Traffic alerts monitor spikes and drops in your website traffic using advanced machine learning anomaly detection. This tool creates annotations on your traffic data graph, providing insights into what causes significant traffic changes.

The system compares current traffic with the previous 28 days of data. To register as an anomaly, traffic must fall outside 99% of the normal distribution from this period. Your site needs at least 28 days of traffic history for the system to identify patterns effectively.

Viewing Anomalies:

• Open Analytics panel and select Traffic
• Choose date range from dropdown menu
• Click alert icons (shown as pulsating exclamation points) on the graph

Anomaly Details Include:

• Date of occurrence
• Traffic volume during the event
• For spikes: Top viewed pages and their traffic percentage
• For drops: Pages with decreased volume and their traffic percentage
• Contributing traffic channels

Using Anomaly Insights:

• Identify successful traffic drivers
• Spot declining traffic sources
• Test different marketing strategies
• Adjust content based on performance data
• Monitor marketing channel effectiveness

Feedback System:

• Rate each anomaly insight with thumbs up/down
• Leave detailed comments if needed
• Submit feedback to help improve the system

The machine learning algorithm continuously improves as it collects more data, providing increasingly accurate insights over time. While specific advice varies by website, use these insights to test and optimize your traffic-building strategies.

This tool requires 28 days of traffic data before it starts detecting anomalies. Keep monitoring and adjusting your strategies based on the insights provided to improve overall website performance.

Note: Traffic patterns and optimal strategies vary by website, content type, and audience. Experiment with different approaches to find what works best for your specific situation.

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