How can you determine the right level of personalization for A/B testing?
Personalization is a powerful way to improve user experience and engagement on your website or app. But how do you know how much personalization is enough, and how do you measure its impact? One way to answer these questions is to use A/B testing, a method of comparing two versions of a web page or feature to see which one performs better. In this article, you will learn how to design and run A/B tests for personalization, and how to avoid some common pitfalls and challenges.
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Tavishi JaglanData Science Manager @Publicis Sapient | 4xGoogle Cloud Certified | Gen AI | LLM | RAG | Graph RAG | LangChain | ML |…
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Rahul ParandeSoftware Dev Engineer @ AWS
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Jayanth MKData Scientist | Phd Scholar | Research & Development | ExSiemens | IBM/Google Certified Data Analyst | Freelance…