Ignore confidence interval for A/B testing

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measured in percentages. The optimal indicator is considered to be 95%, it can be calculated and set automatically in testing systems. In simple terms, the confidence interval reflects the probability with which the split test results are correct.

Insufficient amount of data
A small sample size, as well as premature termination of testing, namibia whatsapp number database can give a distorted view of the results and lead to erroneous conclusions. A prematurely terminated test cannot be considered objective, so it should never be done. It is important to make sure that you have enough data for statistically significant analysis.

Conclusion
A/B testing is an essential part of a website optimization strategy. If done correctly, tests can lead to significant improvements in metrics and conversion rates. However, to avoid mistakes, it is necessary to follow a clear plan and use automated systems for split testing.

Author: Eurobyte
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