Calculate Monthly Recurring Revenue per Paying Customer in Expensify

Making the most of your
Expensify
data

What is Monthly Recurring Revenue per Paying Customer?

Monthly Recurring Revenue per Paying Customer (MRR/PC) is the amount of money your company makes from each of its paying customers each month.

MRR/PC can be calculated by dividing your company's total monthly recurring revenue by the number of paying customers you have.

MRR/PC is a great metric to use when evaluating your company's financial health because it takes into account the amount of money your company makes from its paying customers each month.

MRR/PC is also a great metric to use when evaluating your company's customer success because it takes into account the amount of money your company makes from its paying customers each month.

How do you calculate Monthly Recurring Revenue per Paying Customer in Expensify?

It can be difficult to calculate Monthly Recurring Revenue per Paying Customer directly inside of Expensify; that's where Causal comes in.

Causal is a modelling tool which lets you build models on top of your Expensify data. You simply connect Causal to your Expensify account, and then you can build formulae in Causal to calculate your Monthly Recurring Revenue per Paying Customer.

What is Causal?

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 Paying Customer. This makes your models easy to understand and quick to build, so you can spend minutes, not days, on your models.

A comparison of formulae in Excel and Causal

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 Paying Customer.

PERSONAL FINANCE
Buy vs Rent
Should you buy a house or rent?
Startur
B2B SaaS Revenue
Forecast your inbound and outbound leads to determine revenue, and understand what kind of sales funnel you need to hit your revenue targets.
FINANCE
Detailed Headcount Model
Understand the breakdown of your headcount and payroll costs by Department (Sales, Engineering, etc.) and plan your future hires.

Get started today with Causal

Start building your own Monthly Recurring Revenue per Paying Customer models, and connect them to your Expensify data.

How to Calculate Monthly Recurring Revenue per Paying Customer in Expensify

Making the most of your Expensify data

What is Monthly Recurring Revenue per Paying Customer?

Monthly Recurring Revenue per Paying Customer (MRR/PC) is the amount of money your company makes from each of its paying customers each month.

MRR/PC can be calculated by dividing your company's total monthly recurring revenue by the number of paying customers you have.

MRR/PC is a great metric to use when evaluating your company's financial health because it takes into account the amount of money your company makes from its paying customers each month.

MRR/PC is also a great metric to use when evaluating your company's customer success because it takes into account the amount of money your company makes from its paying customers each month.

How do you calculate Monthly Recurring Revenue per Paying Customer in Expensify?

It can be difficult to calculate Monthly Recurring Revenue per Paying Customer directly inside of Expensify; that's where Causal comes in.

Causal is a modelling tool which lets you build models on top of your Expensify data. You simply connect Causal to your Expensify account, and then you can build formulae in Causal to calculate your Monthly Recurring Revenue per Paying Customer.

What is Causal?

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 Paying Customer. This makes your models easy to understand and quick to build, so you can spend minutes, not days, on your models.

A comparison of formulae in Excel and Causal

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 Paying Customer.

​