Zone of Tolerance Analysis asks respondents their “Desired Service Level” and “Adequate Service Level” for each attribute. A range—between what is ideal and adequate—is calculated for each attribute. It is commonly used in pharmaceutical research.
Multivariate Analysis
TURF Analysis is an acronym for “Total Unduplicated Reach and Frequency”, is a type of statistical analysis used for providing estimates of media or market potential and devising optimal ways how to use it given the limited resources.
Structural Equation Modeling (SEM) is a statistical technique for testing and estimating relationships using a combination of statistical data and qualitative causal assumptions. Among its strengths is the ability to model constructs as latent variables.
Regression Analysis is used for prediction for the affect of individual attributes on a depend variable, such as ‘Purchase Intent’ or ‘Overall Satisfaction’.
Quadrant Analysis is particularly useful to marketers when trying to determine how product categories, segments and individual SKUs are performing.
Maximum Difference Analysis shows a set of possible items and asks respondents to indicate the most and least appealing.
Derived vs. Stated Importance Analysis: A derived quadrant that shows the different between what customers say is important, and what they actions show is important.
Fair Share Analysis measures the magnitude of brand or product attributes.
Factor Analysis, a data reduction technique, groups arrays of attributes into families.
Discriminant Analysis is used in situations where you want to build a predictive model of group membership based on demographic or other data.
Canonical Analysis is used to asses the relationship between two sets of variables.
