The express industry appears strong growth trend with e-commerce rapid development and plays an increasing important role in the social and economic life, but it also faces many problems to be solved, and low customer satisfaction is one of them. Builds a structural equation model for investigating customer satisfaction of express industry with as latent variables of the express corporate image, service speed, service quality, service price and customer satisfaction. Applies AMOS software to analyze the survey data, and conducts multiple-group analysis on three groups of youth, middle-age and old-age customers. According to parameter estimation and path model diagram, selects the best model and obtains key factors of influencing customer satisfaction of express industry. Proposes appropriate improving strategies, and provides some suggestions for the express industry to improve the service quality and customer satisfaction.