What mechanism helps to prevent bias when using LinkedIn's experimentation tools?

LinkedIn experimentation uses randomized audience splitting to create comparable groups before results are measured. Random assignment helps reduce selection bias because each group should have similar audience characteristics at the start of the test. This supports cleaner comparison between exposed and control groups or between campaign variations. Randomization is central to reliable A/B Testing , Brand Lift Testing , and Conversion Lift Testing methodology.