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How to Calculate Revenue per Month in Google BigQuery

Making the most of your Google BigQuery data

What is Revenue per Month?

Revenue per month is the total revenue your company generates from its customers in a month.

Revenue per month is a very important metric for SaaS companies because it allows you to see how much money you're making from your customers on a monthly basis.

For example, if you have 100 customers and each of them pays you $10 per month, your revenue per month is $1,000.

How do you calculate Revenue per Month in Google BigQuery?

It can be difficult to calculate Revenue per Month 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 Revenue per Month.

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 Revenue per Month. 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.

A gif showing how users can adjust model inputs, and how they're reflected in dashboards

Causal lets you add visuals in a single click, letting you plot out graphs and distributions for metrics like Revenue per Month.

A gif showing how you can build visuals in Causal

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