You know that feeling. You spend days, weeks, building something beautiful. A model that predicts customer lifetime value with stunning accuracy. You present it to the CMO. They shrug. “Interesting,” they say, and move on. Your work, your masterpiece, reduced to a footnote.
I’ve been there. I built a CLV model that was mathematically flawless. But the CMO didn’t care. I was furious. Then I realized something: “The CMO’s shrug is not a sign of ignorance. It’s a sign of intelligence.” They are playing a different game, and my model didn’t help them win.
Here’s the truth we analysts hate to admit: your model is a political object. It reallocates resources from current customers to future ones. It asks the CMO to sacrifice short-term wins for long-term gains. But the CMO’s bonus is tied to this quarter, not next decade. They are rationally protecting their budget, their power, their job. “A CLV model that doesn’t align with the decision-maker’s incentives is an academic exercise, not a business tool.”
You’ve probably noticed that the best analytics often get ignored. It’s not because the data is wrong. It’s because you presented it as a critique, not a weapon. The CMO doesn’t need a smarter model. They need a model that makes them look smart in front of the CEO. “Frame your analysis as a tool that helps the CMO win an internal game, and suddenly they will listen.”
I learned this the hard way. After the shrug, I went back and rebuilt my model with a different lens. Instead of asking “Which customers are most valuable?” I asked “Which customers will help the CMO hit their quarterly targets?” The numbers changed. The presentation changed. The CMO didn’t shrug. They said, “This is exactly what I needed.”
Stop writing from the analyst’s perspective. Write from the CMO’s perspective. Use their language, their frustrations. Show them how your model helps them win the budget battle, not how it proves they are wrong. “Neutrality is death in a corporate war. Take a side: the CMO’s side.”
I’m not saying you should fudge the numbers. I’m saying you should sell the story. The best model in the world is worthless if it doesn’t change a decision. The CMO’s shrug is the real metric of failure, not the model’s predictive accuracy. “Your job is not to build the perfect model. Your job is to make the decision-maker act on it.”
So next time you feel that sting of dismissal, ask yourself: Did I understand their incentives? Did I frame this as a solution to their problem? Or did I just prove I’m smart? The CMO is not your enemy. They are your customer. Treat them like one.
FAQ
Q: Isn't the CMO just being short-sighted by ignoring a long-term model?
A: Short-sighted? Maybe. But they are rationally responding to their incentives. Most CMOs are evaluated on quarterly metrics. A model that sacrifices this quarter for future value is a threat to their bonus, not a gift. Blame the system, not the person.
Q: What should analysts do differently to get their models adopted?
A: Stop leading with the math. Start by understanding the decision-maker's biggest pain point. Ask: 'What keeps them up at night?' Then frame your model as a solution to that specific problem. Use their language, not your jargon. And always, always show them how your model helps them win.
Q: Maybe the model is actually useless if it doesn't capture the CMO's reality?
A: Exactly. Predictive accuracy is irrelevant if the model doesn't account for organizational constraints. The best model is one that acknowledges the political landscape—the budget cycles, the metric targets, the internal rivalries. If your model ignores those, it's not a model; it's a fantasy.