Revenue per user is a simple metric that shows how much money your company makes per user.
Revenue per user is calculated by dividing the total revenue by the number of users.
For example, if your company made $100,000 in revenue and you have 100 users, your revenue per user is $1,000.
Revenue per user is a great metric to use when you're trying to figure out how much money your company makes per customer. It's also a great metric to use when you're trying to figure out how much money your company makes per employee.
For example, if you have 100 employees and you make $1,000 per user, your company makes $100,000 in revenue.
It can be difficult to calculate Revenue per User directly inside of VISMA e-conomic; that's where Causal comes in.
Causal is a modelling tool which lets you build models on top of your VISMA e-conomic data. You simply connect Causal to your VISMA e-conomic account, and then you can build formulae in Causal to calculate your Revenue per User.
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 Revenue per User. 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 Revenue per User.