Conjoint topics from Handbook of Marketing Analytics: Methods and Applications

We discuss conjoint-related chapters from Handbook of Marketing Analytics.  It features contributions from leading scholars and industry experts, covering topics from experimental design and conjoint analysis to time-series modeling and machine learning. The text examines these methodologies in various contexts, including public policy, litigation support, and understanding consumer behavior. Furthermore, it discusses advanced techniques like Bayesian econometrics, structural modeling, and optimization for marketing decisions. Ultimately, the handbook serves as a guide to leveraging sophisticated analytical tools for informed marketing strategy and impactful insights.