AI in Marketing and Customer Intelligence
artificial-intelligence-ai.
Course Modules:
Module 1: Introduction to AI in Marketing
Evolution of digital marketing with AI
Key AI technologies in use: ML, NLP, CV
Marketing KPIs enhanced by intelligent systems
Module 2: Customer Data & Behavior Analytics
Collecting and integrating data across channels (web, CRM, social)
Understanding customer journeys
Customer intent prediction and behavioral clustering
Module 3: Customer Segmentation with Machine Learning
Supervised vs. unsupervised segmentation
K-means, hierarchical clustering, DBSCAN
Building dynamic audience segments
Module 4: Predictive Analytics in Marketing
Lifetime value (CLV) and churn prediction
Forecasting customer behavior and campaign ROI
Regression and classification models for marketing data
Module 5: Personalization & Recommendation Engines
Building content and product recommendation systems
Context-aware personalization with NLP
Tools: collaborative filtering, matrix factorization, hybrid models
Module 6: Marketing Automation with AI
Automated ad bidding and targeting
Email campaign optimization with ML
A/B testing and multivariate testing with AI
Module 7: NLP for Social Listening & Sentiment Analysis
Mining customer feedback from reviews and social media
Sentiment classification and intent detection
Brand monitoring and crisis management
Module 8: Conversational AI & Chatbots
Building AI-powered customer service agents
Natural language generation (NLG) for responses
Integrating bots with websites, apps, and CRMs
Module 9: Ethics, Privacy & Personalization Boundaries
Responsible use of data in marketing
Transparency in AI-driven decisions
Complying with GDPR, CCPA, and marketing regulations
Module 10: Final Capstone Project
Choose from:
Customer segmentation dashboard
AI-driven product recommendation engine
Social sentiment analytics report
Complete with campaign simulation and presentation
🧠Master Study NLP Fundamentals: The Foundation of Language Understanding in AI
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