Course Outline

Module 1: Introduction to AI in Email Marketing

• AI vs traditional email marketing approaches

• Key AI tools for email marketing (HubSpot AI, Mailchimp, Salesforce Einstein, Jasper)

• Understanding customer data as the fuel for AI
  Case Study: How AI transformed campaign ROI for a B2B company

Module 2: AI for Audience Segmentation & Targeting

• Dynamic segmentation using AI-powered CRMs

• Predictive audience modeling & clustering

• AI-assisted lead scoring for prioritizing engagement
  Exercise: Build an AI-driven segmentation strategy in HubSpot

Module 3: AI-Enhanced Copywriting & Content Generation

• Using ChatGPT, Jasper, and Copy.ai for email copy and subject lines

• Tone adaptation and personalization at scale

• Best practices for AI-human collaboration in content creation
  Practical: Generate AI-powered variations of subject lines & CTAs

Module 4: Predictive Analytics & Campaign Forecasting

• Using AI to predict open, click-through, and conversion rates

• Lead nurturing based on predictive behavior analysis

• Power BI & Google Analytics integration for campaign forecasting
  Case Study: Predictive engagement models in SaaS

Module 5: Workflow Automation with AI

• AI-powered drip campaigns & lifecycle workflows

• Trigger-based automation (behavioral, transactional, seasonal)

• Reducing manual workload with intelligent bots
  Exercise: Build an automated nurture campaign using AI in Mailchimp

Module 6: AI for Personalization at Scale

• Dynamic content blocks powered by AI

• Hyper-personalization of offers, timing, and messaging

• Cross-channel personalization (email + social + CRM sync)
  Case Study: Personalization driving higher retention in e-commerce

Module 7: AI-Powered A/B & Multivariate Testing

• Designing AI-driven test strategies for subject lines, layouts, timing

• Using machine learning for real-time test optimization

• AI’s role in adaptive testing (automatically picking winners)
  Practical: Run an AI-powered multivariate test in HubSpot

Module 8: Compliance, Ethics & Data Privacy in AI Email Marketing

• Navigating GDPR, CAN-SPAM, CCPA, and AI ethics guidelines

• Balancing personalization with privacy

• AI compliance monitoring tools (OneTrust, TrustArc)
  Case Study: Ethical AI in customer engagement

Module 9: Integrating AI Email Campaigns with CRM & BI

• Aligning AI-driven emails with Salesforce, HubSpot, and Power BI

• Centralized analytics dashboards for leadership reporting

• Using AI insights to optimize sales-marketing alignment
  Exercise: Build a performance dashboard integrating AI email data

Module 10: Capstone Project – Designing an AI-Powered Campaign

• End-to-end design of an AI-powered campaign (segmentation → content → automation → analytics)

• Presenting optimization insights to leadership

• Continuous learning and AI roadmap for email marketing teams
  Capstone Project: Build and present a real-world AI-powered campaign tailored to participants’ organizations