A/B-testing should be structured with a clear hypothesis, analytics tools, and user feedback to avoid random changes and wasted budget.
Use the PIE Framework to prioritize tests and SMART goals to track relevant metrics and avoid vanity metrics.
Segmentation, sample size calculations, and testing one variable at a time can lead to more accurate results. Use tools like Google Analytics, VWO, and Hotjar to track and analyze data.
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Data-Driven CRO: How to A/B-Test Like a Pro Without Wasting Ad Budget
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