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Glossary > A/B Testing

A/B Testing

A/B testing, also known as split testing, refers to a randomized experimentation process where 2 or more versions of a variable are shown to different audience segments at one time to discover which option performs better.

A key advantage of A/B testing is its cost-effectiveness. 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.

In Ocamba Marketeer, you can A/B test different sections of your creatives.

Frequently asked questions
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.
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.
How do I interpret the results of an A/B test? Look for statistically significant differences between the variations to make informed decisions.
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