# A/B Testing Calculator

Use the Calculator below to figure out the necessary sample size and test duration to ensure your A/B test results aren’t random.

Your current conversion rate can be figured by dividing your last month’s conversions by the total visitors of the last month.

Example: If you made $400 and had 2000 visitors your equation would look like this.

** 400 ÷ 2000 = .2 or 20%**

It’s not important this number be over-thought; take an educated guess.

If you’re a pro and working for a client – you may expect to improve 20%. If you’re starting out maybe 5-15% is more appropriate. Use your best judgement.

What this calculator tells you is two things, for two different confidence levels.

- Visitors required for accurate test
- Number of Days to run test

Confidence Level is the likelihood that your test results signify true improvement or loss, rather than being a random trend.

80% means 80% chance that the variants performance is ‘true’.

95% means 95% chance that your test results are ‘true’.