9 Things Clients Get Wrong about Conjoint Analysis

نویسنده

  • Chris Chapman
چکیده

This paper reflects on observations from over 100 conjoint analysis projects across the industry and multiple companies that I have observed, conducted, or informed. I suggest that clients often misunderstand the results of conjoint analysis (CA) and that the many successes of CA may have created unrealistic expectations about what it can deliver in a single study. I describe some common points of misunderstanding about preference share, feature assessment, average utilities, and pricing. Then I suggest how we might make better use of distribution information from hierarchical Bayes (HB) estimation and how we might use multiple samples and studies to inform client needs.

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تاریخ انتشار 2013