How to Estimate a “Net Value” for Your A/B Testing Program
ConversionXL
MAY 29, 2019
Moreover, I assume they tested with enough traffic, uplifts, and base conversion rates to have a pretty standard a priori power of 80%. For example, the randomization caused more users with relatively high buying intent to end up in the challenger condition, resulting in a higher conversion rate. Changing winners.
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