Analysis of Network Marketing Performance Evaluation System Based on BP Neural Network Clustering Algorithm

With the rapid development of Internet technology, corporate marketing has become an essential way for the survival of companies in the market. Improving corporate marketing and providing support for companies effectively is extremely important. In response to these needs, this paper attempts to introduce the BP neural network clustering algorithm, through the construction of a three-layer index system for enterprise network marketing, to clarify the specific set of enterprise network marketing indexes; on this basis, through the BP neural network clustering method, enterprise network marketing is carried out. Comprehensive multi-level fuzzy evaluation of performance. Finally, the actual enterprise network marketing evaluation is conducted according to the specific calculation of index calculation. The results of the simulation experiment show that 0.435 of estimated vale, 0.096 of standard deviation, and 4.545 of Z-value of the BP neural network clustering algorithm is effective and can support enterprise network marketing performance evaluation and analysis.