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Optimizing Experiment Strategies with the Lever Framework
This chapter explores the Lever framework for enhancing experimentation programs by capturing data to determine win rates, leverage under-utilized levers, and enhance prediction accuracy using machine learning. It emphasizes the framework's role in optimizing experiment strategies, categorizing experiments, and generating valuable learnings for conversion rate optimization.