Choice Models
Fit Models for Choice Experiments
Use the Choice platform to analyze the results of choice experiments conducted in the course of market research. Choice experiments are used to help discover which product or service attributes your potential customers prefer. You can use this information to design products or services that have the attributes that your customers most desire.
The Choice platform enables you to do the following:
• Use information about subject (customer) traits as well as product attributes.
• Analyze choice experiments where respondents were allowed to select “none of these”.
• Integrate data from one, two, or three sources.
• Use the integrated profiler to understand, visualize, and optimize the response (utility) surface.
• Obtain subject-level scores for segmenting or clustering your data.
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Estimate subject-specific coefficients using a Bayesian approach.
• Use bias-corrected maximum likelihood estimators (Firth 1993).
Figure 4.1 Choice Platform Utility Profiler
