Cost per user is the total cost of acquiring a new customer divided by the number of new customers acquired.
Cost per user is a great way to determine how much it costs your company to acquire new customers.
For example, if your company spent $100,000 to acquire 100 new customers, your cost per user would be $1,000.
Cost per user is a great metric to track over time, as it allows you to see how your company's customer acquisition costs are trending. If your cost per user is trending upwards, you know that your company needs to work on cutting costs in order to acquire new customers.
It can be difficult to calculate Cost per User directly inside of Snowflake; that's where Causal comes in.
Causal is a modelling tool which lets you build models on top of your Snowflake data. You simply connect Causal to your Snowflake account, and then you can build formulae in Causal to calculate your Cost 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 Cost 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 Cost per User.