# A/B Testing

> Learn how A/B testing helps creators optimize their sales pages, emails, and checkout flows by comparing different versions.

Canonical URL: https://crevio.co/glossary/a-b-testing

##  What is A/B Testing?

A/B testing (also called split testing) is a method of comparing two versions of a webpage, email, or other content to determine which one performs better. Creators use A/B testing to optimize their [sales funnels](/glossary/sales-funnel), [landing pages](/glossary/landing-page), and marketing materials.

## How A/B Testing Works

1. **Create Two Versions**: Design version A (control) and version B (variant) with one key difference
2. **Split Your Traffic**: Show each version to a random segment of your audience
3. **Measure Results**: Track [conversion rates](/glossary/conversion-rate), clicks, or other metrics
4. **Implement the Winner**: Use the better-performing version going forward

## What Creators Can A/B Test

- **Headlines**: Test different value propositions on your sales page
- **[CTAs](/glossary/cta)**: Compare button text, colors, or placement
- **Pricing Display**: Test showing original vs. discounted prices
- **Email Subject Lines**: Find what drives higher open rates
- **Checkout Flows**: Optimize for fewer abandoned carts
- **[Lead Magnets](/glossary/lead-magnet)**: Test different free offers

## Best Practices

- Test one variable at a time for clear results
- Run tests long enough to reach statistical significance
- Document your findings to build institutional knowledge
- Focus on high-impact elements first (headlines, CTAs, pricing)
- Don't stop testing—continuous optimization compounds over time

## Common Mistakes to Avoid

- Ending tests too early before gathering enough data
- Testing too many variables simultaneously
- Ignoring mobile vs. desktop differences
- Not considering the full customer journey