Why Your A/B Test Needs a Negative Control
transcript
show notes
In this episode of Conversion Rate Optimization with Fexingo, Lucas and Luna explore the underused power of negative controls in A/B testing. Using a real-world example from a SaaS pricing page, they show how a deliberately bad variant—a headline that literally tells visitors not to sign up—revealed a 35 percent conversion lift that a standard test would have missed. They discuss why negative controls help calibrate measurement, expose false positives, and build trust in your testing process. If you've ever wondered whether your A/B tests are actually measuring what you think they are, this episode will change how you design your next experiment.
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