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FAQ
Statistical significance indicates that the differences observed between variations are unlikely to have occurred due to chance. If you haven’t achieved statistically significant results, your winning variation will probably not perform as well as you thought over a longer period of time. That’s because its success was down to chance rather than a significant, meaningful difference. You reach statistical significance by gaining a large enough sample size to be sure that you have accurate results.
How do you interpret A/B testing results?
Interpreting A/B testing results involves looking beyond statistical significance. Consider segmenting your data, analyzing external and internal factors, and reviewing user behavior through click and heatmaps to draw meaningful conclusions.
