Traffic Alerts: Monitor Website Traffic Changes with Anomaly Detection
Traffic alerts leverage advanced machine learning to monitor and notify you about significant changes in your website's traffic patterns. These alerts help identify spikes, drops, and insights into their causes, making it easier to understand your marketing channel performance.
How Traffic Alerts Work
The system uses anomaly detection to identify statistically significant traffic changes by comparing current traffic with data from the previous 28 days. Changes must fall outside 99% of the normal traffic distribution to trigger an alert. Sites need at least 28 days of traffic history for accurate pattern recognition.
Viewing and Understanding Anomalies
Anomalies appear as pulsating exclamation points on your traffic data chart. When clicking an alert, you'll see:
- Date of occurrence
- Traffic volume during the event
- Top affected pages and their traffic percentages
- Contributing traffic channels
For traffic spikes, you'll see:
- Up to two top-performing pages
- Percentage of traffic they represented
- Primary channels driving the increase
For traffic drops, you'll see:
- Up to two pages with decreased traffic
- Percentage of traffic decline
- Channels contributing to the decrease
Using Traffic Alerts Effectively
Monitor these insights to:
- Identify successful marketing strategies
- Detect traffic issues early
- Optimize underperforming channels
- Make data-driven marketing decisions
When traffic decreases from specific sources, experiment with different strategies to improve performance. Regular monitoring and adjustment of your approach based on these insights will help optimize your traffic growth.
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