Analytic Approaches

Answers to challenging marketing and planning questions are provided with the comprehensive analysis of information gathered. Beyond assessing the raw data responses and opinions provided by carefully selected respondents, Gilmore’s professional staff uses statistical tools to reach a complete and optimal understanding of study results. These tools amplify the insights that are available to clients and often reveal relationships in the data that are key to developing effective action plans. Some of the most commonly used statistical tools are the following.

Analysis of Variance Chi-square Cluster Analysis Conjoint Analysis Discriminant Analysis Factor Analysis Multi-dimensional Scaling Multiple Regression Analysis Quadrant Analysis Segmentation (Attitudinal / Lifestyle / Product Benefit) Structural Equation Modeling Z Tests / T Tests