Conjoint analysis is a method that is commonly used to optimise the configuration and pricing of products/services in a competitive environment. We typically want to understand the optimum “product” price, but often it is important to understand how much consumers are willing to pay for individual features of that product. This paper will compare three Willingness to Pay methods using empirical data sets to get a better understanding of the pros and cons of each method.