AI-Driven Trends and Technologies in Digital Marketing: Shaping Modern Strategies

Preeti Jain and Neetu Chaudhary

Chapter 5 in AI-Driven Revolution:Transforming the Business Landscape, 2025, pp 81-101 from World Scientific Publishing Co. Pte. Ltd.

Abstract: Current trends in digital marketing are rapidly evolving, driven by technological advancements and changing consumer behaviors. Interactive websites now engage users more effectively, enhancing user experience. Artificial Intelligence (AI) and machine learning, such as long short-term memory neural networks, predict purchase behavior, enabling real-time, targeted customer interactions. Augmented reality (AR) features, like “3D Try-On,” enhance shopping experiences and drive engagement. Real-time bidding (RTB) platforms optimize ad placements by leveraging user demographics and online behavior. Content marketing remains crucial, focusing on creating valuable content to attract and retain audiences. Social media marketing, search engine marketing, email marketing, influencer marketing, and visual search are prominent trends offering unique ways to engage consumers. Chatbots improve customer service with instant responses. These trends significantly impact consumer buying behavior by enhancing the shopping experience and influencing purchase decisions through personalized and interactive engagements. Adopting emerging technologies requires a strategic approach, leveraging data analytics, and continuous adaptation. Companies must integrate their online presence across various platforms, invest in predictive analytics, and ensure cybersecurity. Understanding digital trends is essential for maintaining competitiveness. Continuous learning and adaptation are crucial for updating digital marketing strategies, ensuring customer satisfaction, and driving business growth. This chapter explores how these trends and technologies shape modern marketing strategies.

Keywords: Artificial Intelligence; Data Analytics; AI; Digital Landscape; Organizational Strategies; AI Technologies; Machine Learning; Natural Language Processing; Robotics; Digital Transformation; Business Models; Efficiency; Value Propositions; Advanced Analytics; Predictive Modelling; Customer Experiences; AI-driven; Ethical AI; Data Privacy; Algorithmic Bias; Regulation Compliance; Responsible AI; Sustainable AI; Practical Applications; Business Innovation; Emerging Technologies; Industry 4.0; High Tech; Ethics Regulation; Business Leadership; Pattern Recognition; Information Technology; Entrepreneurs; Management (search for similar items in EconPapers)
JEL-codes: L1 L2 L21 L26 M1 (search for similar items in EconPapers)
Date: 2025
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