What is Segmented List?
Instead of testing multiple message variants in one campaign, you split your audience into separate lists and run multiple campaigns—each using a different message version.
By comparing results across campaigns, you can determine which message performs best.
Step-by-Step: How to Run A/B Tests Using Segmented Lists
1. Prepare Your Lead Lists
Start with a single audience, then split it into two or more similar-sized lists. Make sure the lists are as equal as possible to keep the test fair.
Example:
List A: 500 leads
List B: 500 leads
2. Create Separate Campaigns
Create a new campaign for each list:
Campaign A → uses List A
Campaign B → uses List B
Each campaign should be identical except for the message you want to test.
3. Change Only One Variable
To get clear results, test only one element at a time, such as:
Opening line
Call-to-action (CTA)
Message tone
Personalization style
Avoid changing multiple elements at once, as this makes results harder to interpret.
4. Launch Campaigns at the Same Time
Run the campaigns simultaneously to minimize timing or audience behavior differences that could affect results.
5. Compare Campaign Results
After the campaigns have run, compare key metrics such as:
Reply rate
Engagement rate
Conversion or booked responses
The campaign with stronger performance indicates the winning message variation.
Best Practices for A/B Testing
Use evenly split and similar audiences
Keep all settings the same across campaigns
Run tests long enough to collect meaningful data
Apply the winning message to future campaigns
Why Use This Method?
Using segmented lists allows you to:
Test messaging strategies before scaling
Improve reply and engagement rates
Make data-driven decisions without native A/B testing
If you need help creating segmented lists or analyzing results, feel free to reach out to our support team.