Simulation Research on Network Marketing Effectiveness Model Based on Constraint Clustering Algorithm

At present, the decision-making body of supporting logistics in China’s network marketing is mainly manufacturers, and consumers have not really participated in the logistics decision-making of network marketing, while the logistics decision-making in other fields has realized the transformation of market regulation mechanism. Network marketing mode based on network technology has gradually become an important way for enterprises to carry out marketing; And the evaluation of network marketing performance has become an important topic in this field. Through NetLogo software, four groups of simulation experiments, including 44 sub-experiments, were conducted to study the influence of seven factors, such as market size, infection rate, direct immunization rate, recovery rate, survival time of information, self-isolation rate and the number of competitors, on the effectiveness of social network marketing. This paper introduces the application of data mining technology in network marketing. By using some main methods in the process of data mining, it analyzes the log files that customers visit in the website, the database on the Web server and other data, and finds out the rules, so as to understand customers’ interests and hobbies, which is conducive to better adjusting the structure of the site, enabling businesses to know the required market information, and developing the potential of customer resources.