Analytics & dataA/B
A/B testing
A method of comparing two variants (A and B) on real traffic to statistically determine which performs better.
A/B testing splits visitors between two (or more) variants and measures which achieves the better result — higher CTR, conversion rate or revenue. Data decides, not opinion.
Why it matters
It removes guesswork. Instead of debating "which button color is better", you let users and their behavior decide.
Real-world example
Two landing-page versions — one with video, one with a static visual. A test over 10,000 visits shows video lifts conversion by 18%. It's rolled out for everyone.
Related terms
Related serviceAI Performance
Full glossarynifty — minds · Glossary