Advanced analysis

Time-Series Decomposition

Separate daily traffic into an underlying trend, a weekly seasonal pattern, and leftover noise.

Time-Series Decomposition in GSC Wizard splitting Search Console traffic into trend, weekly seasonality and residual noise
Time-Series Decomposition (example data).
Run analysis

Choose clicks or impressions (at least 14 days of data), and the tool splits the series into trend, a 7-day seasonal component, and the residual, summarising the trend direction as growing, declining, or stable with a daily % change.

What you get

  • An original-plus-trend line chart and a weekly seasonal bar chart.
  • A residual scatter plot that highlights points beyond ±2 standard deviations as possible one-off events (algorithm updates, outages, competitor moves).
  • Export.

Part of Advanced analysis. Related: Change Point Detection, Anomaly Detection.