Research on the Mechanism and Governance Path of Gen AI Content Marketing in Reducing Customer Acquisition Costs and Enhancing Customer Retention Performance

Abstract

Generative Artificial Intelligence (Gen AI) is Changing How Companies Produce, Distribute and Use Customer Relationship Content for Content Marketing. Based on nearly three years of English-language research and publicly available industry statistics, this paper will study the relationship between customer acquisition cost and the performance of customer retention. Research on How Artificial Intelligence(AI) can help create personalised marketing materials and manage customer communication. Based on the above research results, Gen AI can reduce the cost of high-quality content production, increase the efficiency of the lead-to-conversion path, and strengthen all links in a company's customer journey. If we do not conduct fact-checking and brand consistency management to ensure the compliance constraints of data, low-cost content expansion will also lead to a loss of trust, false promises and reduced retention. The paper also puts forward several strategies: an integrated cost-conversion-retention evaluation system, human-machine collaborative review, incremental experiment identification, and an auditable governance matrix, and provides guidance for businesses to turn Gen AI into a customer asset management capability rather than just a content tool.