Artificial Intelligence for Marketing

Introduction to AI and its evolution in marketing, Machine Learning vs. Deep Learning in business Types of AI: Narrow, General, and Super AI, AI and Big Data synergy in marketing, Consumer behavior modeling using AI, Overview of AI-powered marketing ecosystems, AI readiness for marketers: mindset and skills, Introduction to AI use cases in marketing channels

Customer data sources and structuring for AI, AI-driven segmentation models (e.g., clustering), Behavioral segmentation using ML, Sentiment analysis using NLP, Voice of the Customer (VoC) using AI tools Personalization through predictive profiling, Persona generation using unsupervised learning, Case studies of segmentation with AI (Amazon, Netflix), AI in Customer Relationship Management (CRM)

AI in content generation (text, video, images), Natural Language Processing for ad copy & email, Generative AI tools for creative marketing, AI-powered chatbots and conversational marketing, A/B testing and campaign performance optimization, Predictive lead scoring and funnel movement, Marketing automation platforms (e.g., HubSpot, etc), AI in social media analytics and influencer selection, Case studies of campaign success using AI

AI in Pricing, Promotion, and Personalization Dynamic pricing algorithms and AI-based pricing models, Promotion optimization using AI simulations Recommendation engines (content-based, collaborative filtering), AI in cross-selling and upselling strategies Personalization engines in e-commerce, Customer churn prediction and retention modeling, Loyalty programs enhanced with AI, Retail analytics with AI: shelf placement, in-store behavior, Real-time personalization and contextual marketing

AI Tools, Platforms, and Case Applications in Marketing Overview of tools: Google AI, Azure ML, AWS AI, IBM Watson, Python/R basics for marketers, Power BI/Tableau for AI-driven marketing dashboards, Using ChatGPT & Midjourney for marketing creatives Deploying recommender systems with ML libraries, Interpreting AI model output for business actions Future trends: AI in Metaverse and immersive marketing, Industry case studies (e.g., Coca-Cola, Sephora, Spotify)