Revenue Churn Rate measures the amount of revenue lost from canceled or downgraded subscriptions over a given period of time.
With Databox you can track all your metrics from various data sources in one place.
Used to show a simple Metric or to draw attention to one key number.
Databox is a business analytics software that allows you to track and visualize your most important metrics from any data source in one centralized platform.
To track Revenue Churn Rate using Databox, follow these steps:
Optimize leadership insights with the "SaaS MRR Drilldown for Weekly Monitoring" dashboard. Focused on key revenue metrics like Net New MRR and Net New Customers, it offers simple, numerical visualizations for a comprehensive view of your growth.
The Reactivated Customers by Plan ID metric measures the number of customers who were previously inactive but have returned and resumed their subscription to a specific plan.
ARPU is the measure of monthly or annual revenue generated by a single customer. It helps to understand the overall performance of a subscription business by tracking revenue trends.
The Churned Customers Delinquent metric measures the total revenue lost from past customers who left your subscription service and still owe payment.
Converted Customers is the number of paying customers who converted from free trials or other conversion events to become paying subscribers during a specific time period.
Measures monthly recurring revenue (MRR) generated from existing customers without factoring in any new sales or upgrades in a given time period, providing insight into the stability of the customer base.
Net New MRR is a metric that measures the total amount of revenue generated from new customers minus the revenue lost from cancellations and downgrades.
Lifetime Value (LTV) measures the total revenue a customer will bring to a business over their entire lifespan as a customer.
The Plan Change Rate by Plan ID metric measures the percentage of customers who switch from one subscription plan to another over a specific time period, based on the unique identifier assigned to each plan.