A/B Testing

Brief: Extend Mojolicious/Catalyst w/ testing better variants of content
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  • Add support to Mojolicious and Catalyst for this: "A/B testing (also known as bucket testing or split-run testing) is a user experience research methodology.[1] A/B tests consist of a randomized experiment with two variants, A and B.[2][3] It includes application of statistical hypothesis testing or "two-sample hypothesis testing" as used in the field of statistics. A/B testing is a way to compare two versions of a single variable, typically by testing a subject's response to variant A against variant B, and determining which of the two variants is more effective.[4]" - https://en.wikipedia.org/wiki/A/B_testing