Marketing has a measurement problem that most brands are ignoring

Trevor Testwuide, CEO and co-founder, Measured
The modern consumer today discovers a brand on TikTok, asks an AI assistant for a second opinion, compares prices on a marketplace and finally buys through a retail media network while filling their grocery cart. Every platform in that chain will claim full credit for the sale — most of them will be wrong, and misallocating budget based on that fiction is leaving real revenue on the table.
A structural incentive problem baked into how platforms report performance has quietly become one of the most expensive habits in retail. What looks like marketing ROI on a spreadsheet is often something closer to a loyalty tax: money spent recapturing customers who were already going to buy.
The framework hasn’t kept up
Traditional last-touch and platform-reported models were built for a simpler era. They made sense when the path to purchase was short and the number of channels was manageable. Neither of those things is true anymore, and what remains is a measurement framework that systematically rewards proximity to the checkout over actual influence on the decision, training teams to celebrate the metric rather than interrogate it.
What incrementality actually measures
Incrementality testing fixes this problem. By comparing consumers who were exposed to an ad against a matched control group who weren’t, brands can isolate the actual causal lift a campaign delivered. The core question it answers: if that ad had never run, would those customers still have purchased? If the control group converts at nearly the same rate as the exposed group, the campaign didn’t generate demand; it generated wasted spend.
As retail media networks proliferate, social commerce embeds checkout into the content feed, and AI-driven discovery tools reshape how consumers find products, the gap between what platforms claim and what’s actually happening in the market keeps widening. Brands end up paying for the same customer multiple times, across multiple channels, with each platform presenting its own independent proof of credit.
Why incrementality comes with some internal obstacles
Making the shift to incrementality-calibrated metrics requires dismantling how credit is assigned internally. Reported ROAS will fall when organic conversions are stripped out, agencies will push back and internal channel teams whose performance reviews are tied to siloed KPIs will read these tests as an indictment. In some cases, they are — a multi-million-dollar campaign that shows zero incremental lift isn’t something to bury; it’s information the business needed.
When the paid search team and the social team are both claiming the same conversion, the real competition isn’t for customers, it’s for budget. Moving to incrementality means restructuring incentives around enterprise-level growth rather than channel-level metrics, and redefining what a win looks like. Celebrating the holdout test that exposes a non-performing channel takes more discipline than celebrating a strong ROAS number, but it produces better decisions over time.
Clarity is the return on investment
Brands that make this transition don’t lose sales; they gain clarity. Budgets flowing to channels that were recapturing existing demand can be redirected toward what actually drives new customers: product innovation, audience expansion and upper-funnel investment that has been underfunded for years. The goal is to stop paying for demand brands already have and redirect that capital toward growth that isn’t yet guaranteed.
Sponsored by Measured