Make or Break: A Simple Non-Compensatory Customer Satisfaction Model

Abstract

We propose a model that allows analysts to capture and quantify realistic nonlinear, non-compensatory effects in customer satisfaction modelling. For too long, academic and applied marketing researchers have relied upon restrictive linear, compensatory statistical models to inform their understanding of how performance on product and service attributes impacts overall satisfaction, loyalty, etc. An extended case study and a summary of 22 further empirical studies illustrate the utility and robustness of the proposed Make or Break model of customer satisfaction.