Multidimensional scaling (MDS) is a technique used to visualize the similarity or dissimilarity of observations in a geometric space. It can be applied to image measurement, market segmentation, new product development, advertising effectiveness, pricing analysis, channel decisions, and attitude scale construction. MDS involves collecting similarity judgments or preference rankings between items and representing them as points in a multidimensional space. The stress value indicates how well the points fit in the space, with lower values indicating a better fit. The spatial map can be interpreted to understand competition between brands and identify opportunities.