Traffic Alert: Monitor Site Traffic Changes with Machine Learning Analytics
Traffic alerts provide crucial insights into significant changes in your website's traffic patterns through advanced anomaly detection. This feature helps you monitor and analyze traffic trends across different marketing channels, making it easier to identify and respond to unusual patterns.
The system uses machine learning to detect anomalies by comparing current traffic against the past 28 days of data. When traffic levels fall outside 99% of the normal distribution, it's flagged as a major change, requiring at least 28 days of historical data for accurate pattern recognition.
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To view traffic anomalies:
- Navigate to the Analytics panel and select Traffic
- Choose your desired date range from the dropdown menu
- Click any alert icons to view detailed information
When reviewing anomaly details, you'll see:
- Date of occurrence
- Traffic volume during the anomaly
- Top affected pages (up to 2) and their traffic proportion
- Primary channels causing the change
This information helps you:
- Identify successful traffic drivers
- Adjust marketing strategies
- Optimize content performance
- Make data-driven decisions
You can provide feedback on the anomaly detection feature through the "Was this helpful?" option, helping improve the system's accuracy and usefulness.
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