Paid Invoices Amount metric measures the total value of invoices that have been successfully paid by customers using Stripe.
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 Paid Invoices Amount using Databox, follow these steps:
Successful Charges metric measures the total number of completed transactions that were successfully charged using Stripe's payment processing system.
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.
The New Subscriptions metric tracks the number of new recurring payments or subscription sign-ups made by customers in a given period of time.
The Downgrades by Previous Plan Name metric measures the number of times customers have switched to a lower-tier subscription plan from the specific plan they were previously subscribed to.
MRR (Monthly Recurring Revenue) is a metric that shows the predictable monthly revenue generated by a subscription-based business model. It includes all recurring charges and allows businesses to monitor customer retention and growth.
MRR by Plan Name is a metric that measures the total Monthly Recurring Revenue generated by each subscription plan offered by a business. It helps businesses assess the popularity and profitability of different subscription plans, and make data-driven decisions on pricing, promotions and product offering.
ARR by Plan Name is a metric that calculates the total Annual Recurring Revenue generated by each subscription plan in a given period, providing insights into which plans are driving the most revenue for a business.
New Trials metric counts the total number of new subscriptions that started with a free trial period over a specific time period.