TowerData Integration - ActiveProspect

TowerData Integration

Email Intelligence

PRICING

Your account will be charged $0.01 for each append by this service.

VERSION

3.2.1

ADDITIONAL INFO

TowerData Website

Overview

Provides valuable demographic, interest and purchase data on 80% of email or postal addresses instantly.

Appended Fields

TowerData will append the following data to your lead.

Appended FieldDescription
Outcome
Integration outcome (success, failure, or error)
Reason
If outcome is error, the error reason
Billable
If the event is billable, the billable count for the event, else 0
Age
Age or age range associated with consumer's email. "18-20", "21-24", "25-34", "35-44", "45-54", "55-64", "65+"
Annual Household Income
Household income associated with the consumer's email. "0-15000", "15000-25000", "25000-35000", "35000-50000", "50000-75000", "75000-100000", "100000-125000", "125000-150000", "150000-175000", "175k-200000", "200000-250000", "250000+"
Children
Are there children associated with the consumer's email?
Education
Education level associated with the consumer's email. "Completed High School", "Attended College", "Completed College", "Completed Graduate School", "Attended Vocational/Technical"
Email Date First Seen
The date that TowerData first encountered the email address
Email Longevity
A score (0-3) describing when TowerData first encountered the email address
Email Velocity
A score (0-10) reflecting the activity of the email over the last 3 months as viewed by TowerData
Email Popularity
A score (0-10) reflecting the popularity of the email as viewed by TowerData in the past 12 months
Email Month Last Open
The month that TowerData last detected an open by the email address
Gender
Gender associated with consumer's email. "Male", "Female"
Home Market Value
Home market value associated with the consumer's email. "1000-25000", "25000-50000", "50000-75000", "75000-100000", "100000-150000", "150000-200000", "200000-250000", "250000-300000", "300000-350000", "350k-500000", "500000-1000000", "1000000"
Marital Status
Marital status associated with the consumer's email. "not married", "married"
Net Worth
Consumer's net worth.
Occupation
Occupation associated with the consumer's email. "Blue Collar Worker", "Business Owner", "Civil Service", "Executive/Upper Management", "Health Services", "Homemaker", "Middle Management", "Military Personnel", "Nurse", "Part Time", "Professional", "Retired", "Secretary", "Student", "Teacher", "Technology", "White Collar Worker"
Postal Code
Postal code associated with consumer's email.
Residence Type
Residence / home owner status associated with the consumer's email. "own", "rent"
Years At Residence
Length of residence in years associated with the consumer's email. "0", "1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11-15", "16-19", "20+"
Interests Arts And Crafts
Whether or not the consumer has interest in arts and crafts
Interests Automotive
Whether or not the consumer has interest in or has purchased automotive products
Interests Baby Product Buyer
Whether or not the consumer has purchased baby products
Interests Beauty
Whether or not the consumer has interest in beauty
Interests Blogging
Whether or not the consumer has interest in blogging
Interests Books
Whether or not the consumer has interest in or has purchased books
Interests Business
Whether or not the consumer has interest in business
Interests Charitable Donors
Whether or not the consumer has interest in charitable donations
Interests Cooking
Whether or not the consumer has interest in cooking
Interests Discount Shopper
Whether or not the consumer has interest in discount shopping
Interests Health And Wellness
Whether or not the consumer has interest in health and wellness
Interests High End Brand Buyer
Whether or not the consumer has interest in or has purchased high end goods
Interests Home And Garden
Whether or not the consumer has interest in home and garden
Interests Home Improvement
Whether or not the consumer has interest in home improvement
Interests Luxury Goods
Whether or not the consumer has interest in luxury goods
Interests Magazine Buyer
Whether or not the consumer has purchased magazines
Interests News And Current Events
Whether or not the consumer has interest in news and current events
Interests Outdoor And Adventure
Whether or not the consumer has interest in outdoor and adventure
Interests Pets
Whether or not the consumer has interest in pets
Interests Sports
Whether or not the consumer has interest in sports
Interests Technology
Whether or not the consumer has interest in technology
Interests Travel
Whether or not the consumer has interest in travel

Fields

The following fields are used by this integration and automatically added to your flow when missing.

FieldDescription
Email
Email address
First Name
First name
Last Name
Last name
Address 1
Address 1
Address 2
Address 2
City
City
State
State
Postal Code
Postal code

Custom Input Variables

The following are configuration options (typically not collected with lead data).

VariableDescription
Towerdata Query AgeCheck TowerData for consumer age?
Towerdata Query Annual Household IncomeCheck TowerData for consumer income?
Towerdata Query ChildrenCheck TowerData for consumer presence of children?
Towerdata Query EducationCheck TowerData for consumer education?
Towerdata Query Email Date First SeenCheck TowerData for date consumer email first seen?
Towerdata Query Email VelocityCheck TowerData for consumer email velocity?
Towerdata Query Email PopularityCheck TowerData for consumer email popularity?
Towerdata Query Email LongevityCheck TowerData for consumer email longevity?
Towerdata Query Email Month Last OpenCheck TowerData for consumer email date last open?
Towerdata Query GenderCheck TowerData for consumer gender?
Towerdata Query Home Market ValueCheck TowerData for consumer home market value?
Towerdata Query Marital StatusCheck TowerData for consumer marital status?
Towerdata Query Net WorthCheck TowerData for consumer net worth?
Towerdata Query OccupationCheck TowerData for consumer occupation?
Towerdata Query Postal CodeCheck TowerData for consumer postal code
Towerdata Query Residence TypeCheck TowerData for consumer home owner status?
Towerdata Query Years At ResidenceCheck TowerData for consumer length of residence?
Towerdata Query Arts And CraftsCheck TowerData for consumer arts and crafts products?
Towerdata Query AutomotiveCheck TowerData for consumer automotive information?
Towerdata Query Baby Product BuyerCheck TowerData for consumer baby products?
Towerdata Query BeautyCheck TowerData for consumer beauty products?
Towerdata Query BloggingCheck TowerData for consumer blogging?
Towerdata Query BooksCheck TowerData for consumer books?
Towerdata Query BusinessCheck TowerData for consumer business?
Towerdata Query Charitable DonorsCheck TowerData for consumer charitable donations?
Towerdata Query CookingCheck TowerData for consumer cooking?
Towerdata Query Discount ShopperCheck TowerData for consumer discount shopping?
Towerdata Query Health And WellnessCheck TowerData for consumer health and wellness?
Towerdata Query High End Brand BuyerCheck TowerData for consumer high end products?
Towerdata Query Home And GardenCheck TowerData for consumer home and garden?
Towerdata Query Home ImprovementCheck TowerData for consumer home improvement?
Towerdata Query Luxury GoodsCheck TowerData for consumer luxury goods?
Towerdata Query Magazine BuyerCheck TowerData for consumer magazine?
Towerdata Query News And Current EventsCheck TowerData for consumer news interest?
Towerdata Query Outdoor And AdventureCheck TowerData for consumer outdoor and adventure products?
Towerdata Query PetsCheck TowerData for consumer pets?
Towerdata Query SportsCheck TowerData for consumer sports?
Towerdata Query TechnologyCheck TowerData for consumer technology?
Towerdata Query TravelCheck TowerData for consumer travel?
Timeout SecondsProduce an "error" outcome if the server fails to respond within this number of seconds (default: 360)