Evaluation of Enterprise Network Marketing Performance Based on Improved BP Neural Network

Abstract

In the Internet age, many online marketing companies have appeared on the market, and most of the companies that used to do business have also developed their own online influence channels. Therefore, the success of online marketing is linked to the economic benefits of the company. In this case, companies naturally want to ensure their own economic output capacity for network marketing, and need to perform performance evaluation on network impact. At this time, many companies have introduced BP neural network for evaluation. However, the traditional BP neural network has the problems of local smallness and slow convergence speed in the evaluation, and it is difficult to guarantee the quality and efficiency of the evaluation. Therefore, this article will propose an improved method of the traditional BP neural network and use the improved BP neural network to the performance evaluation of enterprise network marketing.