Role-Based Programme
RB1201

AI for Marketing

Smarter Campaigns, Customer Insights, Content & Marketing Performance

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Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Understand how AI can support modern marketing across research, strategy, content, campaigns, customer engagement, and performance analysis.
  • Apply AI to analyse customers, competitors, market trends, campaign opportunities, and marketing data.
  • Use AI to create and refine marketing content, campaign briefs, audience messaging, and multi-channel communication.
  • Develop practical skills for personalisation, campaign planning, content repurposing, performance analysis, and optimisation.
  • Understand responsible AI use, privacy, copyright, factual accuracy, brand consistency, bias, and human oversight in marketing.

Tools covered

Generative AI AssistantsAI Search & ResearchCustomer & Market AnalysisContent GenerationCampaign PlanningPersonalisationSocial Media SupportSEO & Search SupportMarketing AnalyticsAI-Powered Presentation & Reporting Tools

Who should attend

  • Marketing Executives
  • Marketing Managers
  • Digital Marketing Professionals
  • Brand Marketing Professionals
  • Product Marketing Professionals
  • Content Marketing Professionals
  • Performance Marketing Professionals
  • Social Media Professionals
  • CRM & Lifecycle Marketing Professionals
  • Marketing Operations Professionals
  • Market Research Professionals
  • Growth Marketing Professionals
  • Marketing Communication Professionals
  • Marketing Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of marketing concepts and customer communication
  • Familiarity with campaigns, digital channels, content, or customer research is helpful
  • Basic communication and digital-tool skills
  • No programming or technical AI knowledge required
  • Prior experience with AI tools is helpful but not mandatory

TOC Modules

Concepts
  • Understanding Generative AI and its relevance to modern marketing
  • Exploring AI applications across research, content, campaigns, customer engagement, and analytics
  • Distinguishing Generative AI from marketing automation, analytics, and traditional search
  • Understanding AI limitations, hallucinations, bias, and data-quality risks
Practical activities
  • Identifying recurring marketing activities suitable for AI assistance
  • Mapping AI opportunities across the marketing lifecycle
  • Comparing traditional and AI-assisted marketing workflows

Scenarios

Market Opportunity to Integrated Marketing Campaign

Market Research → Customer Insights → Segmentation → Campaign Objective → Core Message → Channel Strategy → Content Creation → Performance Measures

Participants use AI to analyse a sample market opportunity and develop an integrated marketing campaign covering audience selection, messaging, content, channels, and measurable outcomes.

Campaign Performance to Marketing Optimisation Plan

Marketing Data → Channel Analysis → Audience Response → Performance Gaps → Optimisation Hypotheses → Revised Content & Targeting → Action Plan → Management Summary

Participants use AI to analyse sample campaign performance, identify improvement opportunities, and prepare a structured marketing optimisation plan for management review.

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