Description:
We need a feature to filter out automatic email open events that are not caused by recipients or users. This would enable more accurate reporting and evaluation of email campaign performance.
Why is this feature important to you:
Filtering out non-human interactions is essential for providing accurate open rate metrics, ensuring campaign performance insights reflect genuine user engagement. Additionally, identifying and including non-human interactions (e.g., automatic opens by Apple Mail Privacy Protection - MPP) would help evaluate email address activity and inactivity more effectively.
How would you like the feature to work:
The feature should detect and exclude automatic opens caused by non-human actions, such as MPP or similar mechanisms, from standard open rate calculations. Simultaneously, it should log and make these automatic opens identifiable for separate reporting purposes, allowing for better analysis of email address activity patterns.
Current Behaviour:
Currently, all email opens, including those triggered automatically by non-human actions like MPP, are counted equally. This inflates open rates and makes it challenging to distinguish genuine user engagement from system-generated interactions.
