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.
Variant A
Enter your control group data
Variant B
Enter your test group data
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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