Gross Profit per Customer (GPC) is the total revenue your company makes from each customer, divided by the number of customers you have.
Gross Profit per Customer is a very important metric because it shows how much money your company is making from each customer. If you have a high GPC, it means that you are making a lot of money from each customer, which is a good thing.
Gross Profit per Customer is calculated by dividing your total revenue by the total number of customers you have.
It can be difficult to calculate Gross Profit per Customer 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 Gross Profit 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 Gross Profit 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 Gross Profit per Customer.