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A/B Testing Calculator – Free Online Tool

Quickly calculate your A/B test results and determine statistical significance in seconds.

Enter Your Data

Variant A (Control)

Variant B (Treatment)

Results

📊

Enter your data and click Calculate
to see your A/B test results

Based on standard z-test for proportions

How to Use A/B Testing Calculator Tool

Follow these simple steps to calculate your A/B test results

1

Enter visitors and conversions for each variant

Input the number of visitors and conversions for both your control (A) and treatment (B) variants

2

Choose significance level

Select your desired confidence level: 90%, 95%, or 99%

3

Click Calculate

Press the Calculate button to run the statistical analysis

4

Review conversion rates, lift, and significance

Analyze your results including conversion rates, percentage lift, p-value, and statistical significance

Why Use A/B Testing Calculator Tool?

The most reliable and user-friendly A/B testing calculator available

Accurate A/B testing formula based on z-test

Uses industry-standard statistical methods for reliable results

Instant calculation

Get your results in milliseconds, no waiting required

Free & unlimited use

Calculate as many A/B tests as you need, completely free

Responsive design

Works perfectly on desktop, tablet, and mobile devices

Trusted by marketers & UX teams

Professional-grade tool used by marketing and product teams worldwide

Understanding Your Results

Learn what each metric means and how to interpret your A/B test results

📊

Conversion Rate

The ratio of conversions to visitors, expressed as a percentage. It shows how effective each variant is at converting visitors.

📈

Lift

The percentage improvement (or decline) of variant B compared to variant A. A positive lift means B performed better than A.

📉

P-Value

The probability that the observed difference occurred by chance. Lower values (typically < 0.05) indicate more reliable results.

✅

Statistical Significance

Indicates whether your results are reliable enough to act on. 'YES' means you can confidently make decisions based on the test results.

Frequently Asked Questions

Everything you need to know about A/B testing and this calculator

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