Incrementality

Measuring the true causal impact of advertising by determining which conversions would not have happened without ad exposure.

Average Lift
15-40%
Test Duration
2-4 weeks
Min Sample
10K users

What is Incrementality?

Incrementality measures whether your advertising actually caused conversions, or whether those users would have converted anyway. It answers the question: "What additional value did my ad spend generate that wouldn't have happened organically?"

Traditional attribution gives credit to ads that users saw before converting, but this doesn't prove the ad influenced the decision. Incrementality testing uses controlled experiments to measure true causal impact.

Incrementality Formula

Incremental Lift = (Test Group CVR - Control Group CVR) ÷ Control Group CVR × 100

Why Incrementality Matters

Incrementality Testing Methods

MethodHow It WorksBest For
Geo-Split TestCompare regions with/without adsLarge-scale channel tests
User HoldoutRandomly exclude users from seeing adsRetargeting, specific audiences
Ghost AdsTrack would-be ad exposures without showing adsDisplay, programmatic
Conversion LiftPlatform-provided holdout testFacebook, Google campaigns
PSA TestShow public service ads to control groupBrand campaigns

Running an Incrementality Test

  1. Define Hypothesis: What do you want to learn?
  2. Select Method: Choose appropriate test type
  3. Determine Sample Size: Ensure statistical significance
  4. Set Duration: Typically 2-4 weeks minimum
  5. Create Control: Randomly assign users/regions
  6. Run Test: Execute without changes mid-test
  7. Analyze Results: Calculate lift and statistical confidence

Pro Tip: Test Your Biggest Spends First

Start incrementality testing with your largest channels. Even a small improvement in efficiency on high-spend channels can yield significant savings.

Interpreting Results

Incremental LiftInterpretationAction
0% or negativeAds not driving incremental valueReduce/stop spend
1-20%Low incrementalityOptimize or reduce
20-50%Moderate incrementalityMaintain, optimize
50%+High incrementalityScale investment

Common Findings