The New Subscriptions (incl. Trials) metric tracks the number of new recurring payments or subscription sign-ups including Trials made by customers in 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 New Subscriptions (incl. Trials) using Databox, follow these steps:
Gross Volume measures a company's total transaction value, incl. revenue, fees, taxes, and refunds. Key for growth, pricing, and data-driven decisions.
Churned MRR by Plan Name is a metric that measures the lost revenue from canceled or downgraded subscriptions, segmented by different plan names. It helps to identify which plans have higher or lower churn rates and take actions to reduce churn.
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.
Churned Customers (Delinquent) metric measures the number of customers who fail to pay recurring payments and cancel their subscription. This helps to track the loss of revenue due to customer attrition.
Upgrades is a Stripe metric that measures the increase in revenue generated by customers who have upgraded to a higher pricing plan or subscription level.
MRR Downgrades by Previous Plan Name measures the decrease in monthly recurring revenue due to customers downgrading their subscription plan, based on their previous plan tier.
Overdue Invoices Amount metric in Stripe tracks the total amount of unpaid invoices that are past their due date, providing an overview of the outstanding balance that customers owe.
Net Active Trials measures the change in the Active Trials over a specific time period.