Customer profiling, segmentation analysis, and predictive modeling can be done using data from
marketing research. The database, however, provides a richer, constantly expanding source of
data for these activities. It also comes much closer to providing data on all customers, not just a
One-to-one marketing is a clear benefit from having (and using effectively) a customer database.
It is not, however, the ultimate benefit of the customer database. In the end, its best and most
The alert student will recognize that a program like Harrah’s can quickly collect a large amount
of data. The volume of data quickly exceeds the capacity of conventional marketing research
analytics; hence, the need for data mining.
Data mining refers loosely to the set of tools that can be used to extract meaning from large data
sets. It includes some of the tools that students are familiar with, at a conceptual level at least,
like regression. It also includes some that are available in the major commercial statistical
packages like AID and CHAID. It may require the use of tools of which students are only
The Hierarchy of Interactive Strategies
The hierarchy in Figure 4.13 is based on the theory that “you must walk before you can run,” but
it is not deterministic. Information-driven marketing is a major undertaking and it is wise to
implement it a module at a time. Data → Information as implied in the bottom layer is a
required foundation for all information-driven programs. Beyond that steps should be selected
and implemented based on the needs and objectives of the enterprise. However, the progression
suggested, Information → Interaction → Transaction → Personalization → Customization,
makes sense in terms of increasing intensity in the requirements for data, analytics, marketing