We track optimization results based on A/B test data sets. If you haven't heard of A/B testing, it's splitting the visitors between two or more variants of the same UX element to get statistically valid data on the impact on the match rate. We do a data tracking audit before starting with experimentation, to make sure the data is valid and approve ways to calculate the match rate.