Event & data logging issues
Understanding event data retention:
Data Retention Rules:
Event data has specific retention periods
Different event types may have different retention periods
Retention periods vary by account type
Best Practices for Historical Data:
Set up webhooks to capture events in real-time
Store important data in your own systems
Use scheduled reports for long-term analysis
Export critical data before retention limits
Recommendations:
Implement webhook data collection
Set up regular data exports
Consider using the Events API
Store historical data in your own database
Note: For specific retention periods and data access details for your account type, please consult your Email account manager or support team.
Why are my bounce counts different when looking at Metrics vs calculating from events?
Bounce count differences can occur due to several factors:
Events report all bounces as a Bounce event with a corresponding bounce classification.
Metrics separates out Admin Bounces as a separate metric to the Bounce metric
Timing Differences:
Metrics are processed and aggregated in real-time
Events may have slight delays in processing
Time zone settings can affect how data is grouped
Categorization:
Metrics and events may categorize bounces differently
Some events may be rolled up in aggregate metrics
Certain bounce types may be filtered differently
Best Practice:
Use consistent time ranges when comparing
Consider which bounce types you're including
Check your filtering settings
Why can I only see data from the last 10 days?
Email maintains different data retention periods based on data type:
UI and API Metrics:
Rolling 10-day window for detailed metrics in the UI
Summary metrics available for longer periods
Historical data accessible through scheduled reports
Retention periods may vary by account type
Best Practices:
Set up scheduled reports for long-term data needs
Export important data regularly
Use the events API to collect real-time data for your own storage
