A method that runs two versions (A and B) simultaneously and compares which one better achieves a target metric such as conversion rate or click-through rate. It is used to improve website designs, UI elements, email subject lines, and many other factors. A/B testing is a standard technique for data-driven decision-making.

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• 2022r04 #34あるオンラインサービスでは，新たに作成したデザインと従来のデザインの Web サイトを実験的に並行稼働し，どちらの Web サイトの利用者がより有料サービスの申…