SEGMENTS

DEMOGRAPHICS/PROFILE

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%

SOURCE

• Buyers

NET NAME PRICING

PROFILE

Home Owners    Home Owners 82 On-line buyers    On-line buyers 21