
Audience Targeting Data I US Consumer | Behavioral Intelligence | Purchase, Shopper, Lifestyle Data | Verified Email, Phone, Address
ASID
|
NamePrefix
|
FirstName
|
MiddleName
|
LastName
|
NameSuffix
|
BUSINESS_EMAIL
|
BUSINESS_EMAIL_VALIDATION_STATUS
|
BUSINESS_EMAIL_SHA256
|
PERSONAL_EMAIL
|
PERSONAL_EMAIL_SHA256
|
PhoneMobile1
|
PhoneMobile2
|
LINKEDIN_URL
|
HomeAddressLine1
|
HomeAddressLine2
|
HomeCity
|
HomeState
|
HomePostalCode
|
HomeCountry
|
BusinessAddressLine1
|
BusinessAddressLine2
|
BusinessCity
|
BusinessPostalCode
|
BusinessCountry
|
RawUrlDate
|
BusinessState
|
Gender
|
Age
|
BirthYear
|
Birthdate
|
MaritalStatus
|
CurrentJobTitle
|
CurrentCompanyName
|
JobStartDate
|
JobDuration
|
JobLocation
|
JobLevel
|
Department
|
CompanySize
|
PrimaryIndustry
|
AnnualSales
|
Domain
|
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 | 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 | 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 | 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 | 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 | 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 | 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 |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
ASID
|
String | 8A3ED71E-B855-45F5-B80F-91503315F190 | |
NamePrefix
|
|||
FirstName
|
String | ||
MiddleName
|
|||
LastName
|
String | ||
NameSuffix
|
|||
BUSINESS_EMAIL
|
String | ||
BUSINESS_EMAIL_VALIDATION_STATUS
|
String | Valid (Esp) | |
BUSINESS_EMAIL_SHA256
|
String | A8A214EEBC3836774C323154553CB9BB904103FC8372D73CD5FF1E75F... | |
PERSONAL_EMAIL
|
String | ||
PERSONAL_EMAIL_SHA256
|
String | A224A6D89AB9687F25EA93B01D87F1AA9D29076A90A9D650355F61A79... | |
PhoneMobile1
|
Integer | 16126001458 | |
PhoneMobile2
|
|||
LINKEDIN_URL
|
String | linkedin.com/in/jenn-sexten-7156671a | |
HomeAddressLine1
|
String | 38019 Deer St | |
HomeAddressLine2
|
String | Apt 102 | |
HomeCity
|
String | Minneapolis | |
HomeState
|
String | MN | |
HomePostalCode
|
String | 55488-4475 | |
HomeCountry
|
String | United States | |
BusinessAddressLine1
|
String | NULL | |
BusinessAddressLine2
|
String | NULL | |
BusinessCity
|
String | NULL | |
BusinessPostalCode
|
String | NULL | |
BusinessCountry
|
String | NULL | |
RawUrlDate
|
String | NULL | |
BusinessState
|
String | NULL | |
Gender
|
Boolean | ||
Age
|
Integer | ||
BirthYear
|
Integer | 1981 | |
Birthdate
|
String | NULL | |
MaritalStatus
|
String | S | |
CurrentJobTitle
|
String | Virtual Learning Producer | |
CurrentCompanyName
|
String | Blue Cross And Blue Shield Of Minnesota | |
JobStartDate
|
String | NULL | |
JobDuration
|
String | NULL | |
JobLocation
|
String | Minneapolis, MN | |
JobLevel
|
String | Staff | |
Department
|
String | Operations | |
CompanySize
|
String | 10000+ | |
PrimaryIndustry
|
String | Hospitals And Health Care | |
AnnualSales
|
String | 1 Billion and Over | |
Domain
|
String | bluecrossmn.com |
Attribute | Type | Example | Mapping |
---|---|---|---|
IntentTopic
|
String | Small Business Loans | |
IntentStrength
|
String | High | |
WhenEngaged
|
DateTime | 3/1/2024 7:35am | |
String | Contact First Name | ||
String | Contact Last Name | ||
String | Company Email Address | ||
String | XYZ Company | Company Name | |
String | General Contractor | Contact Job Title | |
String | Manager | Job Level | |
String | Operations | Job Function | |
String | 123 Main Street | Company Address | |
String | New York | City Name | |
String | NY | State Abbreviation | |
String | 10018 | ZIP Code | |
String | Company Phone Number | ||
String | Contact Phone Number | ||
String | Contact Mobile Phone Number | ||
String | Contact LinkedIn | ||
String | 501 to 1000 | Company Employee Count | |
String | 50 Million to 100 Million | Company Annual Revenue | |
String | Construction | Company Industry | |
String | 1501; 1509 | Company SIC Code | |
String | 522110 522210 522120 621111 522291 | Company NAICS Code | |
String | xyz.com | Company Domain | |
String | Contact Age | ||
Income
|
String | $120,000-$180,000 | |
HomeOwner
|
Boolean | Y | |
NetWorth
|
String | $1 million - $2.5 million | |
Gender
|
String |
Description
Country Coverage
History
Pricing
License | Starts at |
---|---|
One-off purchase |
$2,000$1,700 / purchase |
Monthly License | Available |
Yearly License | Available |
Usage-based | Not available |
Suitable Company Sizes
Delivery
Use Cases
Categories
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Frequently asked questions
What is Audience Targeting Data I US Consumer Behavioral Intelligence Purchase, Shopper, Lifestyle Data Verified Email, Phone, Address?
