A/B testing (sometimes referred to as “split testing”) is a technique that uses statistical algorithms to determine which variation of a given behavior is most likely to optimize for a predetermined quantitative outcome. By using live traffic to analyze user behavior, A/B testing can provide an objective, data-driven answer to nebulous questions, such as whether offering free shipping to your customers will significantly affect add-to-cart rates.
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Commerce A/B testing: Strategies for success
A/B testing (sometimes referred to as “split testing”) is a technique that uses statistical algorithms to determine which variation of a given behavior is most likely to optimize for a predetermined quantitative outcome. By using live traffic to analyze user behavior, A/B testing can provide an objective, data-driven answer to nebulous questions, such as whether offering free shipping to your customers will significantly affect add-to-cart rates.
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