Analytical Tools and Techniques
Our core strength is the intelligent use of analytical tools and techniques. Our key deliverable to you is a well-founded recommendation on what marketing action to take, and this often requires intense, and sometimes very sophisticated, analysis. However, we pride ourselves on being very decision-oriented and practical, and strive to avoid taking an overly academic approach to analysis, or waste time and resources on the latest “fad” technique. We apply the best analytical technique for the job based on what best serves our clients, not what might be considered “in” or “fun.”
Below is a partial listing of the types of analytical tools in our bag:
Predictive/Diagnostic Modeling
– Regression Analysis
– Discriminant Analysis
– Tree-based Models (CHAID, CART, QUEST, etc.)
– Path/Causal Modeling (PLS)
– Logistic Regression
Choice Modeling
– Conjoint Modeling (Traditional, Adaptive, Bayesian)
– Discrete Choice Modeling (Logit, Bayesian)
– Build-Your-Own Product Configurators
Data Structure Analysis
– Cluster Analysis
– Correspondence Analysis
– Factor Analysis
– Latent Class Structure
– Multidimensional Scaling and Perceptual Mapping
– MaxDiff Scaling
Special Purpose Analytical Tools
– Penalty/Reward Modeling
– Price/Demand Curve Fitting
– TURF and Product Line Analysis
– Shapley Value Analysis
GRP PROTOCOLS
– VALOR – Value Optimization Research
– PriceSet – Setting Prices From Your Customers’ POV
– PowerLine – Price Optimization Beyond TURF
– EMOTIVE – Emotional Collaging
– DriveScore – Potential Rewards/ Penalties of Changing Perceptions
– Crisol – Improved Approach to Hispanic Acculturation
To learn more, please contact:
Ray Barber
972.989.0342
ray.barber@globalresearchpartners.com