Marketing Research Based on Convolutional Neural Algorithm

Marketing is one of the key elements of enterprise success, and convolutional neural networks (CNNS), as an outstanding representative in the field of deep learning, have shown strong performance in various fields. This study aims to explore how convolutional neural networks and related deep learning techniques can be used to improve marketing strategies and decision making. First, we introduced the basic concepts of marketing and deep learning, and explored the connection between them. We then discuss in detail the fundamentals of convolutional neural networks and how they can be applied in the field of marketing. We describe the potential applications of CNN in market analysis, consumer behavior prediction, and product promotion. We then review relevant research to understand real-world use cases of convolutional neural networks in marketing and analyze the success factors and challenges of these cases. We also discuss data privacy and ethical issues that are becoming increasingly important in the application of deep learning in marketing research.