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Artificial Intelligence for Marketing Strategies

Real-Life Applications and Case Studies

Gebonden Engels 2026 1e druk 9781041034179
€ 151,34
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This book introduces emerging artificial intelligence (AI) technologies and their potential to reshape the marketing landscape, offering a forward-looking perspective on the future of marketing strategies. It leverages AI for enhanced customer engagement, brand building, and business excellence. From understanding customer behaviour in the AI era to strategically integrating AI-driven technologies, Artificial Intelligence for Marketing Strategies: Real-Life Applications and Case Studies provides actionable insights and practical tools for predictive market insights, data-driven decisions, and innovative customer engagement.

Features Insights into how AI redefines customer behaviour analysis and enhances data-driven strategies Practical guidance on embedding AI tools like predictive analytics and machine learning into marketing workflows Detailed analysis of how chatbots and conversational AI elevate customer experiences and strengthen brand positioning Predictive analytics discussions for forecasting market trends and achieving business goals Real-world examples showcasing the practical applications and outcomes of AI-driven marketing initiatives

This book is for professionals, scholars, and decision-makers looking to navigate the transformative potential of AI in the modern marketing landscape.

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Inhoudsopgave

1. The Role of AI in Marketing 2. Human AI Interaction In Marketing 3. Human-AI Collaboration in Marketing 4. Strategies for AI-powered Influencer Marketing in the Era of Industry 6.0 5. Nudging the Digital Cart: Role of AI in Shaping E-Grocery Choices 6. Exploring Consumer Behavior in Online Shopping: A Bibliometric and Framework based Systematic Review of Artificial Intelligence, Augmented Reality, Virtual Reality and Chatbots using TCM-ADO Framework 7. Analysing the Influence of AI on Customer Behavior in the Digital Era 8. Artificial Intelligence Meets Entrepreneurship: Navigating Marketing Personalization 9. Key Performance Indicators (KPIs) for AI Marketing 10. Ethics and Privacy in AI Marketing: Navigating Innovation with Responsibility 11. Experiential AI in Customer Experience Management: A Framework for Immersive, Co-Creative, and Ethical Customer Engagement 12. Enhancing Marketing with AI: Cutting-Edge Tactics for Future Consumer Engagement 13. Case Studies: Demonstrating AI-Powered Marketing Tactics 14. Personalization at Scale to Enhance Customer Experience: A Case Study of Amazon 15. Conclusion: Future of AI in Marketing

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          Artificial Intelligence for Marketing Strategies