Most marketing budgets are built on a lie.
Not a malicious one. A legacy one. The kind that made perfect sense for two decades, got baked into planning cycles and org structures, and is now quietly destroying returns while everyone pretends the model still works.
The lie is this: that investment in brand awareness has a causal relationship with growth.
It doesn’t. And the gap between those two things is where billions in marketing spend disappear every year.
The traditional model was always probabilistic, not causal. Awareness feeds consideration. Consideration feeds purchase. Purchase — eventually, indirectly, with a lot of intervening noise — feeds revenue. You could never draw a clean line from a campaign to an economic outcome. Too many variables. Too much leakage. That’s why marketing has historically struggled to prove its contribution to economic profit — not because it doesn’t contribute, but because the mechanism was impossible to isolate.
For a long time, that was acceptable. Attention was the bottleneck. Brands that could buy reach and build awareness controlled access to the customer. The model was imprecise, but it was the only game in town.
That world is gone.
Attention today is cheap, automated, and abundant. You can buy eyeballs at scale for almost nothing. Which means eyeballs are no longer the scarce resource. And when something stops being scarce, it stops being an advantage.
What’s scarce now is intent. The specific moment when a problem becomes real, options narrow, and a decision gets made. That moment is where markets are won and lost. And competing in it gets you meaningfully closer to a causal growth model — but only if you understand what intent alone still can’t tell you.
Intent tightens the chain. It doesn’t complete it.
When you compete at the intent moment, the mechanism becomes observable. Intent signal → response → conversion → revenue. That’s a tighter chain than awareness → ??? → revenue.
You can measure it. You can intervene in it. You can improve it.
But you can win the intent moment and still destroy value. Through margin-eroding discounting to close the sale. Through customer acquisition costs that are never recovered over the lifetime. Through winning demand that doesn’t compound into pricing power. Intent is a better battlefield than awareness. It is not, by itself, a path to economic profit.
That requires one more construct. One that most companies have heard of but almost none have fully operationalized.
Demand spaces.
The unit of strategy is the demand space, not the brand
A demand space is not a customer segment. It is not a channel. It is a defined situation — a specific context in which a real problem arises, options are evaluated, and a decision is made.
What makes demand spaces strategically powerful is that they carry economics. Each space has a specific willingness to pay, a recurrence rate, a trust dynamic, and a set of performance criteria that determine who wins it. When you map those spaces properly, something becomes visible that intent mapping alone never shows you: which demand spaces generate disproportionate economic profit, and why.
Some situations command premium pricing because the cost of a wrong decision is high. B2B workflow software where a failed implementation costs a CIO their job. Medical skincare where a consumer is managing a real dermatological condition. Performance footwear for runners managing injury risk. In each of these, the buyer is not price-optimizing. They are risk-minimizing. That dynamic — high stakes, constrained options, trust as the deciding variable — is what creates pricing power above cost of capital.
Other spaces are high-frequency but structurally low-margin. Winning them costs as much as it returns. The strategic question is never just “can we win this intent moment.” It is “does winning this intent moment, repeatedly, produce compounding economic profit.”
The evidence for this is visible across categories — if you know what you’re looking for.
La Roche-Posay doesn’t win because of storytelling or lifestyle imagery. It wins in a specific moment: a consumer has a skin problem, searches their symptoms, and looks for something credible and clinically proven. Dermatologist endorsements. Problem-solution clarity. In that moment, La Roche-Posay isn’t a brand. It’s the answer to a condition. And because that condition recurs — and because the trust built through resolution compounds — it creates a default position that is extraordinarily difficult and expensive to displace.
Meanwhile, beauty brands outspending it on awareness win attention and lose the decision. More reach. Better campaigns. Lower economic returns.
Hoka didn’t grow by shouting louder than Nike or Adidas. It owned specific high-intent use cases — long-distance running with less fatigue, recovery runs, joint protection — where the performance claim held up under real conditions. Runners with a real problem found a product that resolved it better than anything else. That resolution built trust. That trust built a default. That default built pricing power in a demand space where willingness to pay is high because the cost of the wrong choice is felt in the body.
BYD is doing to legacy auto brands what those brands once did to horses. It doesn’t compete on heritage or mythology. It wins in the moment when a consumer wants a reliable EV at a good price and opens a comparison. Battery technology, range, total cost of ownership — those are the decision criteria. A century of brand equity doesn’t show up in a spec sheet.
In B2B, ServiceNow makes the mechanism almost clinical. It wins because when a CIO needs to fix workflow fragmentation, reduce operational cost, and demonstrate ROI to a board, ServiceNow has the clearest answer to that specific problem. The sale is high-stakes, multi-stakeholder, and outcome-driven. No awareness campaign compensates for a system that doesn’t deliver. And no brand affinity survives a failed implementation.
The causal chain, fully constructed
What these examples share is not just smart intent-based marketing. They share a complete causal architecture that runs from situation to economic outcome:
Demand space identification → intent moment ownership → repeated resolution → trust accumulation → pricing power → economic profit
Each link in that chain is tighter than anything the awareness model ever produced. And critically, each link is measurable. You can observe whether you’re winning the intent moment. You can track whether resolution quality is driving repeat selection. You can measure whether that compounds into willingness to pay above cost of capital.
This is the growth model that replaces the funnel. Not a funnel with better targeting. Not a funnel optimized by AI. A fundamentally different loop: detect intent, resolve it, learn, improve, increase willingness to pay, generate economic profit. Running continuously, across product, pricing, distribution, and brand simultaneously.
The gap most companies haven’t closed
Here’s the honest limitation: most companies have adopted the language of intent and demand spaces without building the financial architecture underneath it.
They’ve stopped talking about awareness metrics and started talking about intent signals. That’s progress. But they haven’t done the harder work — attaching unit economics to each demand space. What does it cost to win this moment? What does the customer generate over their lifetime in this situation? Does that exceed the cost of capital?
Without that work, you’re making better strategic decisions than the awareness-era playbook, but you’re still not optimizing for economic profit specifically. You’re competing in better places without knowing precisely why some places are worth more than others.
The companies that complete this are the ones that treat demand spaces not just as strategic territory to win, but as economic units to underwrite. They build portfolio strategy around coverage of high-value situations. They allocate capital to the moments that compound. They measure growth not by reach or even conversion, but by whether winning a demand space is increasing willingness to pay over time.
That is a different capability than anything marketing has traditionally been asked to build. It requires strategic, financial, and operational functions working from a shared model of where economic profit actually comes from.
Most companies aren’t there yet. They’re still telling better stories, or at best, competing in better intent moments.
The ones that win are building something more precise: a direct, measurable, compounding line between the situations their customers face and the economic profit their business generates.
That line is the new growth engine. And right now, almost nobody has drawn it.
To discuss how these insights apply to your organization, get in touch with our team.