In marketing, identifying ‘who’ to target is just as – if not more important – than the messaging itself. With the amount of consumer data that’s available in the market today, wouldn’t it be nice to be able to easily identify who you need to target?

With Alesco, you aren’t just getting the data – you are getting the personas that come with it. With over 250 million individuals at over 156 million addresses available, we can help you narrow down your selection to reach the audiences that matter most to your business.

Our comprehensive omnichannel Master Consumer Database gives you access to 250 million individuals at over 156 million addresses allowing you to reach nearly every household in the country.  We maintain over three hundred demographic selection criteria on each record, allowing us to precisely target individuals most responsive to your offer. Reach these prospects via direct mail, phone, email, social or display.  Couple this data with our Machine Learning targeting algorithms to generate higher response rates, more profitable customers, and breakthrough results.


Selections include:

Affluent Households
Bank Card
Bankcard Utilization Rate
Business Owner
Buying Activity Categories
Catalog Buyer Frequency
Channel Preference
Charitable Giving Score
Child High School Graduation
Children Age Ranges
College Graduate
Community Reinvestment Act
Country of Origin
Credit Card – New Issue
Cruise Vacations
Date of Birth
Discretionary Income
Domestic Travel
Domestic Travel – Business
Dwelling Type
Dwelling Unit Size
Ethnic Code
Expectant Parent
Generations In Household
Hispanic Language Preference
Home Equity
Home Market Value
Home Purchase Date
Household Size
Insurance Renewal Month
International Travel
International Travel – Business
Investments – Active
Language Preference Code
Length of Residence
Mail Order Buyer
Mail Order Donor
Mail Order Prescription
Mail Responders
Marital Status
Media Channel Usage
Net Worth
New Car Buyer
New Home Buyer
New Mortgage Loan
New Movers
New Parents
Nielsen IPA
Nielsen P$ycle
Number of Children
Number of Vehicles
Online Orders
Online Orders Frequency
Open Auto Loans
PC Operating System
PC Owner
Political Party
Pool Owner
Population Density
Presence of Children
Property Lender Amount
Property Lender Type
Property Loan-To-Value
Property Purchase Amount
Property Type
Property Year Built
Race Code
Range of New Credit
Real Estate Investor
Recent Divorced
Religious Affiliation
Retail – In Store Only Buyer
Retail Activity
Revolving Bank Card
Single Parent
Small Office-Home Office
Software Buyer
Teen Driver
Truck/Motorcycle/RV Owner
Vacation Property Owner
Vehicle – Intend to Purchase
Vehicle Year Make Model

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