Research on the Application of Machine Learning Algorithms in Marketing Data Analysis under the Background of Artificial Intelligence

In the digital age, the marketing industry is undergoing profound changes. With the rapid development of Internet technology, consumers' behavioral patterns and shopping habits have undergone tremendous changes. They make decisions based on a vast amount of information, which makes it difficult for traditional marketing methods to precisely reach target customers. Machine learning algorithms, as an important branch in the field of artificial intelligence, possess powerful capabilities in data processing and analysis. It can automatically learn patterns and rules from a large amount of data, thereby achieving the prediction and classification of unknown data. In marketing data analysis, machine learning algorithms can help enterprises discover the potential demands of consumers, accurately identify target customer groups, optimize marketing strategies, and enhance marketing effectiveness and return on investment. This study aims to deeply analyze the application of machine learning algorithms in marketing data analysis and compare the performance and applicable scenarios of different algorithms. Through the analysis of actual cases and empirical research on data, the advantages and potential of machine learning algorithms in improving marketing effectiveness are revealed, providing theoretical support and practical guidance for enterprises to rationally select and apply machine learning algorithms in marketing decisions.