π₯ Watch the Episode
π Quick Summary
Entrepreneur and strategist Jon Stamell shares his winding journey from Detroit to the Bahamas to New York City, building a multimillion-dollar ad agency, advising CEOs, and ultimately developing an AI platform that uncovers the βwhyβ behind customer behavior. His insights reveal how curiosity, reinvention, and customer-centric thinking drive meaningful business growth.
β Common Questions & Answers
Q: Why didnβt Jon pursue professional sailboat racing?
A: Seeing older professional racers with unstable lifestyles convinced him it wasnβt a path that built long-term fulfillment.
Q: What pivotal moment changed his career direction early on?
A: A fundraising breakthrough at a nonprofit taught him the power of tailoring messages to individuals β a theme that shaped his entire career.
Q: What does Umiji do?
A: It helps brands understand customer motivations, perceptions, needs, and emotions using AI-driven segmentation and analysis.
Q: What is Jon most focused on now?
A: Advancing agentic and causal AI to help brands know not just what customers do, but why.

π Step-by-Step Guide
1. Start with Curiosity
Jonβs path wasnβt linear. Curiosity led him from Eastern Studies to sailing to business school to marketing.
2. Test Ideas Early
His simple segmentation experiment tripled nonprofit revenue β proving low-tech insights can produce high-impact results.
3. Challenge Boundaries
Jonβs Maine-based agency won global clients, showing that geography no longer limits opportunity.
4. Ask Better Questions
His CEO consulting model began with two deceptively simple questions:
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Who are your customers?
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How do you know?
5. Build Tools that Scale Understanding
AI now allows brands to uncover psychographics at scale β something previously impossible.
π Historical Context
The evolution of customer understanding has moved from basic demographics β behavioral tracking β big data β todayβs psychographic and AI-driven insight. Jonβs journey mirrors this shift, beginning with early mail-merge customization and progressing to modern AI segmentation.
π§ Guest Journey Summary
From Detroit roots to the open ocean, from nonprofit innovation to large-scale global advertising, Jon followed opportunities that aligned with his strengths: observation, pattern recognition, and human insight. Each chapter built toward his current passion β helping businesses understand people more deeply.
π’ Business Competition Examples
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Global ad agencies competing for national campaigns
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Large retailers vs. customer-centric smaller brands
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Traditional survey research vs. AI-driven segmentation platforms like Umiji
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Startups differentiating through psychographics vs. demographic-only competitors

π¬ Discussion Section
Jon raises an important issue: many CEOs donβt actually know their customers. They rely on anecdotes, selective stories, and assumptions. His approach challenges leaders to uncover motivations, emotions, and language patterns. By understanding why customers behave a certain way, businesses can create more resonant messaging, avoid misalignment, and optimize lifetime value.
This goes beyond simple marketing. Itβs about creating systems that reflect real human behavior.
βοΈ The Debate
Do companies rely too much on data and not enough on human insight?
Jon argues for balance. AI can reveal patterns humans can't see, yet human judgment is needed to interpret meaning and take action. Critics worry AI oversimplifies or miscategorizes. Supporters believe it finally unlocks the depth behind consumer behavior. The conversation is ongoing β and essential.
β Key Takeaways
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Curiosity fuels career reinvention
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Tailored messaging can dramatically improve outcomes
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Global opportunity isnβt limited by geography
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CEO assumptions often mask real customer behavior
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AI-powered psychographics are the next evolution of marketing
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Success requires resilience, thick skin, and conviction

β οΈ Potential Business Hazards
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Overconfidence in demographic segmentation
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Misinterpreting customer motivations
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Failing to ask βhow do we know?β
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Ignoring early signs of burnout or cultural mismatch in teams
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Not preparing for rejection in entrepreneurial environments
β Myths & Misconceptions
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βSmall companies canβt win big accounts.β β Jonβs agency proved the opposite.
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βCustomers behave logically.β β Behavior is emotional, contextual, and unpredictable.
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βAI replaces human analysis.β β It amplifies human understanding; it doesnβt replace it.
π Book & Podcast Recommendations
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Thinking, Fast and Slow β Daniel Kahneman
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The Innovatorβs Dilemma β Clayton Christensen
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Range β David Epstein
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Hidden Brain podcast
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Masters of Scale podcast
βοΈ Legal Cases
Relevant cases that touch on customer data, segmentation, or privacy:
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Carpenter v. United States β digital privacy expectations
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FTC v. Facebook β data usage and consumer protection
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Apple v. Pepper β platform competition and consumer access
π£ Expert Invitation
Want to share your entrepreneurial journey?
Apply to be a guest at inventiveunicorn.com.
Need help protecting your innovations?
Visit strategymeeting.com to meet with our legal team.

π Wrap-Up Conclusion
Jon Stamellβs career illustrates the power of adapting, questioning assumptions, and using technology to deepen human understanding. His work in AI-driven customer insight points to a future where businesses donβt just know what customers do β they understand why. And that makes all the difference.