Marketing loves certainty. Dashboards, funnels, ROAS targets, AI agents promising optimization at scale—all designed to give us the comforting sense that if we just pull the right lever, growth will follow.
According to Paul Ruscoe, that belief is not just wrong. It’s actively harmful.
In a recent Marketing Accountability Council Reality Check conversation, Ruscoe—an advertising veteran with more than 20 years across agency and client-side roles—offered a bracing reminder: marketing does not work like a vending machine. And the harder we try to force it to, the worse our decisions become.
The Control Fallacy at the Heart of Modern Marketing
Nearly every major marketing mistake, Paul argues, traces back to a single misconception: the belief that we can control consumer behavior.
“The funnel, retargeting, performance media as a silver bullet—these are all expressions of the same desire,” says Paul. “Control over things we fundamentally don’t control.”
The funnel itself, often treated as gospel, was never designed as a scientific model of human behavior. It was a sales trope from the late 19th century—useful as metaphor, dangerous when mistaken for reality.
When marketers treat consumer behavior as a predictable process instead of a complex system, they start making decisions that look precise but are deeply flawed.
Marketing, Paul suggests, is much closer to running a national economy than managing a household budget. Too many variables, too many feedback loops, and far too much uncertainty for simple cause-and-effect thinking.
What Marketing Actually Does (And Why That Matters)
One of Paul’s most important reframes is this: advertising is primarily defensive.
Markets tend to be stable, not because marketing doesn’t work, but because everyone is spending roughly in line with their existing market share. Good advertising doesn’t magically create explosive growth. More often, it protects the share you already have.
Make bad decisions—over-allocate to short-term performance tactics, burn share of voice, chase immediate ROI—and you risk losing ground. Make better decisions, and you maintain equilibrium. Growth usually comes slowly, or when competitors make catastrophic mistakes.
This reframing matters because it forces a different kind of accountability. Instead of asking, “Did this campaign pay for itself in 90 days?” the better question becomes: “Are we protecting and increasing the probability of being chosen over time?”
Why AI Won’t Save Bad Thinking
AI agents and automated platforms promise speed, efficiency, and optimization. Paul isn’t anti-technology—but he is deeply skeptical of how it’s being deployed.
“If agents are trained on how we currently plan media,” he warns, “they’ll just help us make bad decisions faster.”
Performance Max, for example, can deliver impressive platform-level ROAS—often by targeting a tiny sliver of high-intent buyers who were already close to conversion. The result looks efficient but ignores the vast majority of future buyers who aren’t in-market yet.
Humans don’t suddenly change how they decide because better technology exists. Decision-making is slow, heuristic-driven, and shaped by memory. No algorithm can shortcut that reality.
Accountability Without Fantasy Metrics
So if ROAS isn’t the answer, what should marketers be accountable for?
Paul doesn’t argue for abandoning measurement—he argues for measuring the right things.
Short-term revenue effects often reflect investments made months or years earlier. Expecting clean causality inside tight reporting windows leads to false confidence and bad tradeoffs. Instead, marketers should look for behavioral signals that reflect real progress:
Are more people searching for the brand?
Are branded search costs declining as demand increases?
Is share of voice holding steady relative to share of market?
Are we easier to find and quicker to mind?
These aren’t soft metrics. They’re indicators that marketing is doing its real job: maintaining memory, availability, and future choice probability.
The Real Job of the CMO
Perhaps the most uncomfortable takeaway is this: marketers shouldn’t be trying to “speak the language of the CFO.”
That instinct, Paul argues, is backwards.
“When we mimic finance language, we become more short-term,” says Paul. “The onus is on marketing to educate finance—not the other way around.”
Advertising is a probabilistic function. It creates memory structures, refreshes them over time, and nudges likelihood—not certainty. True accountability comes from helping leadership understand those dynamics, not pretending marketing operates with the precision of capital expenditure.
Fewer Illusions, Better Decisions
At the end of the chat, Paul debuts a GTM tool he’s designing called “The Machine” which is trained on marketing effectiveness and real research.
While the demo is certainly intriguing, and we can’t wait to test out this tech, Paul isn’t offering a silver bullet—and that’s the point. Marketing works within guardrails, not guarantees. Growth has ceilings and floors shaped by category dynamics, budgets, and human behavior.
If you use technology or any tool within these parameters, you’ll have a better chance of real success.
The marketers who perform best aren’t the ones chasing the latest terminology or tools. They’re the ones willing to let go of comforting illusions, challenge bad assumptions, and operate honestly inside complexity.
In an industry obsessed with optimization, that might be the most accountable stance of all.
