetweenAges10_12 |
childrenBetweenAges13_18 |
behaviors |
childrenAgeRanges |
interests |
ownsAmexCard |
ownsBankCard |
dwellingType |
homeHeatType |
homePrice |
homePurchasedYearsAgo |
homeValue |
householdNetWorth |
language |
mortgageAge |
mortgageAmount |
mortgageLoanType |
mortgageRefinanceAge |
mortgageRefinanceAmount |
mortgageRefinanceType |
isMultilingual |
newCreditOfferedHousehold |
numberOfVehiclesInHousehold |
ownsInvestment |
ownsPremiumAmexCard |
ownsPremiumCard |
ownsStocksAndBonds |
personality |
isPoliticalContributor |
isVoter |
premiumIncomeHousehold |
urbanicity |
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1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx |
2 | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | 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 |
3 | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | 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 |
4 | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | 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 |
5 | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | 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 |
6 | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | 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 |
7 | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxx | xxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxx | 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 |
8 | 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 | 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 |
9 | 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 | 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 |
10 | 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 | 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 | xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | Xxxxxx | xxxxxxxx | xxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
String | Contact First Name | ||
String | Contact Last Name | ||
String | Contact Facebook URL | ||
linkedIn
|
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twitter
|
|||
String | Email Address | ||
Integer | Phone Number | ||
Integer | Contact Age | ||
String | Contact Gender | ||
maritalStatus
|
String | Married | |
String | Address | ||
String | Albuquerque | City Name | |
state
|
String | NM | |
zip
|
Integer | 87112 | |
householdIncome
|
String | C. $20,000-$29,999 | |
netWorth
|
String | H. $100,000 - $249,999 | |
incomeLevels
|
String | LT_30K | |
peopleInHousehold
|
Integer | 2 | |
adultsInHousehold
|
Integer | 2 | |
childrenInHousehold
|
Integer | 1 | |
veteransInHousehold
|
Integer | 0 | |
education
|
String | Completed College | |
creditRange
|
String | D. 650-699 | |
ethnicGroup
|
String | White | |
generation
|
String | 3. Baby Boomers (1943-1960) | |
homeOwner
|
String | Home Owner | |
occupationDetail
|
String | Nurse (Registered) | |
politicalParty
|
String | NA/Unknown | |
religion
|
String | Christian | |
childrenBetweenAges0_3
|
Integer | 0 | |
childrenBetweenAges4_6
|
Integer | 0 | |
childrenBetweenAges7_9
|
Integer | 1 | |
childrenBetweenAges10_12
|
Integer | 0 | |
childrenBetweenAges13_18
|
Integer | 1 | |
behaviors
|
String | Healthy living, Magazine Subscriber, Pet owner | |
childrenAgeRanges
|
String | 7 - 9, 13 - 18 | |
interests
|
String | Arts & crafts, Charitable donor, Collects antiques, Cooki... | |
ownsAmexCard
|
Integer | 0 | |
ownsBankCard
|
Integer | 1 | |
dwellingType
|
String | Multi Family Dwelling/Apartment | |
homeHeatType
|
String | Unknown | |
homePrice
|
|||
homePurchasedYearsAgo
|
|||
homeValue
|
|||
householdNetWorth
|
|||
language
|
String | English | |
mortgageAge
|
|||
mortgageAmount
|
|||
mortgageLoanType
|
String | NA/Unknown | |
mortgageRefinanceAge
|
|||
mortgageRefinanceAmount
|
|||
mortgageRefinanceType
|
String | NA/Unknown | |
isMultilingual
|
Integer | 0 | |
newCreditOfferedHousehold
|
String | E. $1,001 - $3,000 | |
numberOfVehiclesInHousehold
|
|||
ownsInvestment
|
Integer | 0 | |
ownsPremiumAmexCard
|
Integer | 0 | |
ownsPremiumCard
|
Integer | 0 | |
ownsStocksAndBonds
|
Integer | 0 | |
personality
|
String | Unknown | |
isPoliticalContributor
|
Integer | 1 | |
isVoter
|
Integer | 0 | |
premiumIncomeHousehold
|
String | AB. <$15K | |
urbanicity
|
String | 4. Urban |
Attribute | Type | Example | Mapping |
---|---|---|---|
Persistent ID
|
Record ID | ||
String | Contact Full Name | ||
String | Address | ||
String | Email Address |
Description
Geography
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 Email Database - Email Address Data - 1.5+ Tillion US email records for acquisition and/or Licensing?
DrivenIQ Emails are origin-owned; exclusive, continually maintained and improved upon from 20+ million website publishers from global categories including eCOMM, Retail, Business Services, Ent/Lifestyle, Financial, Travel and Dating - site that rely on DrivenIQ for anonymous website ID resolution.
What is DrivenIQ Email Database - Email Address Data - 1.5+ Tillion US email records for acquisition and/or Licensing used for?
This product has 5 key use cases. DrivenIQ recommends using the data for Cross-Device Targeting, CRM Data Enrichment, Email Marketing, Email Address Validation, and Cross Device Identity Management. Global businesses and organizations buy Ecommerce Data from DrivenIQ to fuel their analytics and enrichment.
Who can use DrivenIQ Email Database - Email Address Data - 1.5+ Tillion US email records for acquisition and/or Licensing?
This product is best suited if you’re a Medium-sized Business or Enterprise looking for Ecommerce Data. Get in touch with DrivenIQ to see what their data can do for your business and find out which integrations they provide.
Which countries does DrivenIQ Email Database - Email Address Data - 1.5+ Tillion US email records for acquisition and/or Licensing cover?
This product includes data covering 1 country like USA. DrivenIQ is headquartered in United States of America.
How much does DrivenIQ Email Database - Email Address Data - 1.5+ Tillion US email records for acquisition and/or Licensing cost?
Pricing information for DrivenIQ Email Database - Email Address Data - 1.5+ Tillion US email records for acquisition and/or Licensing 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 Email Database - Email Address Data - 1.5+ Tillion US email records for acquisition and/or Licensing?
Businesses can buy Ecommerce 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 .xls format.
What is the data quality of DrivenIQ Email Database - Email Address Data - 1.5+ Tillion US email records for acquisition and/or Licensing?
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 Email Database - Email Address Data - 1.5+ Tillion US email records for acquisition and/or Licensing?
This Tabular Data has 3 related products. These alternatives include Alesco Consumer Database - B2C Contact Data - 250+ million US consumers with 140+ million opt-in emails - available for licensing!, Versium REACH - Contact Append B2C, USA, GDPR and CCPA Compliant, 300+ million US consumers, 1 Billion emails, and over 150 million, and FrescoData Email Marketing - Consumer B2C Data⎢10K+ Audience Attributes. You can compare the best Ecommerce Data providers and products via Datarade’s data marketplace and get the right data for your use case.