Analysis of the deliverability situation

The first part of the analysis consisted of understanding what was the current IP reputation and which ESP was affected by the spam issue. I generated a list of ESP with the delivery of the  IP and which mailbox the emails were delivered, as you can see on the charts here.

This led us to exactly identify which mailbox was affected the most by the spam issue. Along with this, I ran a list analysis to make sure there were no invalid subscribers. The list was overall clean but we had to remove over 4% of the contacts. On the right, you also have an example of a list validation (not the actual client’s list for confidentiality).

The first part of the analysis consisted of understanding what was the current IP reputation and which ESP was affected by the spam issue. I generated a list of ESP with the delivery of the  IP and which mailbox the emails were delivered, as you can see on the charts here.

This led us to exactly identify which mailbox was affected the most by the spam issue. Along with this, I ran a list analysis to make sure there were no invalid subscribers. The list was overall clean but we had to remove over 4% of the contacts. On the right, you also have an example of a list validation (not the actual client’s list for confidentiality).