The document lists 10 common mistakes in A/B testing that can negatively impact results and finances. It emphasizes the importance of proper test planning, sample sizing, and the need for consistency across tests. Additionally, it cautions against making rushed decisions and highlights the significance of segmenting for more accurate results.
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