Closing the Measurement Confidence Gap in QSR Media

For quick-service restaurant (QSR) marketers, performance data is everywhere. But certainty about what it means is not.

Between platform metrics, attribution models, and offline sales data, there’s no shortage of signals. The problem is that many of those signals conflict. And in an industry where margins are tight and investment decisions are heavily scrutinized, “directionally positive” isn’t good enough.

This is what I think of as the Measurement Confidence Gap: the space between what the data says is happening and what’s actually driving incremental business outcomes.

For QSR brands, that gap is often wider than it appears.

The Moment Testing Became Essential

We partnered with a top QSR brand to run a series of matched market tests designed to answer a simple but critical question: Should this QSR brand be spending more and expanding beyond a performance-only strategy into a more balanced, full-funnel media mix?

The results were clear and somewhat counterintuitive.

Markets with increased investment and a full-funnel media mix didn’t just maintain performance; they outperformed control markets in a statistically significant way. In one test, the optimized media mix delivered over a 5X return on incremental spend.

More importantly, the results showed that channels previously undervalued by attribution models were actually playing a meaningful role in driving demand.

That was the inflection point. Testing moved from a “nice to have” to a core part of how the brand evaluated media effectiveness.

Why Traditional Measurement Falls Short

Most QSR transactions still happen offline. For most of Chemistry’s dining and QSR clients, offline sales often make up 80%+ of their business. That alone creates a major disconnect between digital media exposure and measurable outcomes.

Layer in always-on demand, overlapping promotions, and external factors like weather, tentpole events, and competitive noise, and attribution becomes even more complicated.

In practice, this often leads to two common issues:

• Over-attribution: Platform-reported metrics (particularly in walled gardens) can overstate performance by claiming credit for conversions that would have happened anyway
• Under-attribution: Last-click models tend to undervalue upper-funnel channels that influence demand but don’t directly capture conversion

We’ve seen both happen at the same time.

In one case, a QSR brand we worked with was spending well below its competitors and almost entirely focused on performance media. Lower-funnel channels looked highly efficient, while upper-funnel investments in channels like CTV appeared underwhelming on paper. The data suggested doubling down on performance and cutting awareness.

Instead, we tested.