The Question That Loses Every Brand Budget Conversation
There's a meeting that happens at every B2B company that has ever spent real money on brand. The CMO walks into the Q3 review having spent the last nine months running a real brand campaign - out-of-home in Atlanta, streaming ads in Minneapolis, a partnership with a national publication. The kind of bet you only make when you actually believe in the long game.
Then the CFO Questions
"What's the pipeline impact of brand spend?"
Everyone in the room knew it was coming. And the honest answer - the one that takes courage to say out loud - is that “we can't say cleanly”.
OOH of Spotify from 2016
Why the Answer Is Always Incomplete
Brand works, but because every attribution model in the modern marketing stack starts measuring after someone has already entered the system the answer is always incomplete.
Brand impressions happen before any of that, and the dashboard was never built to see them. So in the budget conversation, they don't exist.
That's how brand budgets get cut every single quarter at companies where brand is doing more than half the work. It is also why marketing has spent the better part of a decade losing the argument it should be winning.
The Marketing Leader Who Refused to Play That Game
I met a senior marketing leader at one of the most ambitious AI platforms in the enterprise with $7B+ valuation, in one of the most brutally competitive categories in B2B. She had just made a real bet on brand: out-of-home media in Minneapolis and Atlanta, streaming ads, a media partnership, executive roundtables. Real conviction behind the spend.
She wasn't naive about the measurement problem. She did exactly what a rigorous person does - built baselines before the campaign launched, running geographic lift tests, tracking branded search and direct traffic from target regions, looking for signal in the noise with the imperfect tools available.
Here's how she described the impossible part of the job: "The biggest question for us is on kind of the out of home media buy side... just making sure that we can show in some way that like the spend that we're doing in these cities specifically in this out of home is actually influencing the rest of our pipeline generation."
And then the line that changed how I think about this whole problem.
"It was getting tricky to tie that to first-touch pipeline and it's not supposed to."
Her response that is is not supposed to be hard actually told me that attribution was never built for brand, it was built for clicks, and we have spent 15 years pretending those are the same problem.
Step Negative Three
"If someone just saw one of our billboards, that's like step negative three of this whole process. And this process is already very long."
By the time someone Googles your product, clicks an ad, fills out a form, and lands in your CRM, you're already several steps in. The impression that created the inclination to search in the first place is at step negative three.
Your attribution model has never met any of the people at steps negative three, two, or one. It picks up the story at step one and grades marketing's performance based on what happened from there onwards - which is why the budget conversation is rigged before it begins. Every channel that operates at step negative three is invisible in your dashboard, and invisible channels lose budget every single time the quarter gets tight.
The CMOs worth watching have figured out that the real job isn't getting better at first-touch attribution. It's building the infrastructure to see what was happening before the system started watching.
What Changed When They Finally Saw It
When this team started, their LinkedIn lead form completion rates told a story they couldn't do anything with.
10% | 27% | 30% |
|---|---|---|
Cold Audience - Start Zero prior digital exposure to the brand. Never retargeted, never visited the website | Warmed Audience - Start Reached through TOFU tactics: thought leader ads and content syndication. | Cold Audience - 18 Months Later 3x the original rate. Higher than the warmed audience had been converting at when this all began. |
That is what happens when 18 months of consistent brand investment compounds across a market and the people who eventually fill out your form arrive having already absorbed the brand in the periphery of their attention.
What the New Infrastructure Did
Tied historical brand exposure to current pipeline behaviour - a billboard impression from 9 months ago connected to an account that closed last week
Ran incrementality testing using geographic and temporal control groups to measure whether brand spend was creating lift versus just correlating with it
Modelled the cumulative compounding effect of brand exposure over time - the thing first-touch attribution is structurally incapable of measuring
The Critical Insight
Brand spend doesn't earn its ROI in three quarters. It compounds over 12-18 months.
If you measure it on a quarterly conversion window, you will always conclude it doesn't work and cut it before it has a chance to.
The right measurement infrastructure doesn't just show you what brand did. It shows you the time horizon brand actually operates on.
The Spend That Never Sees Pipeline Again
The same logic runs through their LinkedIn thought leader ads. Thought leader ads are the spend marketing justifies last and loses first. They don't source pipeline, they sit at the top of a funnel that takes months to convert, and in a first-touch model they are simply invisible.
In a First-Touch World
The thought leader ad that ran 6 months ago is invisible. When the quarter tightens, it's gone. The spend disappears the moment the quarter ends, and no one can defend a number that doesn't exist on a slide.
In a Multi-Touch World
That same ad starts showing up in deals that closed last week - not as the source, but as the touchpoint that warmed the account before anyone reached out to it. Before the SDR call. Before the form fill.
"If we were to spend that in just a first-touch model, we would probably never see that pipeline ever again."
In a multi-touch world that can see what happened at step negative three, the thought leader ad turns out to be the reason the pipeline happened at all. The influence layer made it visible - and that visibility is the difference between a budget that survives the next AOP cycle and one that doesn't.
How to Actually Measure Brand
The answer is not to stop measuring. It is to build measurement infrastructure that reaches further back than step one.
1. Set the Baseline Before You Spend
Lift analysis is meaningless if you don't know what baseline looked like. Web traffic from target regions, branded search volume, direct traffic, lead form completion rates segmented by audience temperature - month over month, in the six months before launch. Skip this and you're doing archaeology instead of science.
2. Treat Geography as Your Control Group
Out-of-home is inherently geographic. The cities where you ran billboards are your treatment markets and every comparable city where you didn't is a natural control. The question isn't "did pipeline go up?" - it's "did pipeline go up more in the markets where we spent than in the ones where we didn't?" That's a defensible signal in a budget conversation.
3. Track Audience Temperature, Not Just Conversions
The 10→27→30 story took eighteen months. If you measure brand on a quarterly window, you will always conclude it doesn't work, because brand operates on a different clock than demand gen. Build dashboards that segment your funnel by exposure level and watch how cold-to-warm conversion rates move over the longer time horizons brand actually compounds on.
4. Use Marketing Mix Modelling for What Can't Be Attributed Directly
MMM uses aggregate spend and outcome data to model channel contribution over time - no UTMs required. It's not perfect, but statistical modelling is the language CFOs respect when first-touch attribution falls apart. It's the difference between defending a brand budget with conviction and defending it with a story.
Stop Defending the Spend. Show Them the Maths They Can't See.
The CMOs who will compound a structural advantage are the ones who built the measurement infrastructure to prove what brand was doing before anyone at the executive table demanded the answer. They would have:
Cold leads converting at 3x | Thought leader ads surfacing in closed deals 6 months later | Billboards connecting to pipeline progression |
|---|---|---|
After 18 months of brand work - invisible in first-touch, undeniable in the new infrastructure. | As the warmth that made the deal possible. | Through baseline lift, geographic control groups, and incrementality testing. |
The CFO is not the enemy here. But the dashboard is, as long as marketing keeps walking into the budget meeting with a measurement system that starts at step one, brand will keep losing the argument it should be winning. The way out is better infrastructure.
Step negative three is where your best work is happening right now. Build the system that proves it.
Know a CMO fighting this same battle? Reply to this email. I want to hear what they are measuring and how.
P.S. If you're walking into the AOP season with a brand budget you can't justify yet, reach out to me at [email protected].