The strategy serious brands run when they're done fighting for the same 5%.
Brand + performance, built as one system, measured to the dollar.
Performance marketing isn't broken — it's incomplete. It finds the ~5% of your audience who are in-market right now, and does it well. The other 95% aren't ready yet: forming preferences, deciding who they'll trust when they are. The brands that reach that 95% — and measure the return — don't just spend more. They compound. Here's the mechanism, the business case, and how we prove it.
Performance fights over 5% of your market. Brand reaches the other 95%.
At any moment only about 5% of your category is in-market and ready to buy. Direct response competes — with every rival — for that sliver. The other 95% aren't ready yet; they're forming the preferences that decide who they'll trust when they are. Reach them first and you compound. Ignore them and you pay more each quarter for the same shrinking 5%.
Why DR-only gets expensive over time.
Direct response targets buyers who are actively searching and ready to convert. That audience is real, finite, and shared — by you and every competitor bidding on the same keywords, segments, and lookalikes.
As a category gets more competitive, more dollars chase the same in-market pool. The cost of reaching those buyers rises, ROAS slips, and because the attribution window only shows last-click, the dashboard argues against the one thing that would fix it: reaching people before they're in market.
The result is a ceiling. You can optimize to a local maximum, but you can't spend past it — the incremental buyer you need isn't in the auction, because they aren't a buyer yet.
Performance marketing harvests demand. Brand marketing creates it. You need both — run as one system.
No trough. No short-term hit. Here's why.
The most common objection: "we can't pull money out of what's working." That assumes brand spend is additive — a new line item on top of the budget. It isn't.
We start with an efficiency audit. Every account has spend working hard and spend working poorly — campaigns, audiences, and channels sitting at or past the point of diminishing returns. That marginal spend is the funding source for brand.
When you reallocate rather than add, there's no revenue gap to absorb. You're not pulling from efficient spend; you're redirecting dollars that were already producing weak returns. The immediate P&L impact is close to zero — and the medium-term impact is a rising baseline.
A premium denim brand ran this model. When they reallocated their least-efficient performance spend into brand, new-customer revenue didn't dip — it accelerated. The "trough of despair" is a risk of adding brand spend on top; it is not a property of intelligent reallocation.
The reverberation effect: one investment cascades.
Brand investment doesn't produce a single conversion — it shifts the underlying demand environment, and that shift touches every downstream metric. It's not a one-time lift; it compounds quarter over quarter. The long-term effect is well-documented in the marketing-science literature (Les Binet & Peter Field's work on long- vs. short-term marketing); our contribution is measuring it, for your brand, in dollars.
Brand Value rises. The investment reaches people who weren't yet buyers. Over 4–8 weeks a measurable signal appears in baseline revenue — before most attribution tools see anything.
Paid media gets more efficient. When more demand is brand-driven, the performance budget works harder — you're closing buyers who already know you instead of buying cold attention.
Contribution margin expands. More efficient acquisition at higher order value = better unit economics — which funds the next cycle of brand investment.
The cycle repeats. Each rotation makes the next easier. It's why brand-mature businesses grow at lower CAC than brand-new ones — and why the gap widens over time, not narrows.
We built the measurement that didn't exist.
Brand Value = the dollar amount of future incremental revenue your brand-building will generate. A Bayesian model, validated by causal geo-holdouts, defensible to a CFO. For most of brand marketing's history "brand value" meant awareness scores and share of voice — proxies that describe the ad exposure, not the revenue outcome. We built a model to close that gap.
When Brand Value rises, baseline revenue follows. When it flattens, the model flags the risk before the income statement does.
Built by Chris Dolan (PhD Statistics, Columbia) & Tom Montgomery, with collaborators from Shopify, Amazon, Google, and Uber.
Predict before you spend. See the revenue impact of a brand campaign before you run it.
Validate after. Confirm the lift against a holdout baseline — causal, not correlational.
Report in dollars. Brand ROI a CFO or board can act on — not awareness points.
See the reallocation first. Model the effect of shifting marginal spend before you commit.
Attribution tools measure the past and don't predict. Incrementality tests measure one campaign and don't aggregate. The Brand Value model does both — tells you where you're going before you get there, and verifies you got there once you did. Nothing like it existed.
Brand used to be a feeling. Now it's a number.
When you can say "this brand investment has a predicted yield of $X over the next two quarters, validated by holdout," brand stops being a line item finance tolerates — and becomes a lever finance understands.
This isn't for everyone. Here's who it's for.
The system produces outsized returns for a specific profile — and we'll tell you honestly if you're not it.
Works best for brands that…
- Have a genuine product story — a reason to exist beyond price and convenience.
- Are past initial product-market fit and feeling a plateau in paid-acquisition efficiency.
- Have leadership willing to optimize for contribution margin over 12 months, not just next quarter's ROAS.
- Compete in a category where brand trust is a real purchase driver (health, premium apparel, consumables, lifestyle).
- Are large enough to run a clean holdout — established consumer brands, typically $20M+.
Not the right fit if you…
- Need to optimize for immediate liquidity above all else.
- Compete purely on price with no brand differentiation.
- Aren't willing to adopt a measurement framework that answers a different question than your current attribution.
On the fence? An efficiency audit is the fastest way to find out — we'll show you what your least-efficient spend is worth and what the model predicts. If the numbers don't support moving forward, we'll say so.
The hard months are where most brands quit too early.
The #1 reason brand investment fails isn't the strategy — it's losing conviction when the platform dashboard looks slow. We've sat through those reads ourselves. This is what founder-level partnership actually means.
Soft months. We look for early contribution-margin proof and protect near-term business health — keeping the math visible from week one, so a slow dashboard month doesn't trigger the wrong decision.
Board translation. We turn brand spend into the language your CFO and board act on — incremental revenue, contribution margin, and baseline demand — not awareness points.
False starts avoided. Brand tests run too small, dashboards that reward the wrong behavior, the right long-term move that looks wrong in the short-term report — we made those mistakes on our own money. You don't have to.
The upside is compounding profit growth you can defend to your CFO.
Everything here is a claim about a model that works. The next step is running the numbers for your business — your spend profile, your efficiency curve, your brand-value baseline. That starts with a conversation.
No commitment. We'll tell you whether it makes sense before we propose anything.