This article was conducted with the aim of investigating the sales strategies of industrial goods of oil refinery on sales performance. The research method was applied in terms of purpose and in terms of the method of collecting information, it was a mixed research (qualitative-quantitative). The statistical population in the qualitative part included professors, experts in the field of marketing and sales, and senior managers of Shazand Oil Refinery, who were selected using purposive sampling to a number of 10 people. And in the quantitative part of the research, all employees and managers of the marketing and sales, finance, and commercial departments of Shazand Refinery were selected as subjects using the stratified random sampling method. The data collection tool was interviews in the qualitative part and a researcher-made questionnaire in the quantitative part. The validity of the questionnaire in terms of form and content was confirmed by several experts, convergent validity was confirmed by calculating the mean of the extracted variance, and divergent validity was confirmed by calculating the AVE root. The reliability of the questionnaire was obtained through Cronbach's alpha for the entire questionnaire as 0.968 Cronbach's alpha, Kolmogorov-Smirnov tests and confirmatory factor analysis were used to analyze the data. The results showed that the oil refinery's industrial goods sales strategies included customer valuation, sales management, sales process/stages, use of multiple sales channels, customer prioritization and targeting, development of a management plan, communication goals and sales models and customer segmentation, which had a positive and significant effect on the oil refinery's industrial goods sales performance. The model fit was also examined.