Marketing Dictionary
A/B Testing
Definition
Comparing two versions of a webpage or app against each other to determine which one performs better.
Deep Dive
A/B testing, also known as split testing, is a methodical approach used to compare two versions of a webpage, app, email, or other marketing asset against each other to determine which one performs better. It involves showing two different variants (A and B) to different segments of your audience simultaneously and measuring their impact on a specific goal, such as conversion rates, click-through rates, or engagement. The core idea is to isolate variables and use data to make informed decisions about optimization, removing guesswork from the design and marketing process.
Examples & Use Cases
- 1A company testing two different headlines on a landing page to see which generates more sign-ups
- 2An e-commerce site experimenting with two different call-to-action button colors to determine which leads to more product purchases
- 3An email marketer sending two versions of a subject line to measure open rates
Related Terms
Multivariate TestingConversion Rate Optimization (CRO)User Experience (UX)