Consumer Intelligence: Comprehensive demographic, lifestyle & purchase data from 140M+ consumers across 8,000+ brands. Deterministic transaction-based modeling delivers 70% ROAS increase vs traditional targeting through 150+ behavioral segments.
What is Audience Targeting Data I US Consumer Behavioral Intelligence Purchase, Shopper, Lifestyle Data Verified Email, Phone, Address used for?
This product has 5 key use cases. Allforce recommends using the data for Programmatic Advertising, Consumer Profiling, Consumer Intelligence, Digital Advertising, and Consumer Data Enrichment. Global businesses and organizations buy Consumer Behavior Data from Allforce to fuel their analytics and enrichment.
Who can use Audience Targeting Data I US Consumer Behavioral Intelligence Purchase, Shopper, Lifestyle Data Verified Email, Phone, Address?
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 Allforce to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Audience Targeting Data I US Consumer Behavioral Intelligence Purchase, Shopper, Lifestyle Data Verified Email, Phone, Address go?
This product has 6 months of historical coverage. It can be delivered on a daily, weekly, monthly, quarterly, and yearly basis.
Which countries does Audience Targeting Data I US Consumer Behavioral Intelligence Purchase, Shopper, Lifestyle Data Verified Email, Phone, Address cover?
This product includes data covering 1 country like USA. Allforce is headquartered in United States of America.
How much does Audience Targeting Data I US Consumer Behavioral Intelligence Purchase, Shopper, Lifestyle Data Verified Email, Phone, Address cost?
Pricing for Audience Targeting Data I US Consumer Behavioral Intelligence Purchase, Shopper, Lifestyle Data Verified Email, Phone, Address starts at USD2,000 per purchase. Allforce offers a 15% discount when you buy data from them through Datarade. Connect with Allforce to get a quote and arrange custom pricing models based on your data requirements.
How can I get Audience Targeting Data I US Consumer Behavioral Intelligence Purchase, Shopper, Lifestyle Data Verified Email, Phone, Address?
Businesses can buy Consumer Behavior Data from Allforce and get the data via S3 Bucket and SFTP. Depending on your data requirements and subscription budget, Allforce can deliver this product in .csv and .xls format.
What is the data quality of Audience Targeting Data I US Consumer Behavioral Intelligence Purchase, Shopper, Lifestyle Data Verified Email, Phone, Address?
You can compare and assess the data quality of Allforce using Datarade’s data marketplace. Allforce has received 7 reviews from clients.
What are similar products to Audience Targeting Data I US Consumer Behavioral Intelligence Purchase, Shopper, Lifestyle Data Verified Email, Phone, Address?
This product has 3 related products. These alternatives include Psychographic Data, Consumer Lifestyle and Interest (Investing, Health and Fitness, Purchase Data, etc) Append B2C, USA, CCPA Compliant, GeoPersona Interest Segments Europe Audience Targeting Data Available Globally GDPR-Compliant, and Factori Consumer Graph Data USA Purchase, Behavior, Intent, Interest Email, Address, Income, Insurance, Vehicle, Household 100+ Attributes. 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.