Developed meticulously by the VIMOS team, this exclusive A/B testing feature for the Hong Kong market allows merchants to easily determine the effectiveness of their broadcast messages by testing different variables before sending.
A/B testing is a controlled experiment that helps in designing and making advertising decisions. Simply put, it involves creating two versions (A and B) with different variables to test which one performs better.
By sending “two groups of broadcast messages with only one different variable,” merchants can easily determine the effectiveness of the two messages and find the winning formula.
Set a test objective, such as comparing the performance of broadcasts sent in the morning vs. the evening.
Select a small portion of the WhatsApp broadcast list for A/B testing.
Create two message templates with different variables, such as send time, title, or button text.
The system will automatically divide the list equally between the two message templates.
The system will display the test results, showing open rates and reply rates to identify the winning template and then send it to the remaining recipients.
Summarize the key variables that have the greatest impact on ad effectiveness.
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