Experimentation
Experimentation is running controlled tests, like A/B tests, to learn which changes to a site or product actually improve outcomes, instead of relying on opinion.
What experimentation means
Experimentation is the discipline of testing changes against a control to measure their real effect on user behavior. In conversion optimization, that usually means A/B tests or multivariate tests, where a portion of traffic sees a variant and the rest sees the original.
Why it beats opinion
Teams ship hundreds of changes a year. Without experimentation, you cannot tell which ones helped, hurt, or did nothing. A structured experimentation program replaces guesswork with measured evidence, and those learnings compound over time.
How modern tools change it
Traditional experimentation needed large traffic and weeks per test. AI-driven platforms like Dalton lower the barrier by generating variants, running many experiments at once, and shifting traffic toward winners automatically, so smaller sites can experiment continuously.