The comprehensive book »Predictive Analytics and Generative AI: Powering Data-Driven Marketing Decisions« covers the relationship between generative AI, predictive analytics and marketing. This book seeks to offer a thorough knowledge of how these cutting-edge technologies may be used to support data-driven marketing strategies and empower organizations to make wise decisions for the improvement of their marketing campaigns.
Topics Covered (But not limited to): - Introduction to Predictive Analytics and Generative AI
- Fundamentals of Data-Driven Marketing
- Predictive Analytics Techniques for Marketing
- Customer Segmentation and Targeting
- Personalized Marketing and Recommendation Systems
- Pricing Optimization using Predictive Analytics
- Churn Prediction and Customer Retention
- Marketing Campaign Optimization
- Sentiment Analysis and Social Media Marketing
- Generative AI Techniques for Marketing
- Synthetic Data Generation for Marketing Insights
- Privacy and Ethical Considerations in Data-Driven Marketing
- Measuring Marketing Effectiveness and ROI
- Case Studies in Data-Driven Marketing
- Future Trends in Predictive Analytics and Generative AI for Marketing
Editors:
- Prof. Debdutta Choudhury, Associate Dean, School of Business, Woxsen University, India
- Dr. Hemachandran K, Director - AI Research Centre, Woxsen University, Hyderabad, India
- Dr. Raul Villamarin Rodriguez, Vice-President, Woxsen University, Hyderabad, India
- Dr. Jorge A. Wise, Professor of Marketing and International Business, CETYS Graduate School of Business, CETYS Universidad, Mexicali, Mexico
- Dr. Revathi T, Assistant Professor, Professor, Department of Artificial Intelligence, Woxsen University, Hyderabad, India
Last date for submission of full chapter : 30th December 2023
Acceptance of the chapter : 20th January 2024
Submit your full chapter to: cfpmlmba21@gmail.com
