Response Models ?by using your response file from a prior mail campaign we will
determine the response attributes that are exclusive to your business and use those
factors to predict future responders allowing you to gain more customers and save
money not marketing to low potential customers.
Regression Models - a statistical technique used to find relationships between
variables for the purpose of predicting future values for upcoming campaigns.
Customer Base Models - current customers are scored on their transactional activity.
The scores represent the likelihood of each customer to respond to your marketing offers
and remain a customer, allowing you to rank your customers by their potential value. Knowing
your potential value allows you to gain more customers like your top responders.
Inquiry Models - creation of an inquiry model can be used to reduce the risk of mailing
to low potential customers while still being able to create a strategy to turn an inquiry into
a customer. There is a tremendous amount of fundamental information an inquiry model can provide
like how to profit from middle potential customers
Look-a-like or Mirror Models - these models are created to give a mailer a basic understanding
of what the profile or makeup of their customer looks like. Itís an inexpensive way to a have an
understanding of where your marketing efforts should be focused towards.