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The measurement of preferences and willingness to pay are important topics for product and price optimization. Conjoint models in particular have established themselves as state-of-the-art approaches for deriving suitable forecasts and recommendations for product and pricing in the competitive environment. In this article, we show you the added value and the pitfalls that arise from the use of conjoint methods - and the possibilities offered by further developments of the classic CBC.
