Neural Network Algorithms in Network Marketing Target Recognition and Prediction

In today’s digital age, online marketing has become an important way for enterprises to promote and sell products. With the rapid development of the Internet, a large amount of online marketing data has been generated. Most of these data have not been screened, and based on this, companies hope to more accurately identify potential customers and predict their behavior in order to achieve personalized marketing promotion and improve marketing effectiveness. Neural network algorithms are widely used in network marketing target recognition and prediction. This article finds that the Artificial Neural Network (ANN) model performs best when selecting target points ranging from 20% to 30%. Finally, this article presents a prototype design of a network marketing target system based on neural network algorithms, providing important theoretical and practical foundations for further identification and prediction of network marketing targets, which can provide strong support for practical marketing applications.