Alvie checks your Google Analytics 4 accounts for a multitude of different things that can help you improve its performance and ultimately help you get a better return on your investment.
The following rules are monitored across your GA4 accounts:
Best Practices
Alvie currently has no recommendations of this type for GA4
Performance
1. Campaigns with a significant drop in key events
Some of your campaigns have had a significant drop in key events when comparing 2 days ago to the previous interval average using default attribution (DDA). Check if there is a reason behind the drop, or if it is due to natural factors such as seasonality, short-term campaigns, etc.
2. Campaigns with a significant drop in key events (LNDA attribution)
Some of your campaigns have had a significant drop in key events when comparing 2 days ago to the previous interval average using session-scoped (LNDA) attribution. Check if there is a reason behind the drop, or if it is due to natural factors such as seasonality, short-term campaigns, etc.
3. High-value campaigns with a significant drop in key events
Some of your high-value campaigns have had a significant drop in key events when comparing 2 days ago to the previous interval average using default attribution (DDA). Check if there is a reason behind the drop, or if it is due to natural factors such as seasonality, short-term campaigns, etc.
4. High-value campaigns with a significant drop in key events (LNDA attribution)
Some of your high-value campaigns have had a significant drop in key events when comparing 2 days ago to the previous interval average using session attribution. Check if there is a reason behind the drop, or if it is due to natural factors such as seasonality, short-term campaigns, etc.
5. High-value campaigns with a significant drop in sessions
Some of your high-value campaigns have had a significant drop in sessions when comparing 2 days ago to the previous interval average. Check if there is a reason behind the drop, or if it is due to natural factors such as seasonality, short-term campaigns, etc.
6. Source/mediums with a significant drop in key events
Some of your source/mediums have had a significant drop in key events when comparing 2 days ago to the previous interval average using default attribution (DDA). Check if there is a reason behind the drop, or if it is due to natural factors such as seasonality, short-term campaigns, etc.
7. Source/mediums with a significant drop in key events (LNDA attribution)
Some of your source/mediums have had a significant drop in key events when comparing 2 days ago to the previous interval average using session attribution. Check if there is a reason behind the drop, or if it is due to natural factors such as seasonality, short-term campaigns, technical issues, or changes in tracking implementation.
Errors
1. Events with significant shifts in attribution
Some of your events have had a significantly change in the difference between the last non-direct and default attribution models. This could be due to changes in user journey patterns, cross-device tracking issues, campaign tagging inconsistencies, or integration problems between platforms. Review the affected source/medium and their full conversion paths to understand the attribution differences and take action accordingly.
2. Meta Ads source/mediums with a significant drop in sessions
We've detected a significant drop in sessions from Meta source/mediums when comparing 2 days ago to the previous interval average. Check if there is a reason behind the drop, or if it is due to natural factors such as seasonality, short-term campaigns, etc.
3. Google Ads source/mediums with a significant drop in sessions
We've detected a significant drop in sessions from Google Ads source/mediums when comparing 2 days ago to the previous interval average. Check if there is a reason behind the drop, or if it is due to natural factors such as seasonality, short-term campaigns, etc.