A Beginner's Guide to A/B Testing in Digital Products
Keywords:
Comparative testing, digital experimentation, heterogeneous effect analysis, multivariable optimization, intelligence-augmented assessmentAbstract
This article delves into the core methodologies and progressive implementations of comparative testingwithin digital product evolution. Beginning with the transformational journey of controlled experimentsacross interactive platforms, it scrutinizes the quantitative underpinnings enabling reliable causality determination in online environments.
References
Ron Kohavi, Roger Longbothem "Online Controlled Experiments and A/B Testing," in Encyclopedia of Machine Learning and Data Mining, Boston, 2017, pp. 922-929. [Online]. Available: https://www.researchgate.net/publication/316116834_Online_Controlled_Experiments_and_AB_Testing
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Published
2025-12-08
How to Cite
Kartikaya Purohit. (2025). A Beginner’s Guide to A/B Testing in Digital Products. Journal of Computational Analysis and Applications (JoCAAA), 34(12), 241–252. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4341
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