Introduction
The Market simulator (also known as the choice simulator) is often considered the most crucial decision-making tool in a conjoint project. It transforms conjoint utilities into actionable insights by simulating market choices between different product alternatives.
By introducing products defined by the attributes and levels in your study, the simulator generates projections of the percentage of respondents likely to choose each product (or choose "None," if the None option was included in your questionnaire). The market simulator allows researchers to conduct "what-if" analyses, exploring scenarios such as new product design, product positioning, and pricing strategy.
Think of the simulator as a "voting machine." After estimating the utility scores from your CBC exercise, you can simulate how your market might "vote" for each of the products you configure in the software. The results, or "shares of preference," represent the percentage of respondents likely to choose each product, and the total shares will always sum to 100%.
A warning about interpreting the output of market simulators
Under favorable conditions (such as mature markets with equal information and distribution), market simulators often report results that closely match long-range equilibrium market shares. However, conjoint analysis cannot account for many real-world factors that shape market shares, such as differences in the length of time on the market, distribution, out-of-stock conditions, advertising, sales force effectiveness, and awareness. Conjoint analysis predictions also assume that all relevant attributes influencing share have been measured.
Therefore, the share of preference predictions should generally not be interpreted as market shares. Instead, they should be seen as relative indications of preference, reflecting how respondents might rank products based on the attributes and levels included in the study.