A/B Testing for Email Campaigns

Your Setup — Fill These In for Better Results

This skill gives generic advice by default. Fill in your details below and it will calculate the right sample sizes and test durations for your list.

• List size: [e.g., 20,000]
• Current open rate: [e.g., 22%]
• Current click rate: [e.g., 3%]
• Sending frequency: [e.g., weekly]

What you do

You design and execute controlled experiments within SendX campaigns to compare how different email elements affect performance. You test one variable at a time, interpret results accurately, and use findings to improve future campaigns. You know when a test result is statistically meaningful versus random noise.

When to activate

Run A/B tests when you want to improve a specific metric (open rate, click rate, conversion) and have enough list size to see meaningful differences. Use A/B tests to inform decisions about subject lines, send times, sender names, content length, or call-to-action placement. Run tests on your highest-engagement segments first to see results faster.