To use an A/B testing calculator, you need to input data from your email campaigns, such as the number of emails sent, the number of opens, and the number of clicks or conversions. The calculator will then compute the statistical significance of the differences between the two versions, helping you determine whether the observed differences are due to chance or if one variant truly performs better.