About Michael Cameron

20+ years in the industry. Published researcher (Matter, Cell Press, 2020). Built growth systems for multiple brands across food, FMCG, apparel and services. Currently runs strivefortone from the Gold Coast.

I started in coffee in 2004, washing dishes at a roastery in Melbourne.

Over the next two decades, I worked my way through every role the industry has: barista, trainer, retail manager, wholesale manager, national accounts. I spent years at ST. ALi and Sensory Lab—two brands that helped define Melbourne's specialty coffee culture—before moving into senior marketing and e-commerce leadership.

I didn't set out to become a marketing consultant. I set out to understand why some coffee brands succeed and others don't, even when the coffee itself is exceptional.

The Research Detour

In 2018, I went back to university to study behavioural science at Swinburne. I wanted to understand decision-making—not from a marketing textbook, but from first principles.

That same period, I ended up collaborating on research that would eventually get published in Matter, Cell Press's materials science journal. The paper—Systematically Improving Espresso: Insights from Mathematical Modeling and Experiment (2020)—explored the physics and chemistry of espresso extraction. Most marketing consultants haven't been peer-reviewed.

The research taught me something I still use every day: complex systems have leverage points. You don't need to change everything—you need to find the variables that actually matter.

Building the System

Before strivefortone existed as a consultancy, I built the infrastructure I wished existed when I was running ops for other people's brands.

I wanted a system that could take signals from ads, from email, from Shopify, from Google—and turn them into clear, actionable direction without requiring a data science degree. I wanted something that could execute overnight so the morning started with decisions, not data. I wanted quality controls that meant nothing substandard reached a client.

That infrastructure—the data pipelines, the intelligence layer, the overnight execution system, the quality scoring—became Greenlight and the Mission framework. It's what every client engagement runs on now.

I manage growth for multiple brands. My infrastructure runs overnight. I'm not pretending to be an agency—I'm one person with systems that do the work of a team.

Every evening, Missions enter the queue—either submitted by clients or generated by the system based on what the data is telling us. Overnight, those Missions execute against each brand's specific context layer. Every output is quality-scored before delivery. Every morning, clients wake up to completed work and a signal verdict that tells them where to focus.

The system doesn't replace strategy. It replaces the manual execution that eats most of a consultant's day. That means my time goes into the work that actually requires human judgment—setting direction, interpreting nuance, making the calls that data alone can't make.

See how the overnight system works →

After years of running campaigns across different brands, I started noticing patterns that weren't in any marketing playbook.

Moment Mode vs Routine Mode

People buy for different reasons at different times. Sometimes they're in Moment Mode—shopping for a gift, trying something new, looking for an experience. Other times they're in Routine Mode—restocking what they already know works, reducing friction, protecting a habit.

Most marketing treats every customer the same. The result is friction: a Moment Mode ad leads to a Routine Mode landing page, and conversion dies in the gap.

When you match the mode to the message—when your ad knows whether it's creating demand or capturing it—everything gets more efficient.

Benefits-First Creative

In specialty coffee, there's a temptation to lead with craft: the origin story, the roast profile, the awards. But cold audiences don't care about provenance. They care about what the product does for them.

Benefits-first means leading with transformation—the morning that finally works, the gift that gets remembered—and letting the craft story earn its place after attention is won.

These aren't abstract theories. They emerged from testing across real campaigns, refined over years, with actual revenue data to show what works.

The people I do my best work with tend to be founders carrying the brand on their back who want growth without losing what makes it good. People who know something isn't working but can't see the leverage point yet. Brand-led operators balancing product integrity with commercial pressure. Time-starved marketers who need a system, not just another campaign.

I work with a small number of brands at any given time. Each brand gets its own intelligence layer built on its own data. Mostly coffee and food, though I take on other categories—apparel, services, any brand with a Shopify store and growth ambitions.

If you're curious whether we'd work well together, the best first step is a conversation.