Annual Contract Value per Paying Customer (ACV/PC) is the average amount of revenue generated by a customer over the course of a year.
ACV/PC is calculated by dividing the total annual revenue by the number of paying customers.
ACV/PC is a great metric for determining how much revenue your customers are generating for your company.
It can be difficult to calculate Annual Contract Value per Paying 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 Annual Contract Value per Paying 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 Annual Contract Value per Paying 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 Annual Contract Value per Paying Customer.