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Marketing Data | Leverage Big Data to Maximize Your Returns in Targeted Marketing Campaigns |US | 300 Million records
# | firstName |
lastName |
linkedIn |
emailVerificationDate |
businessEmail |
phone |
age |
gender |
maritalStatus |
address |
city |
state |
zip |
isPrimaryResidence |
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 |
premiumIncomeHousehold |
urbanicity |
zip4 |
dpbc |
dpv |
carrierRoute |
fipsStateCode |
fipsCountyCode |
countyName |
companyName |
companyRevenue |
seniorityLevel |
department |
jobTitle |
primaryIndustry |
companyCity |
companyState |
companyDomain |
companyEmployeeCount |
companySic |
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6 | 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 | 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 |
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Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
firstName
|
String | ||
lastName
|
String | ||
linkedIn
|
String | https://linkedin.com/in/John-Smith-55555555 | |
String | Email Address | ||
emailVerificationDate
|
String | 11/15/2024 | |
businessEmail
|
String | Johnsmith@visitiq.io | |
phone
|
Integer | ||
age
|
|||
gender
|
String | ||
maritalStatus
|
String | Married | |
address
|
String | 1515 Broadway | |
city
|
String | Orlando | |
state
|
String | FL | |
zip
|
Integer | 32810 | |
isPrimaryResidence
|
|||
householdIncome
|
|||
netWorth
|
String | $2,500 to $24,999 | |
incomeLevels
|
|||
peopleInHousehold
|
|||
adultsInHousehold
|
|||
childrenInHousehold
|
|||
veteransInHousehold
|
|||
education
|
|||
creditRange
|
|||
ethnicGroup
|
|||
generation
|
|||
homeOwner
|
String | Home Owner | |
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
|
|||
premiumIncomeHousehold
|
|||
urbanicity
|
|||
String | MAID | ||
String | MAID | ||
zip4
|
|||
dpbc
|
|||
dpv
|
|||
carrierRoute
|
|||
fipsStateCode
|
|||
fipsCountyCode
|
|||
countyName
|
|||
companyName
|
String | Express Floors | |
companyRevenue
|
String | Under 1 Million | |
seniorityLevel
|
String | Cxo | |
department
|
String | Executive | |
jobTitle
|
String | Owner | |
primaryIndustry
|
|||
companyCity
|
String | Orlando | |
companyState
|
String | FL | |
companyDomain
|
|||
companyEmployeeCount
|
String | 1 to 10 | |
companySic
|
Description
Country Coverage
History
Volume
300 million | Records |
Pricing
Suitable Company Sizes
Delivery
Use Cases
Categories
Related Products
Frequently asked questions
What is Marketing Data Leverage Big Data to Maximize Your Returns in Targeted Marketing Campaigns US 300 Million records?
Marketing Data Leverage Big Data to Maximize Your Returns in Targeted Marketing Campaigns. Get the most out of your marketing campaigns with the ultimate marketing datasets and databases from VisitIQ™. Access accurate marketing insights to help you reach your goals faster.
What is Marketing Data Leverage Big Data to Maximize Your Returns in Targeted Marketing Campaigns US 300 Million records used for?
This product has 5 key use cases. VisitIQ™ recommends using the data for Credit Scoring, Consumer Profiling, Geomarketing, Personalized Marketing, and Digital Advertising. Global businesses and organizations buy Mobile Network Coverage from VisitIQ™ to fuel their analytics and enrichment.
Who can use Marketing Data Leverage Big Data to Maximize Your Returns in Targeted Marketing Campaigns US 300 Million records?
This product is best suited if you’re a Medium-sized Business or Enterprise looking for Mobile Network Coverage. 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 Marketing Data Leverage Big Data to Maximize Your Returns in Targeted Marketing Campaigns US 300 Million records go?
This product has 30 days of historical coverage. It can be delivered on a on-demand basis.
Which countries does Marketing Data Leverage Big Data to Maximize Your Returns in Targeted Marketing Campaigns US 300 Million records cover?
This product includes data covering 1 country like USA. VisitIQ™ is headquartered in United States of America.
How much does Marketing Data Leverage Big Data to Maximize Your Returns in Targeted Marketing Campaigns US 300 Million records cost?
Pricing information for Marketing Data Leverage Big Data to Maximize Your Returns in Targeted Marketing Campaigns US 300 Million records 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 Marketing Data Leverage Big Data to Maximize Your Returns in Targeted Marketing Campaigns US 300 Million records?
Businesses can buy Mobile Network Coverage 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, .xls, and .txt format.
What is the data quality of Marketing Data Leverage Big Data to Maximize Your Returns in Targeted Marketing Campaigns US 300 Million records?
You can compare and assess the data quality of VisitIQ™ using Datarade’s data marketplace. VisitIQ™ has received 3 reviews from clients.
What are similar products to Marketing Data Leverage Big Data to Maximize Your Returns in Targeted Marketing Campaigns US 300 Million records?
This product has 3 related products. These alternatives include Audience Targeting Data - Programmatic Digital Audience Segments B2C Append - Increase your match by 3X, Alesco Consumer Database - B2C Contact Data - 264+ million US consumers with 220+ million opt-in emails - available for licensing!, and Accurate Append Verified US Phone Number Data Batch & API Delivery US Consumer Database Mobile Phone Appends. You can compare the best Mobile Network Coverage providers and products via Datarade’s data marketplace and get the right data for your use case.