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.
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 Fees using Databox, follow these steps:
Payments metric refers to the number of successful transactions processed by a business or organization using Stripe payment processing technology. It provides insight into revenue, customer buying behavior, and financial performance.
Successful Charges metric measures the total number of completed transactions that were successfully charged using Stripe's payment processing system.
Discounts (excl. Canceled Subscriptions) is a metric that reflects the total revenue reduction due to discounts applied to monthly recurring revenue (MRR) of a business through Stripe.
New ARR (Annual Recurring Revenue) is a measure of the total new revenue earned in a given period through new customer acquisitions or upgrades in pricing or plans.
Churned ARR measures the loss in recurring revenue from existing customers over a year. It helps companies understand their customer retention rate and revenue growth potential.
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 New Subscriptions metric tracks the number of new recurring payments or subscription sign-ups made by customers in a given period of time.
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.