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CRO (Conversion rate optimization)vsa/b-testing

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Conversion Rate Optimization (CRO) is a systematic process focused on increasing the percentage of website visitors who complete a desired action, such as making a purchase or filling out a form. A/B testing is a core tactical method within CRO that enables marketers and digital strategists to empirically compare two or more variations of a webpage or user experience element to identify which version yields a higher conversion rate. The WHY behind their relationship is that CRO requires data-driven decision-making to optimize user journeys, and A/B testing provides the experimental framework to validate hypotheses about design, copy, or functionality changes. The HOW is that CRO teams generate hypotheses based on user behavior analytics, then implement A/B tests to isolate the impact of specific changes, measure conversion improvements statistically, and iteratively refine the digital experience. Without A/B testing, CRO efforts would rely on guesswork or less precise methods, making A/B testing indispensable for reliably improving conversion metrics and achieving business goals.

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a/b-testing

noun/ˌeɪˈbiː ˈtɛstɪŋ/

A method of comparing two versions of a webpage or app against each other to determine which one performs better in terms of user engagement or conversion rates.

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CRO (Conversion rate optimization)

nounkənˈvɜːrʒən reɪt ˌɒptɪmaɪˈzeɪʃən

The process of increasing the percentage of website visitors who complete a desired action, such as making a purchase or signing up for a newsletter.

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