The Choice-based conjoint analysis (CBC) (also known as discrete-choice conjoint analysis) is the most common form of
conjoint analysis. Choice-based conjoint requires the respondent to choose their most preferred full-profile concept. This
choice is made repeatedly from sets of 3–5 full profile concepts. This choice activity is thought to simulate an actual buying
situation, thereby mimicking actual shopping behavior.
The importance and preference for the attribute features and levels can be mathematically deduced from the trade-offs
made when selecting one (or none) of the available choices.
Choice-based conjoint designs are contingent on the number of features and levels. Often, that number is large and an
experimental design is implemented to avoid respondent fatigue. Qualtrics provides extreme flexibility in utilizing experimental
designs within the conjoint survey.
The output of a Choice-based conjoint analysis provides excellent estimates of the importance of the features, especially
in regards to pricing. Results can estimate the value of each level and the combinations that make-up optimal products.
Simulators report the preference and value of a selected package and the expected choice share (surrogate for market
share).