[Free] Chatgpt Marketing And Lead Generation Masterclass
ChatGPT to research markets, create persuasive campaigns, generate qualified leads, and build repeatable marketing
What you’ll learn
- 1. Build an evidence-based ChatGPT marketing strategy connected to meaningful business outcomes.
- 2. Create reusable AI workflows using strong context, constraints, examples, and evaluation criteria.
- 3. Improve market research, positioning, messaging, campaign development, and lead generation.
- 4. Design stronger offers, lead magnets, funnels, nurture sequences, and conversion paths.
- 5. Apply human review, verification, privacy, and brand-safety controls at the right moments.
- 6. Measure quality, efficiency, customer response, pipeline contribution, and organizational learning.
Requirements
- 1. **No coding experience is required.**
- 2. Access to ChatGPT is helpful but not required to understand the strategic frameworks.
- 3. Students should bring a real business, client, campaign, offer, or professional objective to apply throughout the course.
- 4. A willingness to test assumptions and verify AI-generated claims is essential.
Description
This course contains the use of artificial intelligence.
Artificial intelligence can increase the speed of marketing, but speed without strategy creates more noise. **ChatGPT Marketing and Lead Generation Masterclass** gives professionals a structured, evidence-based system for using ChatGPT while protecting judgment, accuracy, customer trust, and brand integrity.
This course moves beyond isolated prompts and disconnected tactics. Students learn how to define business outcomes, organize useful context, develop repeatable workflows, evaluate output quality, maintain human review, and connect marketing activity to measurable results.
The first lecture establishes the ChatGPT marketing operating system, including prompt architecture, roles, context, constraints, evidence, and reusable workflow design. Students then use ChatGPT for market research, voice-of-customer analysis, competitor intelligence, segmentation, and insight validation.
The course continues with offer design, value propositions, objection analysis, message hierarchy, campaign creation, and channel adaptation. Students apply those concepts to lead magnets, landing pages, nurture sequences, qualification, and conversion diagnostics.
The final lecture connects automation to measurement, human review, experimentation, hallucination control, privacy, governance, and responsible scale. Each lecture includes a practical framework, realistic application, quality controls, and an assignment that can be used with an organization, campaign, client, or professional goal.
By the end of the course, students will possess a working ChatGPT marketing operating system and a practical roadmap for responsible execution and continuous improvement.
Author(s): Dr. Law Payne
