 |
Easy to use commercial software has made powerful statistical analysis methods available to anyone who can point and click. But generating statistics is not the same as understanding them.
RSG has over 30 years of experience developing new statistical methods and applying statistical analyses in ways that create market intelligence. We are pioneers in the design of methods that determine how consumers make choices among competing products. And, we add value with clear, concise explanations that quickly point you to the best business strategies.
We have been pioneers in the design of methods to determine how consumers make choices among competing products:
|
• |
Discrete choice conjoint to estimate the value that consumers assign to features when choosing among new competing products
|
|
• |
Adaptive/hybrid conjoint to determine the values of many secondary features that may not be direct purchase drivers
|
|
• |
Revealed preference modeling to estimate the value that consumers assign to features when choosing among existing products
|
|
• |
Special analysis methods to determine obstacles to new products and inertia in current products
|
|
• |
Nested logit and mixed logit models to more reliably estimate cannibalization/interproduct competition
|
|
• |
Hierarchical Bayes and other methods to estimate individual preference drivers and identify needs-based market segments
|
To support this work, we use both our own tabulation and statistical modeling software as well as standard statistical packages.
|
• |
RSG's xTabs tabulation software was developed to address the needs of production-oriented research in ways not supported by commercial packages. It includes a client-side viewing module to provide convenient access to the analysis.
|
|
• |
RSG's xStats statistical design and modeling software supports advanced discrete choice modeling applications.
|
|
|
|
|
