What is the PRIMARY objective of conducting conjoint analysis in fashion product development?

The PRIMARY objective of conducting conjoint analysis in fashion product development is to determine the relative importance of different product attributes to consumers and to understand how consumers value different combinations of those attributes. Conjoint analysis is a statistical technique used to measure consumer preferences for different product features or benefits. In the context of fashion, these attributes could include price, material, color, style, brand, and features. Consumers are presented with a series of hypothetical product profiles that vary in terms of these attributes, and they are asked to rate or rank their preferences for each profile. For example, consumers might be asked to choose between a dress made of cotton that costs $100, a dress made of silk that costs $200, and a dress made of polyester that costs $50. By analyzing these preferences, conjoint analysis can determine how much importance consumers place on each attribute (e.g., price, material) and how they value different combinations of attributes (e.g., are they willing to pay more for silk?). This information can then be used to design products that are more closely aligned with consumer preferences, optimize pricing strategies, and forecast market demand for new products. While conjoint analysis can also be used for segmentation and positioning, the primary goal is to understand consumer preferences and optimize product design.