The Story
The Pattern
During Covid, I finally had time to look back. What I found surprised me.
I spent most of 2020 doing what most people who have spent 30 years moving fast eventually do when everything stops. I went back through my career. I wrote up my case studies properly. The wins, the failures, the ones that worked in spite of everything and the ones that should have worked and didn't.
I was looking for patterns. I found one. But it took a while to see it clearly, because the pattern was not in the strategy. It was not in the product or the pricing or the campaign. It was in something that sat underneath all of those things, something I had been responding to instinctively for three decades without ever naming it.
Every transformation that succeeded had involved changing what consumers believed about a brand. Every transformation that failed had not.
The Philips Breakthrough
Philips taught me that belief is the variable. Not the product. Not the market. The belief.
The Philips engagement was unlike anything I had done before. It was not a brand campaign. It was an organisational transformation. Specifically, changing how Philips's global innovation teams thought about what drove successful products.
The prevailing belief inside the organisation was that innovation was science-led. That the best technical solution wins. What I was brought in to do was shift that belief to something different: that the consumer's experience, what they understood, felt, and trusted about a product, was the real driver of commercial success.
"You cannot change what people do until you change what they believe. That is true of consumers. It is true of organisations. It turned out to be true of brands."
It took two years. Workshops across every major market. Repeated, patient, ground-level work to shift a belief that was deeply embedded in how tens of thousands of people understood their jobs. The progress was almost invisible month to month.
And then it tipped. And in the 12 months after the belief shifted, Philips generated £250 million in pipeline value from innovation projects that would previously have never made it to market.
That was the moment I understood that belief was not a soft concept. It was a commercial lever. And if you could move it deliberately, not accidentally, not instinctively, but with precision, you could change the financial outcome of any brand, product, or business.
The Eureka Moment
I went back through 34 case studies with a different question.
After Philips, I returned to my case study archive and read everything again. This time I was not looking for what I had done. I was looking for whether belief was the driver of every outcome, success and failure.
It was. Consistently. Uncomfortably so.
The transformations that succeeded were the ones where we had, knowingly or not, addressed the belief that was preventing growth. The ones that failed were the ones where we had built perfectly good strategies on top of a belief problem we had never identified.
The methodology did not exist yet. But the insight was locked. Every stalled brand, every declining category, every undervalued asset had a limiting belief at its root. Find the belief. Change the belief. Change the outcome.
The Science
I read everything I could find. The answer had been hiding in plain sight.
Once the pattern was clear, I needed to understand the mechanism. Why do beliefs form? How are they held? What does it take to change them, and how long does it take?
I read Rob Walker's Buying In, David Bayer's A Changed Mind, Maxwell Maltz's Psycho-Cybernetics, Michael Alan Singer's The Surrender Experiment. I read academic papers on cognitive behavioural therapy. I even read the Bible, which, whatever else it is, is the longest-running case study in the history of belief change.
What emerged was a model that has been understood in clinical psychology for decades: beliefs create feelings, feelings drive behaviour, and behaviour determines outcomes. The formal term is cognitive-behavioural. The commercial implication had never been applied systematically to brands.
Beliefs are not opinions. They are not preferences. They are encoded meanings. The interpretation a person has given to an experience, often years before a brand ever reaches them. They are durable. They are resistant to advertising. And they are, with the right intervention, changeable.
Building the Algorithms
The first result was 12% accuracy. That was the beginning, not the end.
The question I wanted to answer was simple: could brand beliefs be measured? And if they could be measured, could changes in belief be used to predict brand performance before it showed in sales data?
I started building with AI tools in 2023. The early results were not encouraging. The first growth prediction model achieved 12% accuracy. Which is to say, it was almost completely wrong.
The breakthrough came when I discovered back-testing, taking existing brand trajectories from the past and running my predictions against outcomes that had already happened. This allowed me to calibrate the model against reality rather than theory.
"12% accuracy was not a failure. It was the first data point. Every iteration got us closer. That is how algorithms work. That is how belief engineering works too."
By identifying 16 distinct limiting belief archetypes, drawn from the 34-case back-test library and validated against hundreds of brand trajectories, the model started to find structure in what had previously looked like noise.
I formalised Belief Engineering as a methodology in March 2025. By December 2025, after 105 verified back-tests, The Cipher was achieving 85% average prediction accuracy. The final 30 back-tests averaged 92%.
From there, the product suite emerged directly from what the algorithms could do. The Cipher identifies and ranks limiting beliefs from real consumer data, profiles the audience holding each belief, and projects the growth trajectory. The M&A League, the report ladder and the Acquisition Package are the commercial packaging of those capabilities. BeliefTrak is the continuous monitoring layer.
BeliefCo
Launched January 2026. The M&A League two months later.
BeliefCo launched in January 2026. The formal home for everything the methodology had produced. The diagnostic products. The algorithms. The back-test library. The 30-year case study foundation.
In March 2026, The M&A League followed. The idea was straightforward: if belief scores predict brand performance, then making those predictions public and timestamped, before the outcomes are known, was the most credible demonstration possible of what the methodology could do.
The first league, UK Premium Wellbeing, launched on April 4th 2026. Twenty brands. Twenty timestamped predictions. One year to verify them.
What happens next, even I cannot predict. But the methodology can.