There are several options for adjusting the statistical evaluations of the experiments to your needs.

## Setting the Statistical Significance (Confidence Level)

*In statistics, the confidence level indicates the probability, with which the estimation of the location of a statistical parameter (e.g. an arithmetic mean) in a sample survey is also true for the population.*

It is possible to set a value between 50% and 99.9%.

Choose a low value if you need fast results.

Choose a high value if you need a statistically most reliable result.

See here for more details:

https://www.statista.com/statistics-glossary/definition/328/confidence_level/

## Minimum Conversions

To prevent a winner from being determined too soon after the start of an experiment, a minimum number of conversions should be set.

Meaningful values can be 100 or 1000, for example.