Generative Ai Marketing Startup Case Studies

Learn Generative AI Marketing Through Case Studies in Content Creation, Personalization, Automation and Business Growth

What you'll learn

Analyze the landscape of Generative AI in marketing and identify key categories such as content creation, personalization, automation, and analytics.

Apply competitive analysis to find market gaps and assess the defensibility of Generative AI wrapper products.

Understand how successful founders validate ideas, design workflows, and create measurable ROI in Generative AI marketing startups.

Develop a practical framework for positioning, pricing, and scaling Generative AI-driven marketing products.

Requirements

No prior experience is required. This course is beginner-friendly and only requires curiosity about Generative AI and an internet connection.

Description

This course takes you inside the world of Generative AI in MarTech, focusing on real-world case studies of entrepreneurs who have turned early AI capabilities into thriving businesses. From content creation and copywriting to personalization, workflow automation, and analytics, you will see how innovators identified gaps, validated their ideas, and built defensible products that deliver measurable ROI for marketers. Instead of hype, you will gain practical insights into how these startups actually operate and succeed.We begin by exploring the landscape of Generative AI in marketing, the categories of applications, the rise of wrapper products on top of large language models, and the importance of competitive analysis in such a crowded space. You will learn why defensibility matters, how automation and workflow integrations create stickiness, and what it takes to position a product effectively for market adoption. By grounding the discussion in examples, you will start to recognize the frameworks that can guide your own product thinking.By the end of this course, you will understand how successful founders have leveraged Generative AI to build innovative marketing solutions and develop a practical toolkit to evaluate opportunities, design defensible products, and create pathways to scalable, sustainable business growth.Let's get started!

Overview

Section 1: Generative AI Marketing Startup Case Studies

Lecture 1 Introduction

Lecture 2 Generative AI Marketing Startups

Lecture 3 Defensibility of Wrapper Products

Section 2: Case Studies of Generative AI Marketing Startups

Lecture 4 Copy.ai CEO Chris Lu on Building a GenAI Startup to $10M+ with a Virtual Team

Lecture 5 Backstroke and Pattern89 Founder RJ Taylor on Bringing a GenAI Product to Market

Lecture 6 Leadzai CEO João Aroso on Building a Generative AI Venture from Portugal

Section 3: 1Mby1M Philosophy

Lecture 7 Make VCs Salivate

Lecture 8 VCs Love to Come to the Rescue of Victory

Lecture 9 VC Means Hypergrowth

Lecture 10 Nine out of Ten Startups that Sign Up for Blitzscaling Fail

Lecture 11 Bootstrap First Raise Money Later is Better than Blitzscaling from the Get Go

Lecture 12 Bootstrap First, Raise Money Later

Lecture 13 Bootstrap First to Repeatability, then Raise Blitzscaling Capital

Lecture 14 Chasing Customers vs Chasing Investors

Lecture 15 Probability of Pre-Seed Funding

Lecture 16 Go Big or Go Home is Terrible Advice

Section 4: The Accelerator Conundrum

Lecture 17 Accelerator Equity is Expensive

Lecture 18 Bootstrap First to Repeatability, Then Go to Y Combinator

Lecture 19 Y Combinator

Lecture 20 Avoid Demo-Day Focus when Looking for an Accelerator

Lecture 21 Non Equity Accelerator

Lecture 22 Why 3-month Accelerators are Often Useless

Lecture 23 Accelerator Hopping is Not Recommended

Lecture 24 3-month Accelerator Should Not Be Your Starting Point

Section 5: Unicorns

Lecture 25 10 Unicorns that Bootstrapped First, Raised Money Later

Lecture 26 How to Build Unicorns

Section 6: 1Mby1M Methodology

Lecture 27 Sales 2.0

Lecture 28 TAM = Total Addressable Market

Lecture 29 Startup Velocity

Lecture 30 Ultralight Startups

Lecture 31 Copycat Startups

Lecture 32 Concept Financing

Lecture 33 Smart Money vs Dumb Money

Lecture 34 Some Startups are Not Fundable

Lecture 35 High Churn is a Fundability Killer

Lecture 36 Startup Mistakes

Section 7: 1Mby1M Methodology Playbooks

Lecture 37 Playbook for Founders Bootstrapping with Services

Lecture 38 Playbook for Solo Entrepreneurs Bootstrapping an Ultralight Startup

Lecture 39 Playbook for Fundraising for B2B SaaS / AI

Section 8: Bonus

Lecture 40 Bonus Lecture

Entrepreneurs exploring Generative AI opportunities in marketing technology,Startup founders interested in building AI-driven MarTech products,Product managers curious about applying Generative AI to content, automation, and personalization,Marketers eager to understand how AI can boost conversion and ROI