Marketing teams devote huge amounts of time to performance optimization. What’s the ideal CPA? What should our ROAS target be? How big should the budget be? These questions feel practical and concrete. They’re easy to measure and give teams something specific to focus on. But they overlook the core decision. Budgets usually begin as a fixed pot of money to optimize against. That’s common in less mature programs. However, as more data accumulates, this mindset needs to shift. Marketing spend is one of the main ways a company deploys capital. If it isn’t treated as a capital allocation choice, teams end up making decisions that don’t match the returns that capital is expected to generate.
As spend grows, the pattern is fairly predictable: Revenue climbs. Efficiency drops. Contribution profit rises for a while, then eventually declines. Each extra dollar produces less than the one before it. This isn’t controversial. Most teams have seen this in their own numbers, even if they haven’t modeled it formally. The real breakdown comes when translating these dynamics into actual decisions.
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The same underlying data can justify multiple “right” answers. Take a simple example: as spend increases, performance follows a standard diminishing-returns curve. Initial dollars are extremely efficient. Later dollars still add growth, but at a slower pace. This is where many teams stop their analysis. In doing so, they skip two essential steps: Converting to marginal ROAS. Carrying that through to contribution…