This metric shows the total recurring revenue generated by each subscription plan, allowing you to analyze which plans are driving the most revenue and make informed pricing and marketing decisions.
With Databox you can track all your metrics from various data sources in one place.
Used to show comparisons between values.
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 Existing Recurring Revenue by Plan ID using Databox, follow these steps:
This dashboard allows you to track all the key SaaS metrics for your company in real-time.
Report for SaaS revenue growth and churn management, providing detailed insights into key metrics like LTV, ARPU, MRR, churn, upgrades, and revenue retention.
Downgraded Recurring Revenue measures the reduction in monthly or annual recurring revenue (MRR/ARR) due to customers downgrading their subscription plans or packages.
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.
MRR is a crucial metric for subscription-based businesses that measures the predictable, recurring revenue generated from subscriptions each month.
The Churned Customers Delinquent metric measures the total revenue lost from past customers who left your subscription service and still owe payment.
Churned Recurring Revenue Voluntary measures the loss of revenue due to customer-initiated cancellations of their subscription or membership.
Churned Trialing Customers measures the number of trial users who cancelled their subscription before the end of the trial period.
Customer retention rate is the percentage of customers that return and continue to do business with a company. It is a measure of customer loyalty and satisfaction.
Revenue Retention Rate measures how much recurring revenue you retain from existing customers over a period of time, after accounting for churn and upgrades/downgrades.