Section 6: Campaign Planning and Strategy with AI
- Using AI to help plan campaign strategy and the marketing funnel
- Building a content calendar and posting plan
- Generating campaign ideas, themes and A/B testing approaches
- Keeping messaging consistent across channels (omni-channel message)
Section 7: SEO, AEO/GEO and Social with AI
- Using AI to find and group keywords and outline SEO articles
- AEO/GEO concepts to make content that AI search and assistants pick up
- Adapting content to each social platform
- Workshop: outline an SEO article and a social post set from target keywords
Section 8: Marketing Automation and Assistants
- Building a Custom GPT or Gem as an on-brand marketing assistant
- Embedding brand guidelines and business rules for consistent results, shared across the team
- An overview of automation with n8n, such as summarizing comments or queuing content
- Workshop: build one marketing assistant for a task the team repeats every week
Section 9: Analytics and Reporting with AI
- Using AI to analyze campaign data and summarize key points
- Reading results and finding insight from numbers (engagement, reach, conversion)
- Preparing executive marketing reports that support decisions, with cautions on interpretation
- Workshop: analyze a sample campaign dataset and summarize it into a one-page report
Section 10: Brand Safety, Copyright and PDPA
- Brand risks when using AI: accuracy, tone of voice and misinformation
- Copyright of AI-generated work and how to use it safely
- Customer data and PDPA: what can and cannot go into AI
- Setting the marketing team's AI usage guideline
Section 11: Capstone Project and Real-world Adoption
- Task: plan the learner's marketing campaign end to end with AI, from persona, strategy and content to visuals and a measurement plan
- Present the work and get feedback from the instructor and peers
- A first-30-days adoption plan and setting up AI use for the whole marketing team