Latest / The CMO Podcast with Fexingo: Marketing Leadership, Budgets, and Executive Strategy / How CMOs Are Killing The Marketing Attribution Model
Transcript
- Lucas: If you have been tracking the quarterly earnings calls for any mid-cap technology company over the last eighteen months, there is one phrase that keeps popping up, usually right before the guidance gets cut. It is not 'headwinds' or 'macro uncertainty.' It is 'diminishing returns on paid acquisition.' Luna: Right, and what always follows that sentence is a pivot toward brand building, which feels like a retrospective apology for five years of ignoring it. Lucas: Exactly. And the root cause is almost always the same: the catastrophic failure of last-click attribution. For the better part of the decade, most B2B and even B2C companies operated under a simple, seductive lie. They believed that the digital channel which received the final click before conversion was the primary driver of revenue. In reality, it was just the closer, not the opener. Luna: It’s the difference between recognizing the person who hands you the coffee and the barista who actually made it because they were too busy watching the screen. Lucas: That is a brilliant way to put it, Luna. Let me give you a concrete example from a fictional but highly representative SaaS company we’ll call DataFlow Systems. In twenty twenty-three, DataFlow spent forty percent of its marketing budget on branded search and content, and sixty percent on broad performance channels like LinkedIn ads and programmatic display. Their attribution model was strictly last-click. Because performance ads often close deals that were warmed up by earlier content, DataFlow saw massive ROI numbers in those lower funnel campaigns. Luna: So they shifted everything to performance, assuming that was where the money was working hardest. Lucas: Precisely. By early twenty twenty-five, they had slashed their brand spend by half. The immediate result was a spike in short-term conversions, which looked great on the dashboard. But what happened next is what every CMO should be terrified of: the cost per lead began to climb exponentially. Why? Because they had burned through the easy to convert audience. Without the brand engine running at the top of the funnel to create recognition and trust, the performance channels had nothing to catch. They were trying to sell to strangers instead of leads. Luna: It’s like trying to fish in a pond that you’ve already drained with your previous nets, expecting new fish to magically appear. Lucas: Or worse, the water is toxic because you removed the ecosystem that kept it healthy. The problem isn’t just theoretical; it is baked into the architecture of most CRM platforms. When a sales rep closes a deal, they select the source. If they pick 'LinkedIn Ad,' the system rewards that ad. But did that rep mention the white paper the prospect downloaded three weeks ago? Did they reference the webinar the prospect attended? Usually, no. The data is lost, and the budget is misallocated. Luna: So the feedback loop is broken from day one. You’re optimizing for the wrong metric because the input data is incomplete. Lucas: Completely. And this brings us to the current crisis in marketing leadership. We are seeing a wave of CMOs who are either doubling down on these flawed models or panicking when the numbers stop making sense. The smartest ones are moving toward multi-touch attribution, but implementing that is harder than it sounds. It requires integrating data from email, social, web analytics, and sales notes into a single view. Most companies don’t have the tech stack for that. Luna: Which means they’re stuck choosing between a messy truth and a clean lie. And historically, executives prefer the clean lie because it looks good in the boardroom. Lucas: You nailed it. The clean lie is easy to present. 'Look, our cost per acquisition dropped by fifteen percent.' The messy truth is, 'Our overall pipeline quality has degraded because we stopped nurturing prospects.' One number is sexy; the other is structural. And structural problems take time to fix. Luna: But once you acknowledge the structural issue, how do you actually justify the budget shift back to brand without sounding like you’re admitting defeat? Lucas: That is the million-dollar question, literally. The best CMOs I talk to are using a concept called 'incrementality testing.' Instead of guessing which channel works, they run controlled experiments. They suppress ads in certain geographic markets or for certain user segments and measure the drop in conversions. If suppressing brand ads causes a disproportionate drop in sales compared to suppressing performance ads, you have proof that brand is doing heavy lifting. Luna: So you aren’t asking for budget based on gut feeling; you’re asking for it based on experimental evidence of necessity. Lucas: Exactly. It shifts the conversation from 'I want to spend more on TV ads' to 'Our data shows that removing this channel reduces total revenue by twelve percent.' That is language the CFO understands. It treats marketing as a variable in an equation, not an art project. Luna: And it