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AI Sales Funnels and Conversion Optimization
New
3 students

AI Sales Funnels and Conversion Optimization

Use AI to diagnose customer journeys, strengthen offers, improve conversion, and run disciplined growth experiments
Created byDr. Law Payne
Last updated 10/2026
English

What you'll learn

  • - Build an evidence-based Conversion Optimization strategy connected to meaningful business outcomes.
  • - Create reusable AI workflows using strong context, constraints, examples, and evaluation criteria.
  • - Improve research, positioning, messaging, content, lead generation, and decision quality.
  • - Apply human review, verification, privacy, and brand-safety controls at the right moments.
  • - Measure quality, efficiency, customer response, pipeline contribution, and organizational learning.
  • - Develop a practical ninety-day roadmap for implementation and responsible scale.

Course content

1 section • 5 lectures • 33m total length

  • The Funnel as a Decision System6:38

    This lecture explains customer stages, friction, motivation, message continuity, economics, and diagnostic thinking. Students apply the ideas to a realistic business decision, examine common failure modes, and complete a practical exercise they can use immediately.


  • Offer Design and Message-Market Fit6:43

    This lecture explains desired outcomes, perceived likelihood, time, effort, risk reversal, proof, and objections. Students apply the ideas to a realistic business decision, examine common failure modes, and complete a practical exercise they can use immediately.


  • Landing Pages Nurture and Conversion Copy6:48

    This lecture explains information hierarchy, headlines, proof, calls to action, email sequences, and AI critique. Students apply the ideas to a realistic business decision, examine common failure modes, and complete a practical exercise they can use immediately.


  • Experimentation and AI-Assisted Optimization6:40

    This lecture explains research, hypotheses, prioritization, test design, qualitative insight, and interpretation. Students apply the ideas to a realistic business decision, examine common failure modes, and complete a practical exercise they can use immediately.


  • Unit Economics Retention and Responsible Scale6:44

    This lecture explains cAC, lTV, payback, cohort behavior, retention, attribution, and guardrails. Students apply the ideas to a realistic business decision, examine common failure modes, and complete a practical exercise they can use immediately.


Requirements

  • - No coding experience is required.
  • - Access to the relevant AI platform is helpful but not required to understand the frameworks.
  • - Bring a real business, client, campaign, or professional objective for the exercises.
  • - A willingness to test assumptions and verify AI-generated claims.

Description

This course contains the use of artificial intelligence.

Artificial intelligence can increase the speed of marketing, but speed without strategy creates more noise. AI Sales Funnels and Conversion Optimization gives professionals a structured, evidence-based system for using AI while protecting judgment, accuracy, customer trust, and brand integrity.

This course is designed for digital marketers, funnel builders, entrepreneurs, growth teams, consultants, and ecommerce professionals. It moves beyond isolated prompts and disconnected tactics. Students learn how to define business outcomes, organize the right context, develop repeatable workflows, evaluate output quality, maintain human review, and connect activity to measurable results.

Across five substantial lectures, Dr. Law Payne explains both the strategic logic and the practical execution. Each lecture includes a framework, realistic application, quality controls, and an assignment that can be used with a real organization, campaign, client, or professional goal.

Dr. Payne brings academic depth and extensive practical experience. He holds degrees in Business Administration and Marketing, Educational Psychology, Business, and a Doctor of Business Administration specializing in Organizational Leadership and Development. His professional background includes nine-figure entrepreneurship, major performance-marketing awards, more than one billion dollars in managed sales, and over fifteen years of teaching, coaching, and mentoring.

By the end of this course, students will possess a working Conversion Optimization operating system and a ninety-day plan for responsible execution and continuous improvement.

Who this course is for:

  • - digital marketers, funnel builders, entrepreneurs, growth teams, consultants, and ecommerce professionals.
  • - Professionals who want rigorous workflows instead of prompt collections.
  • - Teams seeking practical AI adoption with human accountability.
  • - Learners who want to connect AI activity to customer and revenue outcomes.

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