Pitting different variations of a web page or campaign against one another can help you achieve your desired outcome much more consistently (a.k.a. increase conversion rates).
Instead of guessing about what copy or image will get more conversions, you can test hypotheses and gather hard data.
In this comprehensive guide, we’ll focus on philippines girls whatsapp number how to interpret A/B test results and use the insights you gain to improve your conversion rates and revenue.
Let’s get started!
Shortcuts
What is A/B testing?
What is A/B testing analysis?
3 types of A/B testing analysis
How to analyze your A/B testing results?
Automate your A/B testing process with AI
What is A/B testing?
First, let’s define A/B testing.
A/B testing (or split testing) is a systematic method of comparing two versions of a product page, landing page, other web pages, or a marketing campaign to determine which one performs better.
The two pages might feature a different headline or call-to-action, and A/B testing allows you to compare how these different elements resonate with your target audience.
