Behavioural Economics
Speakers who decode how humans truly make decisions — and why rational choice theory rarely holds
Most marketing budgets are built to show results this quarter, not grow profit next year. Short-term ROI metrics look rigorous but actively mislead investment decisions. Decades of effectiveness case studies show that brands cutting brand budgets in favour of performance channels are trading long-term profit for visible short-term returns.
Senior teams now drown in data and still make confident decisions on weak evidence. The problem is rarely access to numbers. It is the unexamined intuitions, framing errors and innovation theatre that turn good information into bad calls. Leaders need a sharper toolkit for reasoning under uncertainty, and a willingness to learn from the failures their organisations would prefer to forget.
Senior leaders are under pressure to make high-stakes decisions in conditions where the available information is abundant, contested, and heavily distorted by media cycles and cognitive shortcuts. Yet the tools required to reason well under uncertainty – probability, causal inference, evidence evaluation – are rarely taught and even more rarely applied systematically inside organisations. The result is that even experienced executives and boards make decisions shaped more by availability bias, narrative pull, and institutional momentum than by the evidence in front of them.
The best growth opportunity in most organisations sits in the gap between what customers say they want and how they actually decide. Logical optimisation; better product, bigger budget, more data, consistently fails to close that gap. Organisations without a framework for working with perception, context, and human psychology will keep solving the wrong problem.
Senior teams routinely have to set rules, contracts and incentives for parties who know things they will not share and whose interests do not fully align with the firm’s. Auctions, supplier contracts, sales compensation, internal capital allocation and partnership governance all fail in the same way: the rules reward the wrong behaviour because they were designed without a model of how informed agents will actually game them. The question is not how to motivate people. It is how to design the rules so that telling the truth and acting in the firm’s interest become the rational choice.
Capital allocation decisions are being made against asset prices that look detached from fundamentals, with housing, equities, and credit cycles moving on stories as much as on numbers. Boards need a way to read those stories before they break, and a framework for separating durable signal from collective belief. The judgement call is pricing risk when standard models keep mispricing it.
Pricing power is eroding while procurement teams ask harder questions and clients are quicker to defect. Sales and account leaders know the answers cannot only be sharper discounts or more meetings. The unresolved tension is how to hold value, run conversations that decide deals, and keep customers loyal when every competitor sounds the same.
Boards are being asked to plan capital, hiring, and pricing through a cycle they cannot read. The standard macro briefing is too abstract to be useful, and the in-house view is rarely anchored in evidence about how policy actually reaches households and firms. Leaders need someone who can connect rate decisions, fiscal choices, and inequality to the parts of their business that actually move.
Most retailers and consumer brands still design stores, formats, and digital journeys around what they think customers do, not what customers actually do. The gap between intent and behaviour at the shelf, the entrance, the checkout, and the screen is where margin leaks and category share moves. Closing that gap requires direct observation of human behaviour in commercial space, not surveys, not focus groups, not dashboards.
Boards exposed to China are working with a different operating system than the one their advisors were trained on. State guarantees, shadow credit, and policy reflex shape capital flows in ways that do not appear cleanly in Western financial models. Leaders need a reading of the Chinese economy that names the specific risks rather than restating the headlines.
Most consumer research tells leadership teams what people say, not what they do. Brands keep losing share because the data they trust never reaches the actual moment of decision. And the same companies pour budget into transformation programmes that collapse under their own bureaucracy, killing the customer instinct they were built to protect.
Brands are investing heavily in digital experience and AI-driven personalisation, yet emotional loyalty is declining. Modern consumers – especially Gen Z and Gen Alpha – judge brands not by service quality but by authenticity, community, and belonging. Most leadership teams can describe their customer experience; almost none can explain why their customers stay.