Make Sure Your A/B Tests are Foolproof with Quality Assurance: The Complete Guide to QA-ing Your A/B Tests
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APRIL 4, 2022
An A/B test can burn through a significant amount of time, money, and resources for optimizers. Brands need to fully trust their solution as it’s a decision tool that directly impacts increasing conversion rates and sales and revenue. The null hypothesis states that the integrated quote has no meaningful impact on the conversion rate.
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