Mining for Creative Ideas
Use your database for more than list and offer development
December 2006 By Alan WeberData analysis typically is targeted around one goal: selecting the “best” names, the names that will bring the highest response. Different audience segments may be selected, but in the end, a name either is selected or it’s not.
The challenge is left for the creative specialists to fit the right creative message to the right offer that fits each segment of these best names.
Simply put, if the people creating messages and offers don’t clearly understand what each segment is, why it’s unique and what sort of behaviors are most likely for each, it will be very difficult for them to appropriately fit messages to each segment.
Data analysis should support all three aspects of a direct marketing piece: list, offer and creative. Maximizing these synergies can increase ROI, but first the analyst’s goals have to change to supporting all aspects of a direct marketing offer, not just tracking and list selection.
A Behavioral Database
While we often think of a database as a record of transactions, it is actually a record of customer behavior, and as such can provide critical marketing insights. While in a technical sense the database is built to track information, the real purpose is to understand the behaviors being tracked. Any list selections, messages and offers then are based on that understanding.
The behavioral database perspective is especially powerful when used to explicate a new marketing model pioneered by Dr. Neale Martin, founder and president of Atlanta-based Ntelec Inc. His model explains why customer behavior often conflicts with customer attitude, especially the weak link between customer satisfaction and repurchase. Recent research in the fields of neurobiology and cognitive science reveal that the mind divides up tasks between the conscious and unconscious mind. The unconscious mind is responsible for up to 95 percent of our actions. This means the database is a more reliable tool to understand customer behavior than surveys or focus groups.
For example, a marketing database would track the RFM of each customer. It is a near certainty that the more recent, more frequent buyers will outperform older, less frequent buyers. But a lot of predictive information still is left out.

The Business of Database Marketing
All About Email Creative
The Secrets of Emotional, Hot-Button COPYWRITING