My Honours research was not about consumers.
It was about rock climbers.
Specifically, it was about why people voluntarily engage in activities that carry a genuine risk of serious injury or death, and what psychological differences exist between those who approach that risk in fundamentally different ways.
The research drew on well-established psychological theory around motivational orientation. A central finding in this field, and one my research set out to investigate in a high-risk physical context, was that the same physiological experience can feel completely different depending on a person's dominant motivational predisposition.
High arousal, the elevated heart rate, heightened alertness, and physical intensity that comes with genuine risk or challenge, is not a neutral signal. For someone oriented toward sensation and present experience, that arousal is felt as excitement. It is the reward. It is what makes the activity worth doing. For someone oriented toward goals and future outcomes, the same physiological state is felt as anxiety. It is a signal that something threatens the goal. It is something to manage rather than something to seek.
This was not a new theoretical claim. It was well established in the psychology literature. What my research contributed was evidence that these orientations were stable, structured, and predictive of behaviour in high-risk physical contexts. Rock climbers did not simply have different opinions about risk. They inhabited fundamentally different psychological relationships with the same physiological experience.
What I did not know at the time was that I was building the conceptual foundation for the Impulse Engine.
The Problem With How We Explain Consumer Choice
Before explaining what the Impulse Engine does, it is worth being clear about what conventional consumer research does not do.
Most segmentation in market research is demographic. We divide consumers by age, gender, income, geography, and household composition. These divisions are easy to measure, easy to communicate, and easy to target. They are also largely useless as predictors of individual purchase behaviour.
Two 35-year-old women living in the same suburb, with similar household incomes and similar family structures, can have completely different relationships with the same brand, completely different responses to the same marketing message, and completely different purchasing patterns in the same category. Demographics describe who people are. They say almost nothing about why they choose what they choose.
Attitudinal research does better. Asking people what they think and feel about a category or brand gets closer to the psychological drivers of behaviour. But attitudinal data is typically gathered after the fact, and it captures the rationalisation of a choice more often than it captures the mechanism that produced it.
What neither approach gets at is the motivational architecture that sits beneath both demographics and attitudes: the fundamental psychological drivers that shape how a person engages with every decision they make, not just their stated preferences about a particular product or brand.
That is what the Impulse Engine was built to measure.
Eight Motivational States
The Impulse Engine identifies eight motivational states organised across four psychological dimensions. These are not personality types and they are not fixed labels. They are motivational profiles that describe the dominant psychological drivers active in a consumer's decision-making within a given category and context.
The eight states are organised as four pairs, each representing a fundamental tension in human motivation:
Purpose versus Experience. Purpose-driven consumers prioritise meaning over momentum. They want their choices to reflect something deeper than immediate gratification, values, identity, and long-term significance. Experience-driven consumers prioritise sensation over strategy. The quality of the immediate engagement matters more than what it represents.
Traditional versus Disruptive. Traditional consumers prioritise stability over novelty. They value consistency, proven reliability, and the confidence that comes from knowing what to expect. Disruptive consumers prioritise reinvention over convention. They are drawn to the new, the different, and the challenging of established norms.
Achievement versus Connection. Achievement-driven consumers prioritise progress over comfort. Status, advancement, and measurable outcomes are the currencies that matter. Connection-driven consumers prioritise belonging over winning. The relationship, the community, and the sense of shared identity matter more than individual advancement.
Self-Gain versus Collective Impact. Self-Gain consumers prioritise return over sentiment. The value of a choice is measured by what it delivers personally. Collective Impact consumers prioritise ripple over return. The broader consequence of a choice, its effect on others, on communities, on the world, carries weight alongside or above personal benefit.
Each consumer has a dominant motivational state that shapes how they engage with categories, brands, and purchase decisions. Understanding which states are most prevalent among your consumers, and how those states map onto your brand's equity dimensions, is the foundation of motivation-informed strategy.
From Rock Climbing to Consumer Decisions
The connection between my Honours research and the Impulse Engine is not metaphorical. It is direct.
What the rock climbing research revealed was that motivational differences between participants were not random personality quirks. They were structured, stable, and predictive. The key finding was about the physiological experience of arousal itself.
Two climbers approaching the same route, facing the same objective challenge, were having structurally different psychological experiences. The climber whose dominant motivational orientation was toward sensation and present engagement felt the high arousal of the climb as excitement, the reward that made the activity worth doing. The climber whose dominant orientation was toward goals and future outcomes felt the same arousal differently, as something to manage, to overcome, in service of completing the climb.
Same route. Same objective risk. Same physiological signals. Two completely different psychological experiences, determined not by external circumstances but by internal motivational orientation.
This was significant for two reasons. First, it explained the selection effect, why some people are drawn to high-risk activities and others are not. If your dominant motivational orientation means you experience high arousal as excitement rather than anxiety, you are far more likely to seek out activities that generate that arousal. Second, it showed that motivational orientation was not simply a cognitive preference or a stated attitude. It was a stable predisposition that shaped how the body's own signals were interpreted.
