A/B subject testing
Test two subject lines side by side and let Asan automatically send the winner to the rest of your audience.
How A/B testing works
When you enable A/B testing on a campaign, Asan splits your audience into three groups: a test group for Variant A, a test group for Variant B, and a holdback group. After a set wait period, Asan compares performance and automatically sends the winning subject line to the holdback group.
Setting up an A/B test
- Create or open a campaign in the campaign editor.
- When you are ready to send, click A/B Test Subject instead of sending directly.
- Your original subject line becomes Variant A. Enter a second subject line as Variant B.
- Choose a split percentage (10% to 50%) — this is the total portion of your audience used for testing.
- Choose a wait duration (2 to 24 hours) — how long Asan waits before picking the winner.
- Click Start Test to begin sending.
How the split works
The split percentage determines how many leads receive the test emails. The rest are held back for the winning variant.
| Split % | Variant A | Variant B | Holdback | Example (1,000 leads) |
|---|---|---|---|---|
| 10% | 5% | 5% | 90% | 50 A, 50 B, 900 holdback |
| 20% | 10% | 10% | 80% | 100 A, 100 B, 800 holdback |
| 30% | 15% | 15% | 70% | 150 A, 150 B, 700 holdback |
| 50% | 25% | 25% | 50% | 250 A, 250 B, 500 holdback |
How the winner is chosen
After the wait duration expires, Asan compares the unique open rate of Variant A against Variant B. The variant with the higher open rate wins, and its subject line is automatically sent to the holdback group.
If both variants have identical open rates, Variant A is used as the default winner.
Viewing results
Once the test completes, you receive a notification with the winning variant. You can also view the full comparison in Campaign Analytics:
- Open rate per variant — side-by-side comparison
- Click-through rate per variant — deeper engagement comparison
- Winner badge — clearly marks which variant won
- Holdback results — performance of the winning subject line on the larger audience
Tips for better tests
- Change one element at a time. Test a question vs. a statement, or including a number vs. not. Changing multiple things makes it impossible to know what drove the difference.
- Keep both variants roughly the same length so length alone does not bias the result.
- Use a longer wait duration (12-24h) if your audience spans multiple time zones.
- Review past A/B results to build a library of what works for your specific audience.
Frequently asked
Is there a minimum list size for A/B testing?+
What metric determines the winner?+
Can I cancel an A/B test while it is running?+
What happens if it is a tie?+
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