SEGMENTS

DEMOGRAPHICS/PROFILE

DESCRIPTION

Deploy your next campaign with confidence knowing that the individuals on your marketing file are those most likely to respond.

The LiftBase Consumer Modeling Masterfile is available for the purpose of statistical modeling in order to improve response on marginal segments and open a new universe of names for top mailers.

Harness the combined power of catalog cooperative names enriched with the best and largest collection of multi-sourced demographic, psychographic, and ethnic data. Along with multiple premier enhancement sources unique to the LiftBase Masterfile, these top tier responders are available to catalog and non-catalog mailers alike!

LiftBase offers two types of models: Good Customer Match Models and Mailed Match Models.

Good Customer Match Models
A Good Customer Match model is used to identify prospects who bear semblance to the demographics and buying characteristics of your current customers. The model first learns about unique characteristics shared between your customers to create a profile. This profile is then applied to new data sets, and individuals are selected based on how closely they resemble it.

Mailed Match Models
For a Mailed Match Model, the mailer forwards a copy of their net name mail file from an entire campaign, flagging the responders. Our modeling team will then match the mail file to our universe, selected for modeling, to overlay the mail file with our comprehensive demographic, lifestyle and buying characteristics

Demographic Profile:
Average Age 53
Average Income $62,376

SOURCE

• Catalog Buyers & Survey Data
• Compiled lists

NET NAME PRICING