MRR Upgrades by New Plan Name is a metric that shows the amount of monthly recurring revenue generated from customers upgrading to a new pricing plan, organized by the specific plan they upgraded to.
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 MRR Upgrades by New Plan Name using Databox, follow these steps:
Failed Charges metric is a measure of the number and value of payments attempted but not successfully processed due to issues such as insufficient funds, invalid card information, or other errors.
New Customers metric represents the number of unique customers who have made their first payment or transaction with your business within a given time period.
Fees metric refers to the amount charged by Stripe for each successful transaction processed through the platform. This includes a percentage-based fee and a fixed fee per transaction.
Transactions metric represents the total number of successful payments processed through Stripe, including charges, refunds, and payouts, measured over a specific time period.
The Churned MRR (Delinquent) by Plan Name metric indicates the amount of lost revenue due to customers on subscription plans who have not paid on time or have canceled their subscription. The metric is displayed by the name of the plan.
New Subscriptions (incl. Trials and Inactive Plans) by Plan Name metric measures the number of new subscriptions including Trials, Active Plans, and Inactive Plans created for each plan in a given time frame, providing insights into the performance and popularity of different subscription plans.
The Active Trials metric refers to the count of ongoing trial subscriptions, providing insight into customer engagement and acquisition strategies.
New Trials metric counts the total number of new subscriptions that started with a free trial period over a specific time period.