The Impulse Engine is not a direct application of any single existing psychological framework. It is a commercially developed motivational model built on twenty years of applied consumer research, informed by academic psychology but shaped by the practical realities of strategic decision-making in business contexts. The eight motivational states and the four dimensional pairs are Knowsis's own framework, developed and refined through extensive applied research across categories and markets.
What the rock climbing research contributed was the foundational insight: that motivational orientation is not a surface-level preference. It is a deep psychological structure that shapes experience itself. When we talk about motivational states driving consumer behaviour, we are not talking about people having different opinions about products. We are talking about people inhabiting fundamentally different psychological relationships with the same experience.
What the Impulse Engine Reveals That Demographics Miss
Consider a practical example.
A financial services business wants to understand why customer retention is declining in a particular product category. Demographic analysis shows the decline is concentrated in the 28 to 40 age group. The obvious response is to develop marketing targeted at that demographic, perhaps emphasising value, digital convenience, or product features relevant to that life stage.
The Impulse Engine produces a different picture. Within that age group, there are consumers whose dominant motivational state is Achievement: they prioritise progress over comfort, they measure value by outcomes and advancement, and they respond to brand signals that affirm their forward trajectory. For these consumers, the retention problem is about relevance to their ambitions. A financial product that feels static or insufficiently aligned with their progress narrative loses their engagement not because it is bad, but because it does not speak to what actually motivates them.
There are also consumers in the same demographic whose dominant state is Connection. They prioritise belonging over winning. The relationship with the institution, the sense of being part of something, and the consistency of that human connection are the foundations of their loyalty. For these consumers, the retention problem is entirely different. It is about the quality of the relationship experience, the feeling of being known and valued rather than processed.
Same demographic. Two fundamentally different motivational states. Two completely different retention problems. Two completely different solutions. A demographic-only analysis would apply the same intervention to both groups and wonder why it only partially worked. Motivation-informed analysis does not just describe who your consumers are. It tells you what would actually change their behaviour.
The LLM Monoculture Problem
There is a broader context for why psychologically grounded consumer insight matters now more than it has at any previous point in the industry's history.
Large language models have become extraordinarily capable at generating plausible-sounding consumer insight. Ask an LLM what motivates a 35-year-old urban professional to choose one financial product over another, and you will receive a coherent, well-structured answer. Ask seventy different LLMs the same question and you will receive seventy versions of essentially the same answer, because they are all drawing from the same corpus of human-generated text, all trained to produce outputs that resemble expert analysis, and all converging on the same centre of gravity in the distribution of plausible responses.
This is what I think of as the monoculture problem. When insight generation is dominated by tools that produce statistically typical responses, the strategic value of insight collapses. If every competitor in your category is using the same tools to understand the same consumers and arriving at the same conclusions, the insight is no longer a source of competitive advantage. It is a shared assumption.
Psychology-backed motivation profiling produces structurally different insight because it starts from a theory of how human cognition actually works, not from a statistical model of what human-generated text about consumer behaviour tends to say. The Impulse Engine does not pattern-match. It models. The difference in output is not marginal. It is the difference between insight that confirms what everyone already suspects and insight that reveals what most competitors have missed.
Application: Where the Impulse Engine Creates Value
The Impulse Engine creates the most value in three contexts.
Segmentation that predicts behaviour. When outcome-based segmentation is built on motivational profiles rather than demographics or stated attitudes, the resulting segments are more behaviourally coherent and more strategically actionable. Consumers in the same motivational state respond to the same brand signals, the same messaging approaches, and the same product features. That coherence is what makes a segmentation useful for decision-making rather than just descriptive.
Positioning and messaging strategy. Understanding the motivational architecture of a category tells you which brand signals resonate with which consumer profiles, and why. A brand trying to grow among Achievement consumers needs to communicate very differently from one trying to grow among Connection consumers, even if both groups sit in the same demographic band.
Product and experience design. Motivational states predict not just what consumers choose but how they want the choice experience to feel. Purpose-dominant consumers want their choices to carry meaning and long-term significance. Experience-dominant consumers want the immediate engagement to be rich, visceral, and memorable. Building products and experiences that align with the motivational profile of your core consumer is the most direct path from insight to commercial impact.
From Insights to Decisions
The market research industry is moving from insights to decisions, from research that describes what is happening to intelligence that specifies what to do about it.
The Impulse Engine is well positioned for that shift. Motivational states are decision inputs in the most direct sense. Knowing that your highest-value segment is Achievement-dominant does not require a further interpretive step before it becomes a brief. The motivational profile specifies the brand signals that will resonate, the experience qualities that will retain, and the messaging approaches that will convert.
A brand team that understands the motivational architecture of its consumer base is not waiting for insight to become actionable. The insight already is the action.