Predictive Analytics and Generative AI for Data-Driven Marketing Strategies
portes grátis
Predictive Analytics and Generative AI for Data-Driven Marketing Strategies
T, Revathi; Choudhury, Debdutta; K, Hemachandran; Wise, Jorge A.; Rodriguez, Raul Villamarin
Taylor & Francis Ltd
12/2024
276
Dura
9781032748917
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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: 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.
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Predictive analytics, Generative AI, Data-driven marketing, Marketing analytics, Customer segmentation, Personalized marketing, Pricing optimization, Churn prediction, Synthetic data generation, Ethical marketing
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: 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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
