Free Tool

A/B test your subject lines before you send

Enter two subject lines and let AI pick the winner. Get side-by-side scoring for open rate, clarity, spam risk, and emotional appeal.

Your subject lines
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VS
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Comparison

Enter two subject lines and hit compare to see which one will perform better.

Comparing your subject lines...

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Winner
Score Breakdown
Metric Subject A Subject B
Why this one wins

Suggested improvement

A combined version taking the best of both subject lines:

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How to A/B test email subject lines: tips and best practices

What is A/B testing for email subject lines?

A/B testing (or split testing) means comparing two versions of a subject line to see which performs better. In practice, you send Version A to a small group and Version B to another, then send the winner to the rest of your list. This tool lets you preview that comparison instantly using AI analysis, so you can pick the stronger subject line before you hit send.

What should I test in my subject lines?

Focus on one variable at a time: length (short vs. detailed), tone (formal vs. casual), personalization (name vs. no name), format (question vs. statement), or urgency (deadline vs. no deadline). Testing multiple changes at once makes it impossible to know which change made the difference.

How many subject lines should I test at once?

Stick to two (an A/B test). Testing more than two variations requires a much larger sample size to get statistically meaningful results. Once you identify a winner, test it against a new challenger to keep improving over time.

What makes a subject line win an A/B test?

The winning subject line typically has higher open rates, which correlate with clarity (the reader knows what the email is about), appropriate length (30-60 characters so it's not truncated), emotional appeal (curiosity, urgency, or relevance), and low spam risk. A great subject line makes a specific promise and delivers on it in the email body.

How large should my test audience be?

For reliable results, each test group should be at least 1,000 recipients. Smaller lists can still benefit from A/B testing, but the results may be less statistically significant. Most email platforms recommend testing with 10-20% of your total list before sending the winner to the remaining 80-90%.

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