Precision Marketing and Brand Communication Model Using Particle Swarm Optimization Algorithm

Abstract

In order to deeply study the macroenvironment, current situation, and the core elements affecting the operation of the product brand system, this paper further improves the product brand communication system from the perspective of precision marketing. Taking JR company’s big cake products as the research object, this study proposes an accurate positioning optimization algorithm based on particle swarm optimization algorithm. Through the experiment of increasing the number of nodes of different algorithms, it is found that the average positioning error will decrease with the increase of the number of nodes under different algorithms. Compared with WSSPCO positioning algorithm, the average error of PSO positioning algorithm is reduced by about 30% due to the number of nodes, and the impact of node density on positioning accuracy is also reduced by about 40%. This algorithm can better achieve accurate positioning. Therefore, it is concluded that product brand communication based on precision marketing should pay attention to accurate positioning, further integrate brand communication channels, and build personalized communication channels.