Profit per user is the amount of profit your company makes off of each of its customers.
Profit per user is calculated by dividing your total profit by the number of customers you have.
For example, if your company has 100 customers and made $100,000 in profit, your profit per user is $1000.
Profit per user is a great way to determine how much your company is making off of each of its customers. It's also a great way to determine how much each customer is worth to your company.
If your company has a high profit per user, it's a good indication that your company is doing well and has happy customers.
It can be difficult to calculate Profit per User directly inside of Google BigQuery; that's where Causal comes in.
Causal is a modelling tool which lets you build models on top of your Google BigQuery data. You simply connect Causal to your Google BigQuery account, and then you can build formulae in Causal to calculate your Profit 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 Profit 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 Profit per User.