> ## Documentation Index > Fetch the complete documentation index at: https://docs.bchic.de/llms.txt > Use this file to discover all available pages before exploring further. # Activity Timeline > Discover when your visitors are active, find peak hours and understand the distribution across hours, weekdays and time periods. Activity Timeline Overview ## Overview The Activity Timeline shows you when your visitors use your website. Instead of just seeing totals, you can identify temporal patterns: which hours bring the most traffic, which day of the week is the strongest and how activity is distributed between weekdays and weekends. This helps with concrete decisions: when to publish content, when to send newsletters, when to schedule maintenance windows or when your support team should be available. *** ## Finding the Dashboard The Activity Timeline is located under **User Behavior → Activity Timeline** in the sidebar. The page is always available and does not require any additional configuration. *** ## Time Range and Filters Use the toolbar at the top to select the analysis period: **24h**, **7d**, **Last 30 Days** or **90d**. Alternatively you can define a custom date range using the date picker. The arrow buttons let you navigate forward or backward step by step. The **Conversion Filter** on the right lets you narrow the view to sessions that include a specific conversion event. This way you see not just when visitors arrive, but when they convert. *** ## Dashboard Components ### KPI Cards The three cards at the top surface the key metrics at a glance: | Metric | Meaning | | --------------------- | ------------------------------------------------------------------------------ | | **Peak Hour** | The hour of the day with the highest average traffic in the selected period | | **Peak Day** | The day of the week with the highest average traffic | | **Weekday / Weekend** | Percentage split of sessions between Monday through Friday and Saturday/Sunday | ### Hourly Distribution / Weekly Distribution The bar chart in the middle has two views that you can switch between using the **Hourly** and **Weekly** tabs. **Hourly** shows the visitor distribution across the 24 hours of a day. Each hour has two bars: the current period (blue) and the previous comparison period (gray). The bar with the highest value is marked with a **Peak** label. **Weekly** shows the distribution across the seven days of the week in the same two-bar format. This lets you see at a glance whether usage patterns have shifted compared to the previous month or week. ### Weekly Heatmap The heatmap at the bottom combines both dimensions: days of the week (vertical) and hours of the day (horizontal). The darker a cell, the more traffic falls into that time slot. This lets you spot hotspots like "Thursday 1:00 PM" or quiet phases like "Sunday morning" without having to read individual numbers. *** ## Typical Analyses **Optimize content timing** Publish blog posts, social media content or newsletters at times when your audience is actually active. The hourly distribution shows you the window with the highest reach. **Evaluate weekday vs. weekend** A high weekend share (e.g. 40%+) suggests a B2C audience. If the weekday share is 80% or more, you are likely looking at a B2B profile. The distribution helps you tailor content and campaigns to the right usage pattern. **Plan maintenance windows** The heatmap reliably shows you the quietest time slots of the week. Schedule deployments, migrations or maintenance work during these phases to affect as few users as possible. **Identify conversion times** Use the conversion filter to show only sessions with a conversion. If your traffic peak is at 10:00 AM but your conversions happen at 2:00 PM, you know that users need time to make a decision. > Combine the Activity Timeline with User Groups to analyze peak times for different audiences separately. B2B visitors often have completely different timing than organic blog traffic.