This calculator tells you, given the split test data you have, how likely is it that one version is better than another.
A Bayesian approach avoids many of the issues with z tests and G tests, and can often enable you to draw meaningful conclusions, even where conversion rates and sample sizes are low.
The probabilities calculated go directly to the business question of which version is best.