Conjoint Analysis: Methods, Applications, and Recent Developments
from Best AI papers explained Hosted by Enoch H. Kang
Conjoint analysis, a significant marketing research technique, helps understand how customers make choices by evaluating trade-offs between product or service attributes like features and price. This method, widely used since 1971, aids in decisions such as product design, pricing, and market segmentation by quantifying the value consumers place on different attribute levels. Various types of conjoint analysis exist, including ratings-based, choice-based, adaptive, and self-explicated methods, each employing different data collection and analysis techniques to determine these part-worth utilities. The process involves developing product profiles or choice sets, collecting responses, estimating part-worth functions, and then applying these insights for managerial problem-solving through market simulators and forecasting
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