Conversion Rate:

The conversion rate is the percentage of visitors who take a desired action, such as making a purchase, signing up for a newsletter, or clicking on a link. It's calculated by dividing the number of conversions by the total number of visitors and multiplying by 100.

Z-Score:

The Z-Score tells you how many standard deviations an outcome is from the average. In A/B testing, it helps you see how different two groups (A and B) are. A higher Z-Score means a bigger difference between the two versions.

P-Value:

The P-Value tells you the probability that the results happened by chance. In A/B testing, a P-Value below 0.05 usually means the difference between version A and version B is statistically significant and not just random.

Statistically Significant

For a result to be considered statistically significant, we typically look for a confidence level of 95% or higher. This means we can be 95% sure that the difference in results between A and B is not due to random chance.