Discover which emails generate more engagement with A/B tests, analyzing open and click rates.
Creating an Automation Flow
In this example, a automation flow for a segment with a significant sample of leads, being executed automatically once for each lead in the segment.
Flow Editing.
Toggling Email Sending
When using the block Toggle, emails can be distributed among the segment's leads, splitting them into Group A and Group B. On each execution, the toggle directs the lead to one of the two outputs alternately: first to the first output, then to the second, then again to the first, and so on.
Using the toggle block.
Checking Lead Behavior
After the email send action, you can first add a trigger to check if the lead opened the email. If so, they are added to a segment or tag, allowing the number of opens to be counted.
Then, it is possible to check if the lead interacted with the email, using a trigger that identifies when they click a link within it. If there is interaction, the lead is also added to a segment or tag, enabling efficient quantification and comparison of the two tests.
Triggers and actions to quantify interactions.
Conclusion
With this segmentation, it is possible to analyze the difference between open and click rates by observing the number of leads in each segment. Additionally, using the Reportsfunction, it is feasible to generate custom charts and dashboards, providing a clear visualization of results and assisting in strategic decision-making based on the tests performed.
