When investigating the factors of purchasing decision-making, the respondents judged the importance of each factor. The following table is the sample statistics of the judgment results of the respondents. When analyzing statistical data, the weight of “very important†is 1, the weight of “important†is 0.6, and the weight of “not important†is 0. The number of samples is multiplied by the corresponding weight, and each factor is purchased at the user. The normalized result of the importance of the control system, which also reflects the objectivity of the tool survey results. The importance of each influencing factor is represented by a pie chart. 
The results of this survey show that the importance of cutting efficiency in purchasing decisions ranks first, affecting 25% of purchase decisions, followed by tool life, with an impact of 22%. We know that “three high and one special†is the basic feature of advanced cutting technology. Modern tool enterprises are to provide the most efficient props for the manufacturing industry. User companies also recognize that it is more advantageous to reduce labor costs by using high-efficiency tools to increase labor efficiency. Therefore, in the field of modern tool manufacturing and use, “efficiency priority†has replaced the old concept of “performance price ratioâ€. Comparing the two user surveys, the results of the first user survey are “first price after serviceâ€. The result of this survey is “first service priceâ€, which shows the change of the concept of tool user purchase. Moreover, this survey listed cutting efficiency as a purchase factor, and the survey results showed that the degree of influence on decision-making was the most important, and also had distinctive characteristics of the times.
Survey results of decision factors affecting users' purchase of tools announced
Users will consider many factors when purchasing tools, and make decisions based on factors such as product quality, brand, price, timely delivery, after-sales service level, and the quality of sales personnel. According to the tool survey results, 97% of the users chose cutting efficiency as the influencing factor of the tool purchase decision, and 94% of the users chose the tool life as the influencing factor of the purchase decision. It can be seen that the user regards "cutting efficiency" and "tool life" as the factors. The indicator of tool quality. 80% of users will consider the price factor, 57% of users consider the service level, coverage is higher than the brand, delivery period and sales staff quality.