Incrementality: how to tell if ads are actually driving growth

Platform-reported ROAS can overstate impact. Learn what incrementality means, when it matters, and practical ways to test it.

Updated 2026-01-23

Definition

Incrementality asks: what would have happened without ads- The incremental lift is the difference between outcomes with ads and outcomes in a comparable no-ads baseline.

Why ROAS can mislead

  • Attribution often claims credit for conversions that would have happened anyway.
  • Retargeting can inflate ROAS by capturing already-intent customers.
  • Cross-channel effects (brand, email, organic) make last-click comparisons noisy.

Common incrementality tests

  • Geo holdout: pause ads in matched regions and compare outcomes.
  • Audience split: randomize a subset of eligible users into a holdout group.
  • Budget experiments: step changes in spend and measure response curves.

Practical checklist

  • Pick a primary outcome (profit, conversions, or contribution margin).
  • Run the test long enough to smooth weekly seasonality.
  • Validate that holdout and exposed groups are comparable.
  • Use the result to set ROAS/CPA targets and scale rules.

Test design QA

  • Confirm tracking parity: events, values, and attribution windows match.
  • Lock creative and targeting during the test window.
  • Check for external shocks (promo, pricing, PR) before concluding.
  • Validate conversion lag so results are not premature.

FAQ

Do I need incrementality tests if I'm small-
Usually not. Early on, focus on creative-market fit and basic unit economics. Incrementality becomes more valuable as spend grows and attribution bias increases.
What metric should I optimize for in a test-
If you can, optimize for contribution margin or profit. If not, use a proxy you trust (e.g., first purchases) and adjust using margin assumptions.

More in paid ads

GRR (Gross Revenue Retention): definition, formula, how to calculate
Incrementality lift: how to compute incremental ROAS from holdouts