Neural network prediction model of digital marketing under the green development mode of enterprises

Abstract

This paper addresses the challenge of how enterprises can achieve optimal economic benefits under the green development model. To tackle this, the study introduces an innovative digital marketing prediction model based on neural networks, specifically utilizing convolutional neural networks (CNNs) to forecast the outcomes of digital marketing strategies within the context of green development. The model integrates linear regression techniques to predict the economic impact of digital marketing efforts on enterprise performance. By incorporating green development principles into the neural network framework, the research explores how sustainability-focused strategies can enhance both marketing effectiveness and profitability. Experimental results demonstrate that the proposed model increases enterprise sales performance by 27.8%, highlighting the substantial economic benefits of combining digital marketing with green development strategies. This paper contributes a novel approach to integrating AI-driven marketing prediction with sustainable business practices, offering valuable insights into the intersection of digital innovation and green growth.