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The analysis of the evolution of satisfaction in business context is usually based on  pseudo panels studies, because they are less costly and easy to build with the available data. As in the cross-section case, detailed information about customers are collected at each time point, but the dynamic comparison generally involves few temporal lags (due to short life time of products and services). Accordingly, in our paper we apply the Dual Multiple Factor Analysis. Such a technique  allows the synthesis of the multivariate tables and their visualization on a common space that sheds light on customers' trajectories of satisfaction. A real case study of an Italian bank is illustrated.