Predicting Purchase Power: AI-Enhanced Financial Data Analytics for Personalized Marketing

Abstract

The trend of artificial intelligence (AI) and financial data analytics integration is transforming the individual marketing field where predicting the purchasing power of consumers could be made more accurate. The research article, Predicting Purchase Power: AI-Enhanced Financial Data Analytics: Personalized Marketing, tells about the possibility to predict the purchasing power of the consumer and, with the help of this knowledge, use it to optimize the marketing campaigns. The authors of this research study discuss the possibilities of integrating machine learning models with big data analytics and behavioral finance to come up with adaptive marketing systems that can be used to provide personalized marketing in real time. With the assistance of the different financial numbers, like the expenditure history, transactions, and credit history among others, AI systems can identify some of the latent patterns that are often overlooked by the classical methods. This paper also examines the predictive algorithms such as the neural networks and the ensemble learning and how they can be used to improve predictive accuracy of purchase power leading to the evidence based decision making in marketing campaign. Not only are the precision of targeting increased in such models, but the customer response rates, loyalty as well as the conversion rates all escalate. However, such ethical and privacy concerns as the processing of personal financial data are also presented in the research in terms of the importance of disclosure, the safety of information, and professional conduct of the algorithms. The available empirical data suggest that AI-driven financial analytics would help marketers get a deeper understanding of the consumer segmentation and purchasing power to address individual offers based on the existing financial capacity of customers. At the end of the paper, the advent of AI and financial data analytics to a marketing intelligence discipline is a paradigm shift that will resolve the gap between the intent and financial capacity of the consumer. The presence of this synergy opens the way to a new era of responsible, predictive and personalized marketing strategies through intelligent data system assistance.