Key Concepts
- Belief Journey
- Reverse Organic
- Rapid Testing Method
- Black Swans (Evidence)
- Message Testing
- Visual Metaphors
- Traffic Objective
- Cost Per 25% Video View
- Intent Level (of Headlines)
- Emotional Jobs to Be Done
- Competitive Research
- Isolating Variables
Rapid Product Growth & Jean-Michelle's Acquisition System
Introduction
Jean-Michelle MO runs Rapid Product Growth, a consultancy that helps B2B SaaS companies, especially those around $1-2 million ARR, double their revenue. He partners with CEOs and founders, providing consulting on how to validate concepts and get marketing working effectively. His positioning is clear and concise, focusing on helping SaaS founders achieve growth.
Reverse Organic & The Belief Journey
Jean-Michelle employs a "reverse organic" approach, using paid advertising to drive targeted content that converts clients. He emphasizes that what works for large companies isn't necessarily what startups should do. He uses a simple ebook funnel, offering a guide for solving a common user acquisition problem in SaaS, collecting phone numbers, and calling leads to offer further assistance.
The core of his system involves mapping out the ideal customer profile (ICP) and their objections. Instead of just handling objections, he focuses on identifying and removing the underlying beliefs that cause them. He maps out the sequence of beliefs a customer needs to go through to conclude that Rapid Product Growth is the key to unlocking their next level of growth.
Belief Examples & Evidence
A common false belief among SaaS founders is that SEO is the safest way to grow. To counter this, Jean-Michelle doesn't use logical arguments but presents evidence to the contrary, such as stories of founders failing with SEO or data showing the time it takes to get an SEO program off the ground. He creates easily digestible videos and content to shift these beliefs.
Content Creation & Optimization
Jean-Michelle eventually boosts all content with ads on key platforms like YouTube and Meta. He focuses on creating content that converts clients at scale, rather than constantly generating new, unoptimized content. He emphasizes the importance of courage in running ads and persisting even without immediate results.
Growth Loop & Rapid Testing
Jean-Michelle advocates for a growth loop starting with cold email to generate revenue, which is then reinvested in paid ads. These ads provide market data that informs and improves the cold email strategy. He emphasizes the importance of quick feedback, asking "How can we find out if this works sooner?" He uses targeted, standardized, and "ugly" ads to quickly validate concepts.
Rapid Testing Method
The rapid testing method involves using cheap ad tests to isolate and validate assumptions. These tests provide low-fidelity data, helping to identify concepts that resonate with the target audience. As data accumulates, the fidelity, risk, and cost of experiments increase, eventually leading to modifications in demo scripts or sales processes.
Excalidraw Explanation of the System
- Starting from Zero: Contact everyone you know for referrals.
- Mapping the Customer:
- Get super specific about the ideal customer.
- Identify their pain points and how they relate to your offer.
- Understand their emotional jobs to be done.
- Belief Journey: Map out the sequence of beliefs needed to convince the customer that your product is the key to their success.
- Breaking False Beliefs: Replace false beliefs with true beliefs by showing evidence ("Black Swans").
- Competitive Research: Analyze competitors' products, offers, claims, and proofs to avoid repeating their mistakes and gain a solid understanding of the customer's world.
Message Testing
Message testing involves isolating all components of a message. Start by testing whether the target audience clicks on ads that simply state a pain point. Then, test how the audience describes the pain point.
Headlines Testing
Headlines are a versatile tool for testing repositioning. For example, Loom tested their shift from a screen recorder to a meeting alternative by changing their headline.
Traffic Objective
Use traffic objective for testing. Don't evaluate anything post-click; just see who clicked on what.
The Importance of Discernment
When evaluating data from ad tests, consider the level of the pain point. The most common pain isn't always the most valuable. Separate problems by tier of business to avoid down-marketing.
Ad Manager Examples
Jean-Michelle showed examples of his ad manager, including 83 ad sets testing different messages. He wrote 89 headlines and ran them as traffic objective, stopping them after about 500 impressions. He sorts the headlines by click-through rate to identify the top performers.
Headline Examples
- Good: "Demo to close rate dropping at scale?"
- Curiosity-Driven (Lower Intent): "A single pipeline test that earned a $2 million ARR SaaS company 5x demos."
- Poor (For His Audience): "Double your demo pipeline in 90 days or we work for free." (Too "marketer-y" for his target audience of B2B SaaS founders).
Key Principle: Change One Variable
The core principle of message testing is to only ever change one variable to make sense of the data.
Reverse Organic System Structure
- Boosted Content: Frequently boost valuable content (e.g., videos on the theory of constraints, long LinkedIn posts) to get more touchpoints with the target audience. Target people who have engaged with your videos, visited your website, booked a call, or are on your email list.
- Top of Funnel Videos: Run videos that might be interesting to top-of-funnel people. Evaluate the cost to retarget them (cost per 25% video view).
- Middle of Funnel Videos: Run videos that push viewers to schedule a call. Evaluate the cost per booked call.
- Scaled Campaign: Use proven ads in a scaled campaign.
Visual Metaphors
When you see a visual metaphor that works, ask yourself what are alternative similar visual metaphors that you could test.
Conclusion
Jean-Michelle's acquisition system is a methodical approach to understanding and converting SaaS founders. By focusing on the belief journey, using evidence-based messaging, and continuously testing and optimizing, he achieves efficient and scalable growth. His emphasis on isolating variables and using data to inform decisions makes his system highly effective.
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