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      Theoretical and applied aspects of A/B testing in a modern company

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      A/B testing, marketing research, product development, support of managerial decision-making, analytics

            Abstract

            The article is devoted to the study of theoretical and applied aspects of conducting A/B testing in a modern company in the context of decision-making within the product strategy. It describes A/B testing as a method of marketing research, clarifies the advantages of A/B testing and criteria for its conduct, and identifies prospects for improving the results of A/B testing. An algorithm for conducting A/B testing is formulated, following which it is possible to obtain sufficiently reliable results, taking into account the specific features of the company and the parameters set. It is emphasized that conducting A/B testing also requires consideration of the specific context, objectives of the company's product or marketing strategies, and the characteristics of the target audience, which allows for improving the effectiveness of A/B testing. The conclusion of the study is that this method is highly valuable from the perspective of product development of a company, as A/B testing becomes a significant tool in supporting decision-making and allows for product development while reducing the costs necessary for analyzing the effectiveness of its test versions.

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            Author and article information

            Journal
            ScienceOpen Preprints
            ScienceOpen
            16 September 2024
            Affiliations
            [1 ] Moscow State Institute of Electronics and Mathematics, Moscow, Russia ( https://ror.org/05dhkbw86)
            Author notes
            Author information
            https://orcid.org/0009-0001-1780-8642
            Article
            10.14293/PR2199.001065.v1
            eb11bfc6-7f72-40a0-beec-3bb389fd29be

            This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .

            History
            : 16 September 2024
            Categories

            Data sharing not applicable to this article as no datasets were generated or analysed during the current study.
            Business & Corporate economics
            A/B testing,marketing research,product development,support of managerial decision-making,analytics

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