Monthly Recurring Revenue per Customer (MRR/C) is a metric that shows how much revenue your company generates from each customer on a monthly basis.
MRR/C is calculated by dividing the total monthly recurring revenue by the number of customers you have.
MRR/C is a great metric to track because it shows how much revenue your company is generating from each customer. It's also a great way to compare your company's revenue to the revenue of your competitors.
MRR/C is also a great way to determine how much money your company is making from your existing customers.
It can be difficult to calculate Monthly Recurring Revenue per Customer directly inside of Braintree; that's where Causal comes in.
Causal is a modelling tool which lets you build models on top of your Braintree data. You simply connect Causal to your Braintree account, and then you can build formulae in Causal to calculate your Monthly Recurring Revenue per Customer.
Causal lets you build models effortlessly and share them with interactive, visual dashboards that everyone will understand.
In Causal, you build your models out of variables, which you can then link together in simple plain-English formulae to calculate metrics like Monthly Recurring Revenue per Customer. This makes your models easy to understand and quick to build, so you can spend minutes, not days, on your models.
When you're done, you can share the link to your model with stakeholders. They'll be able to view your model's outputs in a visual dashboard, rather than a jumble of tabs and complex formulae. The dashboards are interactive, letting viewers tweak your assumptions to see how they affect the model's outputs.
Causal lets you add visuals in a single click, letting you plot out graphs and distributions for metrics like Monthly Recurring Revenue per Customer.