Just Released: The Conversion Gap! Our latest research shows why even top brands fail to convert.
Back to Glossary
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.
Explore more Glossary terms
Customer Journey Mapping
Customer Journey Mapping visualizes how customers move through stages like awareness, consideration, purchase, onboarding, and loyalty.
Read More
Customer Journey Management
Customer Journey Management focuses on designing, monitoring, and improving the end-to-end experience users have with a brand across channels.
Read More
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.
Read More
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.
Read More
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.
Read More
CUPED
CUPED (Controlled Pre-Experiment Data) is a statistical technique used in experimentation to reduce variance and improve test sensitivity.
Read More
Ready to Maximize your Website's Potential?
4.5/5 reviews on
Delaware, USA
Subscribe to our newsletter for exclusive updates and insights.
By clicking submit, you agree to the terms and conditions and acknowledge the privacy policy.
Global CRO Agency Services