Google Ads Statistical Significance Calculator
Determine if your A/B test results are statistically significant. Input your test data from campaigns, ad groups, or ads to calculate confidence levels and determine if your results are reliable.
Enter clicks and conversions for both variants to test significance.
01The basics
Understanding Statistical Significance
What is Statistical Significance?
Statistical significance tells you whether the difference between your test variants is likely due to chance or represents a real effect. A result is considered statistically significant when the probability of it occurring by chance is less than 5% (95% confidence level).
Why Statistical Significance Matters
Without statistical significance, you can't be confident that your test results represent real performance differences. Understanding significance helps you make data-driven decisions and avoid implementing changes based on random fluctuations.
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