Daily User Metrics Trends - Cosmise Attribution
Trend daily totals for new, returning and active users to spot momentum and dips.
Behavioral Breakdown of Users
Each bar shows the proportional breakdown of daily users, grouped into the following segments:
- active users: Users who performed high-intent actions like add to cart, checkout, or purchase on this day. These users may also be new or returning.
- new users: Users whose very first interaction with the site occurred on this day. They had no recorded activity before this date.
- returning users: Users who first visited before the selected date range and came back during this day. They are not counted as new.
What does this show?
Each row is a calendar day. The bar for that day is split into Active users, New users, and Returning users to show the mix of people who interacted on that date.
What is on screen?
- Segments: Active users, New users, Returning users
- Per day: one stacked bar divided by segment share
- Left labels: the day and month for each row
- Legend: color keys for each segment
- Segment share formula: segment count ÷ sum of segments for that day × 100
How can I read this?
Scan down the days and compare the share of each color within a row to see how the mix changes. A larger Active users share means more people took high-intent actions that day. New users and Returning users indicate whether the audience skewed first-time or previous visitors. A person can appear in more than one segment; read the bar as a composition of segment counts for that day.
Examples
- If Active users occupies most of the bar on 14 Sep, more people took high-intent actions that day.
- If New users is a thin slice on 15 Sep while Returning users is large, most people that day had visited before.
Interactions
Hover a colored segment to see its label, the count for that day, and a short definition. Colors match the legend below the chart.
Notes on the selected dates
All values reflect the days listed on the left. When the days shown change in your view, the bars update to match.
Behavioral Breakdown of Users — FAQ

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