WebTrafficWatch

WebTrafficWatch automates the analysis of Google Analytics 4 and Google Search Console data to deliver weekly reports that highlight significant metric changes. Aimed at providing insights without requiring advanced statistical knowledge, WebTrafficWatch serves as a virtual data scientist for marketing teams and solo entrepreneurs. Utilizing custom linear models based on historical data, the tool identifies and marks unusual deviations in metrics by comparing the past week's data to expected values.

WebTrafficWatch is engineered to handle varying traffic patterns by distinguishing between weekday and weekend behaviors, resulting in cleaner insights and precise trend analysis. The tool strategically omits data outliers, such as those from viral spikes, ensuring users see genuine trends rather than anomalies. Each week, it performs an automatic anomaly check, listing any performance outside the expected range in a plain-language report, making it understandable for individuals without statistical backgrounds.

For users interested in the technical details, WebTrafficWatch offers access to regression equations, R² values, and confidence intervals for each model. This lightweight data science overlay on existing analytics answers whether noteworthy events occurred during the past week, offering a straightforward way to connect and monitor necessary metrics without the need for a credit card to start.