Demand Generation vs Demand Capture

Two different jobs

Marketing can do two structurally different jobs, and the distinction decides how it should be measured. George Bonaci, who leads the growth function at Eric Glyman's company Ramp, splits them cleanly. Demand capture, the direct-response job, reaches people who already know they have a problem and makes them aware that a particular product exists. This is what most channels optimize first, because it converts and it measures. Demand generation, the harder job, reaches people who do not realize they have a problem at all. Its message is not "try this product" but "this problem exists, and there is a better way."¹

Bonaci treats the second as the more valuable and more difficult form of brand marketing, because it opens a part of the market that traditional channels cannot reach. Capture competes for demand that already exists; generation expands the pool.

When brand earns its budget

The recurring objection to demand generation is that it resists attribution. Bonaci concedes the point rather than arguing around it. He describes changing his mind on brand investment over the prior year, crediting the enterprise-software company Gong, which funded brand work he describes as "completely unmeasurable, even something we'd never be able to measure," and which surfaced later in the size of their inbound channel.¹ The rule he draws from it is bounded on both ends. Brand makes no sense for a resource-poor early startup, but past a certain scale, refusing to invest in it because it cannot be measured will cost the company later.

The trigger he names is saturation. Bonaci echoes the growth leaders at Revolut, whose own shift was admitting they had "no idea what it does to revenue" and funding brand anyway.¹ Brand is worth funding when the core direct-response channels begin to hit their ceiling, the point where saturating the winning channel stops paying incremental returns. At that moment the long-horizon slice of a growth portfolio of bets becomes the rational place to spend.

How it fits the other brand theories

The framework reconciles two views of brand that otherwise seem to conflict. In brand as familiarity priming, brand's job is to install enough ambient recognition that a cold outreach gets answered, a capture-side assist. Demand generation adds the other half: brand can create demand that did not previously exist. Bonaci does not treat these as rivals so much as two functions of the same spend, one that helps close demand you were already chasing and one that manufactures new demand.

Because demand generation's job is to expand the market rather than convert a known buyer, Bonaci argues it should not be measured like direct response at all. Demanding tight attribution from it will starve it, since its returns arrive late and diffusely.¹ The corollary is a discipline about when to spend: brand only earns its unmeasurable budget at scale and as a deliberate long-horizon allocation, never as an early-stage default.

The unresolved part

Bonaci is candid that the case rests on correlation rather than proof. Gong's unmeasurable brand work "showed up in inbound," but that is an association, not an attribution, and it reproduces the same measurement problem he starts from.¹ He offers a clear answer to when to invest, after direct-response saturation and at scale, but no protocol for sizing the spend or evaluating whether it worked. Demand generation also presumes the marketer can credibly name a latent problem a buyer has not noticed. Done poorly, that is simply expensive awareness with no path to conversion, which leaves the framework strongest as a diagnosis of what brand is for and weakest as a method for running it.