Services

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Our clustering techniques fuse behaviors, attitudes and demographics to identify robust segments that differ in value, are easy to visualize and are findable. Our methodology addresses problems with off-the-shelf cluster algorithms resulting in more stable and reliable solutions.

Take scale use out of the equation for finding the importance of attributes, the appeal of messages or the association of characteristics to brands. MaxDiff offers a respondent-friendly and analytically superior approach to studying consumer perceptions.

Find the optimal product configuration, test the impact of price changes on demand, test product performance in a competitive setting and use our interactive models to game different scenarios.

Combine TURF analysis with MaxDiff (or use traditional rating scales) to find the optimal combination of messages that will reach the largest possible audience and have the greatest influence on consumer behavior.

Use predictive modeling to identify key drivers of consumer behavior in a category. We offer a range of approaches depending on the complexity of the business question at hand:

- Correlation Analysis.  Simple, easy to understand and relatively easy to explain.  

- Regression Analysis.  When complex multivariate analyses is required.

- Structural Equation Modeling (SEM).  For use when there are complex latent variables and highly correlated predictive variables.

We've had great success in assisting our clients in developing proprietary data analysis methodologies, giving them a competitive business development advantage. We would love to help you develop something new or improve your methodologies to gain a competitive edge.