Market Segmentation, an Example
Owners of a new Las Vegas resort needed direction for
development of their marketing plans/strategies. The result is a "profile" of
the most probable user. Additionally, to help understand how the resort's location can
affect visitation.
Discriminant Analysis: The goal of discriminant
analysis is to classify cases into one of several mutually exclusive groups based on their
values for a set of predictor variables. In the analysis phase, a classification rule is
developed using cases for which group membership is known. In the classification phase,
the rule is used to classify cases for which group membership is not known. This analysis
is applied to identify and explain two visitation segments, those that are somewhat to
very likely to visit the resort versus those who are unlikely.
CHAID: CHi-square
Automated Interaction
Detector is a tree-based classification system
that aids in segmentation research and exploratory data analysis. It is used here to
identify homogeneous segments that include most likely visitors to the planned resort
applying the results from the discriminant classification model.
Factor Analysis: Factor Analysis is concerned with the study of interrelationships among a set of variables, none of which is given the special status of a criterion variable. The methodology is used to identify viable groupings. It is a statistical technique that provides for data reduction and subsequent interpretation. The result is to identify a small set of variables that can be used to represent interrelationships among many variables.
From the above analyses, several outcomes provide both an analytical [market segments and key drivers of visitation] and pictorial [perceptual maps] resource for informed decision making.