Generative AI in the Marketing Industry: An Industry Analysis of Content Transformation, Consumer Engagement, and Firm Performance

Abstract

Purpose: This study aims to analyze the impact of Generative Artificial Intelligence (GenAI) on the marketing industry with a focus on content transformation, consumer engagement, and firm performance. The research examines how GenAI is reshaping traditional marketing practices through automation, personalization, and integration with Marketing Technology (MarTech) systems. It also seeks to understand the opportunities, strategic implications, and challenges associated with the adoption of AI-driven marketing technologies.

Methodology: The study adopts an exploratory and analytical research approach based on secondary data collected from peer-reviewed journals, academic publications, industry reports, and digital sources. Various analytical frameworks such as SWOC (Strengths, Weaknesses, Opportunities, Challenges), ABCD (Advantages, Benefits, Constraints, Disadvantages), and PESTEL (Political, Economic, Social, Technological, Environmental, Legal) analyses are used to evaluate the internal and external factors influencing the adoption of Generative AI in marketing. The study also incorporates stakeholder perspectives to understand the impact of GenAI on businesses, consumers, policymakers, and investors.

Results & Analysis: The findings indicate that Generative AI significantly improves content creation, marketing automation, personalization, customer interaction, and operational efficiency. AI-driven tools enable businesses to generate scalable and data-driven marketing strategies that enhance customer engagement and improve return on marketing investment. The SWOC and ABCD analyses highlight major advantages such as efficiency, innovation, personalization, and competitive advantage, while also identifying challenges including ethical concerns, algorithmic bias, cybersecurity risks, and data privacy issues. The PESTEL analysis further emphasizes the role of political, economic, social, technological, environmental, and legal factors in shaping the future of AI-driven marketing practices.

Originality: This study provides a comprehensive and integrated analysis of Generative AI in the marketing industry by combining multiple strategic frameworks with stakeholder perspectives. Unlike traditional studies focusing only on AI adoption, this research connects technological transformation, consumer engagement, firm performance, ethical considerations, and strategic implications within a single analytical framework.

Value: The study offers practical insights for marketers, businesses, policymakers, investors, and consumers regarding the effective adoption and management of Generative AI technologies in marketing. It helps organizations understand emerging opportunities, improve operational efficiency, strengthen customer engagement, and address ethical and regulatory concerns. The research also contributes to academic literature and supports future strategic planning and policy development in AI-driven marketing.

Type of Paper: Applied Research / Analytical Research Paper