Most companies set prices by looking at history, or even key competitors, and hope for the best. But a price that is set too low leaves revenue behind, while a price set too high risks rejection and share loss. This article shows how blending qualitative insights with quantitative tools reveals the attributes that can justify a premium, reduce resistance, and keep pricing decisions grounded in customer reality. […]
This article demystifies conjoint analysis for qualitative researchers, showing how it enhances the work they already do by turning exploratory insights into structured, predictive decision models. It explains how qualitative research uncovers the “what” and “why,” while conjoint reveals the “how much” behind consumer preferences—crucial for product development, pricing, positioning, and segmentation. With a clear explanation of terminology, case studies, and caveats, the article equips qualitative professionals to confidently recommend or collaborate on conjoint projects. Whether you’re curious about how to prioritize product features or simulate market scenarios, this is a must-read primer. It’s part of QRCA VIEWS’ ongoing series that helps quallies better understand complex quant methods. […]
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