* Definition, Scope, and Importance of Consumer Analytics * Role of Consumer Analytics in Marketing Decision-Making * Types of Consumer Data (Demographic, Behavioral, Psychographic) * Sources of Consumer Data (Surveys, Transactions, Social Media) * Challenges in Consumer Data Collection * Introduction to Data Analytics Techniques * Overview of Data-Driven Marketing * Ethical Considerations in Consumer Analytics * Privacy and Data Protection Laws * Role of Technology in Consumer Analytics

* Introduction to Analytical Tools (Excel, SPSS) * Statistical Techniques for Consumer Analytics (Descriptive, Predictive, Prescriptive) * Segmentation and Clustering Techniques * Regression Analysis for Consumer Insights * Sentiment Analysis and Text Mining * Behavioral Analytics and Customer Journey Mapping * Visualization Tools (Tableau, Power BI) * Importance of Machine Learning in Consumer Analytics * A/B Testing in Marketing * Tools for Tracking Online Consumer Behavior

* Role of Segmentation in Understanding Consumer Behavior * Types of Segmentation (Geographic, Demographic, Psychographic, Behavioral) * Data-Driven Customer Profiling * Building Personas for Targeting * Life-Time Value (LTV) Analysis * Predictive Models for Customer Retention * Using Analytics to Identify High-Value Customers * Techniques for Cross-Selling and Upselling * Importance of Dynamic Segmentation * Challenges in Implementing Segmentation Strategies

* Introduction to Predictive Analytics * Building Predictive Models (Decision Trees, Neural Networks) * Role of AI in Consumer Predictions * Applications of Prescriptive Analytics in Marketing * Churn Analysis and Predicting Customer Retention * Price Optimization Models * Demand Forecasting Using Analytics * Real-Time Personalization Techniques * Tools for Prescriptive Analytics * Case Studies of Predictive and Prescriptive Success Stories

* Big Data and Its Impact on Consumer Insights * Role of IoT in Gathering Consumer Data * Social Media Analytics for Consumer Behavior * Voice Analytics and Emerging Technologies * Ethical AI in Consumer Analytics * Real-Time Data Analytics for Marketing * Blockchain and Consumer Data Management