Blair Masterfile Modeling Database Mailing List

This well known collection of catalogs includes Womenswear, Menswear, (including Irvine Park and Scandia Woods products) and Home. The Blair Masterfile modeling database uses selected enhancement data and Blair house variables as predictors to create the model. By identifying your best customers with their unique characteristics, and matching them to Blair customers, you can significantly increase responses.

SEGMENTS COUNTS THROUGH 04/30/2025
886,222 TOTAL UNIVERSE / BASE RATE $95.00/M
 880,133 12 MONTH BUYERS     $95.00/M
  FUNDRAISER RATE     $70.00/M
  PUBLISHER RATE     $70.00/M
  SEASONAL FOOD RATE     $80.00/M
DESCRIPTION

This well known collection of catalogs includes Womenswear, Menswear, (including Irvine Park and Scandia Woods products) and Home. Since 1910 Blair has appealed to mature women and men who have purchased a wide variety of apparel and home products through direct mail. Blair is known for their quality merchandise, exceptional value and customer satisfaction.

 

TYPES OF MODELS:


GOOD CUSTOMER MATCH -

Mailer sends a 100,000 name sampling of their best customers to Blair's service bureau. The Good Customer Match combines everything known about each individual on a mailer's customer file to create a model that identifies more of those best customers on the Blair file. The Model is built using the mailer's best customers and utilizes the data available on the Blair database to create a custom regression model.

 

REGRESSION MODEL -

A full regression model requires mailing a quantity of Blair names that is significant enough to produce at least 1,000 net paid responses. The data elements of the names selected are saved at the time the order was selected. When the mailing is complete, the responses and net mailed names are returned to us to match against the gross order file. A custom regression model is created using the matched responses and non-responses.

 

When the model build is completed, a report with the Gains Table, Model variables, and Data Profile will be issued and sent to the broker/mailer. All models are created by Data Axle’s staff statistician.

 

Demographics:

Average Age: 60+

Home Owners: 82%

Percent of on-line buyers: 21.5%

ORDERING INSTRUCTIONS
POPULARITY: 99
MARKET: CONSUMER
CHANNELS: Mailing List  
SOURCE: BUYERS 
PRIVACY: UNKNOWN 
DMA?: NO
STATUS: STANDARD PROVIDER
GEO: USA 
GENDER: 80% FEMALE 13% MALE  
SELECTS
HOME OWNERS   
ON-LINE BUYERS   
SCORING FEE (MODELS)   $25.00/M
ADDRESSING
KEY CODING  NOT AVAILABLE
DELIVERY FEE  $75.00/F
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PAID ONLINE MARKET RESEARCH SURVEY CONTRIBUTORS