In this paper a method for handling individual differences in conjoint analysis is described and discussed. This method is a combination of ANOVA and PCA/PLS both of which are well-known techniques that can be run in almost all statistical software packages. Main attention will be given to the way individual differences in acceptance pattern are interpreted and related to consumer characteristics such as demographics, attitudes and habits. The approach is then illustrated using two data-sets from consumer studies of yoghurt and apple juice. © 2010 Elsevier Ltd.