Statistical Engine

A/B Test Validator

Stop guessing. Use high-fidelity statistics to determine if your new design actually out-performs the original baseline.

Control (Variation A)

Visitors

Conversions

CR: 5.00%

Test (Variation B)

Visitors

Conversions

CR: 6.50%

Keep Testing

Statistical Confidence

80%

Result

Variation B is better by 30.00%

Not enough data to be sure. The difference could be due to random chance.

Statistical Rigor

Significant results aren't just about higher numbers—they're about mathematical certainty. Our tool uses a standard Z-test to ensure that your observed lift is real and not a product of random variance or seasonality.

Conversion Lift

Calculates the relative percentage increase in conversion rate from Version A to Version B accurately.

Confidence Levels

Aim for 95% confidence before declaring a winner to minimize the risk of "Type I" statistical errors in your data.

The Logic Stack

The Z-Test

A statistical test used to determine whether there is a significant difference between the means of two groups.

P-Value

The probability that the observed difference occurred by chance. A P-value < 0.05 is the industry standard for significance.

Sample Size

Higher volume leads to higher sensitivity, allowing you to detect even subtle changes in user behavior across cohorts.