Activity Patterns
Heatmap analysis of user activity by month, day, hour and peak engagement times.
Updated: Dec 2025
What is Activity Patterns?
Activity Patterns is a report that shows in which months, days and hours your users are most active. Every chart on the page is a heatmap: instead of lines and bars, the color intensity of each cell shows activity volume, so the busiest times stand out at a glance.
This dashboard splits into two key parts:
1. Four activity views
Other Analytics reports tell you what users see and where they come from; this part adds the third dimension: when. Imagine you want to know the best moment to publish content or launch a campaign; Monthly Activity shows the seasonal pattern of the last 12 months, Daily Activity tells you which weekdays are busiest, Hourly Activity tells you the peak and quiet hours, and Activity Time Map combines both dimensions into one matrix so you find the single most precise moment. With that answer you can move content and campaigns to the highest-yield times, and schedule technical updates for the quiet hours.
2. No connection needed — just read the colors
This report reads data directly from Shahin's own pixel visit records; no external account connection is needed, and charts fill in once the active project has a few days of data. Choose the date range and one of three metrics (pageviews, sessions or users); both apply to Daily Activity, Hourly Activity and the Time Map at once (Monthly Activity is the exception and always shows the last 12 months). A darker color means more activity.
Privacy: this report only reads aggregated data from Shahin's own pixel and collects nothing new from your site's users; no personal or identifying end-user information is shown.
FAQ
These two sections serve different purposes; the Realtime report shows the current, last-few-minutes state for live monitoring, while Activity Patterns analyzes aggregated data to reveal the recurring rhythms and golden hours of user presence across days, weeks, and months, so it can serve as the basis for long-term planning.
Each cell’s color intensity is calculated from the volume of pageviews, the number of users, and active sessions within that time window. The more engagement and user presence there is in a given hour or day, the darker that cell is shown, so traffic peaks and troughs are clear at a glance.
In the “day × hour” view, the lightest-colored cells indicate the lowest user presence, providing the safest window for deploys and infrastructure updates.
The darkest cells of the matrix on the target days mark the peak user-presence window, which carries the highest open rate and initial engagement.
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