Open Invoices is a metric that measures the total number of invoices that have been issued to customers but have not been marked as paid or voided.
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 Open Invoices using Databox, follow these steps:
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.
Available Balance metric in Stripe represents the funds that are currently available for immediate withdrawal or payout to connected accounts.
Application Fees is a feature that allows platform owners to charge a fee on top of payment transactions made by their connected accounts. This helps them earn revenue on top of the usage of the Stripe platform.
MRR (excl. Canceled Subscriptions) by Plan Name is a metric that measures the total Monthly Recurring Revenue generated by each subscription plan offered by a business excluding canceled subscriptions. It helps businesses assess the popularity and profitability of different subscription plans, and make data-driven decisions on pricing, promotions and product offering.
The Churned Customers by Plan Name metric tracks the percentage of customers who cancel or do not renew a subscription plan over a given period of time, categorized by the name of the plan they were subscribed to.
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.
Discounts is a metric that reflects the total revenue reduction due to discounts applied to monthly recurring revenue (MRR) of a business through Stripe.
Net Active Trials measures the change in the Active Trials over a specific time period.