Profit per Transaction is the amount of profit your company makes on each transaction. It's calculated by dividing the total profit by the total number of transactions.
For example, if your company made $100,000 in profit and had 100 transactions, your profit per transaction is $1,000.
This metric is important because it helps you determine how much profit your company is making on each customer. If your profit per transaction is low, it's a sign that your company is not making enough money from each customer.
If you have a low profit per transaction, you need to figure out why and take steps to improve it.
It can be difficult to calculate Profit per Transaction 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 Profit per Transaction.
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 Profit per Transaction. 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 Profit per Transaction.