Billing dashboard
Key benefits of using dashboard analytics data include:
- Tracking subscriber growth and churn
View active subscriptions and trials to understand how your subscriber base evolves. This helps you identify trends and address churn early. - Optimizing revenue
Monitor monthly recurring revenue (MRR) and other key financial metrics to ensure stable and predictable income. - Segmenting and comparing performance
Filter data by product, channel, or billing period to uncover which segments are driving success or need attention.
Dashboard overview
Overall tab presents your core subscription data in one place. At the top of the page, summary cards provide immediate visibility into your most critical metrics:
- Active subscriptions - shows the total number of active subscriptions for the current date
- Active trials - represents the total number of current active free and paid trials
- MRR - indicates the predictable monthly revenue generated by active subscriptions, which is calculated using the formula: MRR = Previous MRR + (New MRR + Churn MRR)
The charts that follow offer detailed visual analysis to help you track trends and performance across your key subscription data. Each chart delivers specific insights into various aspects of your business, from subscriber growth patterns to trial conversion effectiveness.
Active subscriptions
breakdown
This chart has bars to show the total number of active subscriptions over the selected period. A growth indicator displays percentage change compared to the previous period. This allows you to promptly spot trends, spikes, or drops in subscriber numbers over time.
New and churned
subscriptions
This chart shows stacked bars and a net change line to separate new signups from churned customers. Hovering over data points reveals exact counts, helping you identify periods of net positive or negative subscriber growth over the selected time frame.
Trial
conversion
This chart displays the number of trial customers and percentage who convert to paid subscriptions versus the previous period. Conversion rates are cohort-based, reflecting customers from the same trial start month, not total paid signups from that month.
Retention tab helps you understand how long customers stay subscribed after their initial subscription. By analyzing subscription cohorts over time, you can identify drop-off points, estimate customer lifetime, and understand how trials, renewals, and billing logic influence customer behavior.
The retention provides a cohort analysis that visualizes the percentage of subscriptions remaining active over time. You can analyze retention using two measurement approaches:
- invoice - based on invoice count
- month - based on calendar-aligned periods
The tab combines a retention chart with a line graph and a cohort table to help you analyze how subscriptions remain active over time.
Retention chart
The chart includes a line graph that shows aggregate retention across all cohorts. It helps you visualize how subscription activity changes over time. When you hover over points on the graph, a tooltip appears showing the retention percentage for that billing period.
Cohort table
The table displays subscription counts per cohort and billing period. Each row represents a cohort, covering subscriptions that started during a specific period. Each column shows how many of those subscriptions were still active in the subsequent billing periods.
For deeper analysis:
- select custom date ranges for granular or broad views
- group metrics by daily, weekly, or monthly intervals
- filter data by channel, product, or billing period
You can also combine multiple filters for detailed insights. For instance, focus on analyzing a specific product performance within a particular channel to understand what is driving growth or results in negative metrics.