1. What is A/B Test Duration?

A/B test duration is the time required to collect enough data (sample size) for statistically significant results, based on your daily visitor traffic. Proper duration calculation helps ensure test reliability.

2. How Does the Calculator Work?

The calculator uses the simple duration formula:

Where:

• Sample Size — Total number of users needed for each test variation
• Daily Visitors — Average number of users who will see the test per day

Explanation: This calculation gives the minimum duration needed to reach your required sample size at your current traffic levels.

3. Importance of Duration Calculation

Details: Running tests for the correct duration prevents premature conclusions (under-powered tests) and avoids unnecessarily long tests that delay implementation.

4. Using the Calculator

Tips: Enter your calculated sample size (from power analysis) and your average daily visitors to the test pages. Both values must be positive integers.

5. Frequently Asked Questions (FAQ)

Q1: What if my traffic varies significantly?
A: Use a conservative estimate of your daily visitors, or calculate separately for weekdays/weekends.

Q2: Should I account for test variations?
A: This calculator gives total duration. If you have multiple variations, ensure your sample size accounts for all groups.

Q3: What about conversion rates?
A: Conversion rates affect required sample size but not duration calculation once sample size is determined.

Q4: Can I run tests for shorter durations?
A: Only if you can achieve your required sample size faster, otherwise you risk inconclusive results.

Q5: How accurate is this estimate?
A: It's a mathematical minimum. Real-world factors like seasonality may require adjustments.