| |
A/B testing is a hypothesis testing method that compares the results of two experiment configurations. In many cases, a control is compared against an experiment. It's popularly used by websites to test content and configurations with web traffic to optimize metrics such as click-through and conversion rates. On a high traffic site, large numbers of experiments can be run to support continual optimization.
|
Area | | Definition | A hypothesis test that compares two alternatives, often an experiment and a control. | Value | Making decisions and solving problems with data as opposed to guesses. | Risks | A focus on low level optimization can cause a firm to miss big-picture opportunities. | Synonyms | split testing, bucket testing | Related Concepts | |
Thinking
This is the complete list of articles we have written about thinking.
If you enjoyed this page, please consider bookmarking Simplicable.
© 2010-2023 Simplicable. All Rights Reserved. Reproduction of materials found on this site, in any form, without explicit permission is prohibited.
View credits & copyrights or citation information for this page.
|