Advertising Lift Test Planner
Explain when a test cannot distinguish campaign impact from noise. Statistical review is required.
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Your planning inputs
Examples are editable. All money amounts use U.S. dollars (USD).
Your planning result
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Review the assumptions before acting. Downloads include the information you enter.
The method
Approximate equal-group sample size for two independent proportions, two-sided alpha 0.05 and power 0.80: [1.96√(2 pbar(1−pbar)) + 0.8416√(p0(1−p0)+p1(1−p1))]² / (p1−p0)² per group.
Limits and next steps
Planning approximation requires independent observations and appropriate randomization. Geographic cluster tests need a different design. No statistical sign-off or causality guarantee. Method context: https://www.itl.nist.gov/div898/handbook/prc/section3/prc33.htm
No data is uploaded, stored or sent to an ad account by this tool. No campaign changes are made.