AI and Effectiveness of Digital Advertising Ecosystems

Résumé du livre

In the rapidly evolving digital landscape, Artificial Intelligence (AI) is revolutionizing how brands connect with consumers. From personalized advertising targeting and automated content creation to predictive analytics and sentiment analysis, AI has become an integral part of the digital advertising ecosystem. However, while its adoption accelerates, there remains a need to critically assess AI’s role not just as a technological tool but as a transformative force shaping creativity, ethics, data privacy, and consumer behavior.

The chapters in the book collectively offer a deep and multifaceted examination of AI intervention in the digital advertising ecosystem, covering a wide range of themes like advertising, telemedicine, adoption, misinformation, artificial intelligence, algorithmic coercion, digital erasure, psychosocial vulnerability, generative artificial intelligence, digital media, cultural algorithm, social media, content curation, digital ecosystem, personalized marketing, customer engagement, predictive analytics, data privacy, customer lifetime value (clv), ethical ai, conversion optimization, ai-driven recommendation systems, digital film advertising, neuromarketing, consumer behavior, cultural personalization, algorithmic transparency, consumer engagement, impulsive consumption, digital advertising, behavioural nudges, micro-segmentation, incrementality, store-visit attribution, reinforcement learning, artificial intelligence, consumer engagement, personalization, data-driven decision making, omnichannel marketing, advertising activities, predictive insights, big data, programmatic advertising, customer data, automation, personalization, machine learning, ethical literacy, automation, sustainability, energy, data, consumption, and environment.

This book aims to fill the academic and practical gap by offering a comprehensive exploration of how AI is redefining advertising strategies, reshaping consumer-brand relationships, and challenging traditional marketing paradigms. The book will serve as a comprehensive guide, blending academic insights with real-world practices and case studies, addressing both the opportunities and challenges posed by AI-driven advertising. The volume will combine theoretical perspectives, case studies, and expert insights, making it relevant for scholars, practitioners, marketers, and policy-makers.