책 이미지

책 정보
· 분류 : 외국도서 > 경제경영 > 경제학/경제일반 > 계량경제학
· ISBN : 9781032748917
· 쪽수 : 290쪽
· 출판일 : 2024-12-10
목차
Chapter 1: Introduction to Predictive Analysis and Generative AI. Chapter 2: Fundamentals of data-driven marketing. Chapter 3: Future trends in Predictive Analytics and Generative AI for Marketing. Chapter 4: Analytical Prospective on Fashion Industry ? A Data Driven Strategies. Chapter 5: Predictive analytics techniques for marketing. Chapter 6: Customer targeting and segmentation. Chapter 7: Personalised Marketing and Recommendation Systems. Chapter 8: Pricing Optimization Using Predictive Analytics. Chapter 9: Churn Prediction and Customer Retention. Chapter 10: Marketing Campaign Optimization. Chapter 11: Customer Retention Using Machine Learning Techniques in Human Resource Industry: A Systemic Literature. Chapter 12: A Persona Based Approach for Churn Prediction and Retention Strategies Driven by Predictive Analytics and Generative AI. Chapter 13: Sentiment Analysis and Social Media Marketing. Chapter 14: Generative AI Techniques for Marketing. Chapter 15: Privacy and Ethical Considerations in Data-Driven Marketing. Chapter 16: Price Prediction and Optimization in Predictive Analytics and Generative AI for Data-Driven Marketing Strategies. Chapter 17: Synthetic Data Generation for Marketing Insights. Chapter 18: Measuring Marketing Effectiveness and Return on Investment. Chapter 19: Emerging Technologies Shaping the Future of Marketing. Chapter 20: Customer Segmentation Techniques in Predictive Analytics and Generative AI for Data-Driven Marketing Strategies. Chapter 21: Case Studies in Data-Driven Marketing. Chapter 22: Case Studies in Churn Prediction and Customer Retention. Chapter 23: Leveraging Generative AI for Personal Branding.