A/B Testing for Beginners
Gut feelings are expensive. Every time you change your website based on personal preference instead of data, you're gambling with your conversion rate. A/B testing removes the guesswork entirely.
What Is A/B Testing?
You create two versions of a page element — version A (original) and version B (variant). Half your visitors see A, half see B. After enough traffic, you measure which version produced more conversions. The winner becomes your new default.
How It Works in Practice
Identify a page with significant traffic and a low conversion rate
Form a hypothesis: "Changing the CTA from 'Learn More' to 'Start Free Trial' will increase signups"
Create the variant (version B)
Split traffic 50/50 and run the test
Wait for statistical significance (usually 95%+)
Implement the winner
What to Test First
Headlines
Your H1 has the biggest impact of any single element. Test benefit-led vs. feature-led, question format vs. statement, short vs. long.
CTA Button Text
"Get Started" vs. "Start Free Trial" vs. "Try It Free" — seemingly minor differences can shift conversion rates by 20-30%.
CTA Button Color
See our guide on color psychology for websites for the full breakdown of what works and why.
Images
Hero image with person vs. product screenshot vs. abstract graphic. Test one change at a time.
Free Tools
Mistakes to Avoid
Minimum Test Duration
Never stop a test before 2 weeks, regardless of early results. You need at least 100 conversions per variant to draw meaningful conclusions. Less traffic? Consider testing bigger changes — the signal needs to overpower the noise.