forces the organization to admit that the sales team’s closed-won tags are lying about where customers came from. Lucas: Always. Sales reps will tag whatever makes them look efficient. If they get a call from someone who found them via Google, they might tag 'Organic Search' even if the person clicked a sponsored link first. It’s human nature. We want credit. We want to feel like heroes. But business strategy cannot be built on heroics. Luna: So the real skill for a modern CMO is being the translator between the messy reality of human behavior and the rigid demands of financial reporting. Lucas: Yes. And that is why we are seeing a rise in hybrid roles, like Chief Revenue Officers who oversee both marketing and sales. If the person setting the budget also manages the closers, they see the full picture. They know that a cold call generated by a brand campaign is worth ten times more than a warm lead from a cheap PPC click. Alignment solves the attribution problem because the incentive structure changes. Luna: It removes the silo. When marketing and sales are fighting over whose fault it is when leads are bad, nobody cares about the truth. When they are partners, they care about the source. Lucas: Well said. Now, before we dive deeper into the technical side of incrementality testing, I want to take a quick moment to thank you for listening. If these conversations about marketing strategy and executive decision-making have been valuable to your work, and if it was worth a coffee to you, that's the link — buy me a coffee dot com slash fexingo — that's F. E. X. I. N. G. O. Your support helps keep this research independent and ad-free. Luna: Yeah, it really does make a difference. It allows us to dig into these case studies without rushing to fill airtime with sponsors. Lucas: Thanks for that. So, let’s get back to the mechanics. How do you actually implement incrementality testing without burning through your entire annual budget in a week? The key is starting small. You don’t need to test national TV spots. You can start with geo-lift tests in mid-sized cities. Luna: Like running ads in Austin but not in Dallas, then comparing the sales data between the two? Lucas: Exactly. Keep the demographics, the product offerings, and the pricing identical. Change only the exposure to your marketing message. Then, wait for a full quarter to pass. Sales cycles vary wildly by industry, so you need enough time for the delayed effects of brand awareness to materialize in actual revenue. Luna: Patience is the enemy of the performance marketer, who wants results yesterday. But it is the friend of the strategist. Lucas: Absolutely. And here is the tricky part: you have to account for external factors. Maybe Austin had a local trade show during that quarter. Maybe Dallas had a competitor promotion. You need to control for those variables. This is where marketing intelligence teams, or M&A departments, come in. They are becoming the unsung heroes of the modern C-suite. Luna: I love that term, M&A departments. Not mergers and acquisitions, but Marketing and Analytics. It’s a necessary evolution. Lucas: It is. And frankly, it’s the only way to survive the next five years. As privacy regulations tighten and third-party cookies disappear, the data we rely on for last-click attribution is going to vanish completely. If you haven’t built a foundation of direct response and owned media, you are flying blind. Luna: So the companies that are investing in email lists, community building, and direct relationships right now are the ones that will still have a signal when the noise fades out. Lucas: Precisely. Owned audiences are the only asset class that cannot be de-platformed or blocked by a tracker update. It’s boring, it’s slow, and it is incredibly resilient. Performance marketing is volatile; brand building is durable. The winners will be the ones who balance both. Luna: Which goes back to that original point about the CEO’s fear of 'brand' being fluffy. It’s not fluffy; it’s insurance. Lucas: It is insurance against irrelevance. If no one knows who you are, no one will click your ad, no matter how targeted it is. You are shouting into a void. And eventually, the cost of filling that void becomes unsustainable. Luna: So the lesson for listeners today is to audit your own attribution models. Ask yourself: am I measuring the click, or am I measuring the outcome? Lucas: And if you can’t answer that confidently, you might be funding a vanity metric while starving your growth engine. It’s a hard conversation to have with the board, but it is the most important one you will have this year. Luna: Definitely. Better to have an uncomfortable truth than a comfortable illusion. Lucas: Right. So, as we wrap up, I want to leave you with a thought. When you look at your marketing plan for next quarter, what percentage of your budget is allocated to proving past success versus creating future demand? And is that ratio sustainable? Luna: That is a question worth sitting with. Because the answer might tell you more about your company’s future than any dashboard ever could. Lucas: Indeed. Thanks for listening, Luna. See you next time.