This chapter presents a framework for targeted marketing using the outranking approach inspired by multicriteria decision analysis (MCDA). The framework aims to identify and evaluate the best matches between customer groups and products, focusing on transaction data and customer-product profiles. The primary goal is to prioritize products or groups of products for specific customer groups or vice versa by applying fuzzy outranking relations to model customer preferences. The chapter outlines two marketing strategies: product-oriented, which ranks customers based on their preferences for a product, and customer-oriented, which ranks products based on the preferences of a customer or customer group. This methodology overcomes the limitations of traditional models by addressing the complexity of aggregating various criteria. Four sub-models are proposed to construct fuzzy outranking relations.