Revenue growth rate is the percentage by which your revenue has increased over a certain period of time.
Revenue growth rate is calculated by dividing the total revenue generated in a certain time period by the total revenue generated in the previous time period.
For example, if your company generated $100,000 in revenue in the first month of the quarter, and $120,000 in revenue in the second month of the quarter, your revenue growth rate would be 20%.
It can be difficult to calculate Revenue Growth Rate 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 Growth Rate.
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 Growth Rate. 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 Growth Rate.