Generative AI Marketing

Duration 3 days – 21 hrs

 

Overview

This three-day training program introduces marketing professionals to the foundational and practical aspects of Generative AI. Participants will learn to create AI-driven marketing content, perform basic data analysis, and design a small-scale campaign with a final project—all using free or low-cost tools like ChatGPT and Orange Data Mining.

 

Objectives

 

• Understand key concepts of Generative AI and how it applies to marketing.
• Use ChatGPT to generate and refine marketing copy (social posts, email templates, blog ideas).
• Perform basic data analysis in Orange Data Mining for customer segmentation or campaign insights.
• Implement simple AI-driven personalization and automation in marketing workflows.
• Design and present a mini-AI-powered marketing campaign as a final project.

 

Audience

 

• Marketing Coordinators, Specialists, and Managers
• Content Creators, Social Media Managers, and Copywriters
• Anyone responsible for digital campaigns, email marketing, or marketing analytics
• No prior coding or advanced AI experience is required—just a basic understanding of marketing principles.

Prerequisites 

• A laptop with internet access

• Familiarity with general marketing concepts (audiences, campaigns, funnels)

• (Optional) Basic familiarity with Excel/CSV data handling is helpful for Orange

Course Content

 

Day 1: Generative AI Foundations & Content Creation

 

Introduction to Generative AI in Marketing

• Definitions: What is Generative AI and why it matters for marketers
• Overview of free/affordable AI tools (e.g., ChatGPT, free trials for image generation)

 

Ethical & Practical Considerations

• Avoiding AI bias, respecting content ownership, and ensuring brand consistency
• Data privacy and compliance basics

 

Hands-On with ChatGPT

• Accessing and navigating ChatGPT’s interface
• Crafting prompts for blog outlines, social media copy, and email subject lines
• Refining AI-generated content for tone, accuracy, and brand voice

 

Workshop: Generating Marketing Content

• Activity: Each participant creates a short social media post and an email draft promoting a fictional product using ChatGPT
• Peer review in small groups to tweak prompts for better results

 

Day 2: Data Analysis, Personalization & Automation

 

Introduction to Orange Data Mining

• Installation and interface overview
• Importing a simple CSV with marketing or customer data (e.g., email engagement rates)

 

Basic Data Exploration & Segmentation

• Visualizing data (e.g., funnel drop-off points, open rates)
• Creating simple customer segments (e.g., highly engaged vs. low engagement) using Orange’s drag-and-drop widgets

 

AI-Driven Personalization & Automation

• Brainstorming ways to personalize campaigns (headlines, product recommendations)
• Integrating AI-generated messages (from ChatGPT) into automated marketing workflows (e.g., email drip campaigns)

 

Workshop: Personalization & Simple Analytics

• Activity: Use Orange to segment a sample dataset into audience groups
• Activity: Generate a personalized email or landing page copy for each segment with ChatGPT
• Discussion on connecting these steps with existing marketing tools (MailChimp, HubSpot, etc.)

 

Day 3: Final Project Design, Presentations & Wrap-Up

 

Final Project Brief

• Objective: Develop a mini AI-powered marketing campaign for a hypothetical product or service.

 

Components:

• Short promotional content (social post or ad copy) generated by ChatGPT
• Basic segmentation or forecasting using Orange (e.g., which segment is most likely to convert)

 

Outline of an automated workflow (how you’d send personalized emails or messages)

 

Project Work Session

• Participants work individually or in small teams

 

Steps:

• Choose a fictional product or use a provided scenario
• Generate targeted copy for at least two audience segments
• Visualize or analyze sample data in Orange to guide your campaign strategy
• Draft a short plan describing how you’d automate and personalize the campaign

 

Presentations & Peer Review

• Each group presents their AI-powered marketing campaign (5–10 minutes)
• Peers and instructor provide feedback and suggestions

 

Wrap-Up & Next Steps

• Recap of major takeaways: prompt engineering basics, data visualization best practices, ethical usage
• Additional resources for continued learning (Orange tutorials, marketing automation guides, advanced AI tools)
• Final Q&A and course conclusion