GLOSSARY

A/B testing

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A/B testing is a method where two versions (A and B) of a webpage or app are compared to see which performs better in achieving a specific goal, helping you make data-driven decisions.

What is A/B Testing?

A/B testing involves comparing two versions of a webpage or app to determine which one performs better in achieving a specific goal.

Why It Matters

By conducting A/B tests, startups can optimize their products or services based on data and user behavior, leading to improved user engagement and conversions.

Examples

Testing different call-to-action buttons to see which one generates more clicks
Comparing two versions of a landing page to determine which leads to more sign-ups

Related Concepts

Split Testing: Similar to A/B testing, but involves testing multiple versions (more than two) simultaneously
Multivariate Testing: Testing multiple elements on a webpage to determine the best combination

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