A/B Testing

A/B testing, also known as split testing, is a method for comparing two versions of a webpage, email, or application to determine which one performs better in terms of user engagement, conversion rates, or other key metrics. It involves randomly assigning users to different variations and measuring their responses to determine the impact of changes or interventions. Readers can learn how A/B testing enables data-driven decision-making, optimization, and iterative improvement in digital marketing, product development, and user experience design by experimenting with different variations and analyzing user behavior.

Comprehensive roadmap for ab-testing

By roadmap.sh