ПостBeyond the limitation of A/B Testing using Causal Inference

12 сентября 2024

A/B testing

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Beyond the limitation of A/B Testing using Causal Inference In the realm of product management and development, understanding the impact of new campaign (aka treatment) releases on user behavior is crucial. Campaign assessing effect on key performance indicators, such as retention metrics (specifically, Day 1 retention or D1), becomes a pivotal task. However, this task presents several challenges. While A/B testing is commonly employed to measure such impacts, it is not always a viable option due to ethical, practical, or financial constraints. @ProductAnalytics

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Пост​​Beyond the limitation of A/B Testing using Causal Inference

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ПостBeyond the limitation of A/B Testing using Causal Inference