What is A/B Testing?
A/B Testing is a key method in digital marketing. It involves comparing two versions of the same element (content, message, visual, etc.) to identify which one generates the best results with your audience.
Example: Test version A (original) against version B (modified) on two similar samples of prospects.
The advantage: Measurable, concrete, and easy-to-interpret results.
Why perform A/B Testing on LinkedIn?
On LinkedIn, we aim to improve two key metrics, and therefore two A/B elements:
Connection acceptance rate ➡️ Test different invitation notes or no note at all.
Response rate to messages ➡️ Vary the wording, structure, or angle of your message.
How to set up an A/B Test with Waalaxy?
Step 1: Import your prospects
From your LinkedIn account, perform a targeted prospect search (sector, role, location, etc.).
Select a sufficient sample: at least 200 people (100 for group A, 100 for group
Import:
Page 1 LinkedIn → List A.
Page 2 LinkedIn → List B.
Your prospects are now divided into two Waalaxy lists.
Step 2: Choose the sequence
Choose a sequence based on what you want to test:
For invitations: sequence with the "Invitation" step.
For messages: sequence with at least one "Message" step.
Step 3: Create Your Campaigns
Here, we will create two distinct campaigns based on the same template to test two different variables.
Campaign A:
Go to the Campaigns tab > Create a campaign.
Choose a suitable sequence (e.g., "Invitation").
Import the prospects from List A.
Do not add an invitation note.
Launch the campaign.
Campaign B:
Repeat the same process with List B.
This time, add a personalized invitation note.
Launch the campaign.
After launching your campaigns, the actions will be sent to the Queue and processed according to your daily quotas.
You’ve just created an A/B Test: same type of prospects, same sending time, only the variable changes (the invitation note) 🚀.
A/B Testing analysis
Wait 28 to 30 days before analysing the results—this gives prospects enough time to respond to your messages or invitation.
To analyse your A/B test results:
Go to the Campaigns tab.
Select one of the tested campaigns.
Click on Analytics to access key indicators:
Acceptance rate (if you're testing invitations).
Response rate (if you're testing messages).
By comparing this data, you'll clearly identify the most effective approach 🚀.
A/B Testing for sending LinkedIn messages
The method is the same:
Create two campaigns with different message versions.
Compare the response rates to determine which one yields the best results. 👊