A/B testing transforms marketing from guesswork to science. Instead of debating whether the blue button or green button will convert better, you test and know.
A/B Testing Fundamentals
Create two versions, randomly show each to a portion of your audience, measure which achieves your goal better, and implement the winner.
What to A/B Test
High-impact areas include headlines, CTAs, email subjects, ad creative, form length, and pricing display.
How Xplainr Helps
Xplainr helps you identify the highest-impact elements to test and analyzes results with statistical rigor.
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From Tests to Transformation
A disciplined testing program compounds improvements over time. Always be testing, always be learning, always be improving.
- Incrementality Testing
Go beyond A/B tests with holdout-based incrementality experiments.
- Automated Insights
Use AI to surface test ideas from your data.