A/B testing
A/B testing, also known as split testing, is a randomized experimentation process where two or more versions of a variable are shown to different segments of the same audience simultaneously to determine which option performs better.
Unlike traditional research methods, A/B testing doesn’t require significant investments in terms of sample size, budget, or time to collect and interpret results, making this technique highly desirable for its cost-effectiveness.
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Frequently asked questions
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How do you perform A/B testing?
Select a variable you want to test. Then, create 2 or more variations. Assign them to different audiences and monitor metrics. Make sure you test one variable at a time for more accurate results. Look for statistically significant differences between the variations to make informed decisions.
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How long should I run an A/B test for?
Aim for at least 1 to 2 weeks to gather statistically significant data reflecting diverse user behaviors across different times. Generally, it depends on various factors and your goals.
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How do I interpret the results of an A/B test?
To interpret A/B test results: 1. Compare the key metrics of both versions and check for statistical significance. 2. Ensure your sample size is large enough, analyze the percentage improvement, and consider any confounding variables. 3. If the results are conclusive, implement the better-performing version; otherwise, conduct further testing.
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