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Confidence Interval

Confidence Interval represents the range within which you expect an experiment’s true result to fall. It helps quantify uncertainty and shows how reliable your data is. In A/B testing, a narrow confidence interval signals strong reliability in your measured lift or impact.

When you use confidence intervals in testing, you better understand whether your variation results are meaningful or just noise. This allows you to make decisions grounded in data, improving your optimization outcomes with clarity and precision.

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Customer Journey Mapping

Customer Journey Mapping visualizes how customers move through stages like awareness, consideration, purchase, onboarding, and loyalty.

Customer Journey Management

Customer Journey Management focuses on designing, monitoring, and improving the end-to-end experience users have with a brand across channels.

Customer Data Platform

A Customer Data Platform (CDP) unifies data from multiple touch-points, such as websites, apps, CRM systems, and support tools into a single, persistent customer profile.

Customer Acquisition Cost (CAC)

Customer Acquisition Cost (CAC) measures how much a business spends to acquire one new customer, including marketing, sales, and sometimes onboarding expenses.

Custom Conversion

A custom conversion is a user-defined goal in analytics or advertising platforms used to measure specific actions that matter to a business.

CUPED

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

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