What is A/B Testing?
A/B Testing is a feature that allows you to compare two variants of the same message or communication channel within your prospecting sequences.
This helps you quickly determine which approach delivers the best results.
Why Use A/B Testing?
Every audience is different, and knowing which messages or approaches generate the most engagement is crucial.
A/B Testing allows you to concretely identify what works by testing, for example, two email subjects, two LinkedIn approaches, or two different message styles.
This will help validate the most impactful messages and significantly increase your positive response rate.
How to Set Up an A/B Test in Your Sequence?
Follow these simple steps:
Access your sequence:
Open your campaign sequence editor.
Select the step to test:
Click on an existing step or add a new one (LinkedIn message or email).
Create a variant:
Click the "AB" button to add a second version of the message.
Customize each variant (text, email subject, variables, etc.).
Save and launch:
Save your changes to immediately activate the A/B Test.
What Elements Can You Test?
You have several options to refine your messages:
Emails
Email subjects
Email body content
LinkedIn messages
LinkedIn invitations (coming soon)
LinkedIn voice messages (coming soon)
How to Analyze Your Results?
To effectively measure your test results, you can compare the performance of each variant.
In Your Campaign Tracking
Go to your campaign, under the "Channel Statistics" tab.
Review global and specific statistics for each variant: open rates, clicks, responses received, and conversion rates.
Use this information to select the best variant and improve your future campaigns.
Easily Manage Your A/B Variants
Once you've identified the most effective variant, you can pause a variant at any time:
Directly from the sequence editor
From the "Reports" menu
In the "Channel Statistics" campaign tracking
You can also reactivate it if necessary, at your convenience.
How to Access the A/B Test Feature?
A/B testing is available to all users on the Pro Plan, Ultimate Plan, and Trial.
If you're on a Basic plan, you can modify your subscription to benefit from this feature.
Best Practices for Reliable Results
Here are some tips for successful A/B tests:
✅ Test only one variable at a time: a single change per test ensures accurate analysis.
✅ Allow enough time for the test: at least one week to collect reliable data.
✅ Adapt regularly: continuously improve your messages based on observed results.
✅ Be persistent: A/B Testing is a continuous improvement process.
By following these recommendations, A/B Testing will quickly become your best ally for high-performing campaigns.