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CUPED

CUPED (Controlled Pre-Experiment Data) is a statistical technique used in experimentation to reduce variance and improve test sensitivity. It uses historical user behavior data to adjust experiment results, making it easier to detect lift even with smaller sample sizes. Platforms use CUPED to reduce noise and isolate the true impact of an experiment, especially when baseline behavior varies widely. Companies running frequent A/B tests benefit by getting faster, more reliable insights.

Teams often apply CUPED in high-traffic environments like product onboarding flows or pricing pages, where even small accuracy gains matter. This helps avoid running unnecessarily long tests or misreading early trends. While powerful, it requires clean historical data and technical setup, so adoption is growing as experimentation programs mature.

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CUPED (Controlled Pre-Experiment Data) is a statistical technique used in experimentation to reduce variance and improve test sensitivity.

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