Today's Revenue, Sales and Rebills

"What's happening with my business today?"

This is an easy, simple way to see what is happening with your business. At a glance, you can see how much money, how much sales and how many rebills you have so far. You can also see a forecast for where you will end up the day on all three metrics.


The Terms


Calendar day Central European Time / GMT+2.

Today's Revenue

Amount of money generated during the day in US dollars.

Today's Sales

The number of new shopper's sales for membership during the day.

Today's Rebills

The number of rebills during the day.

The Visuals

The X axis (or horizontal axis)

The hours in the current day

The Y axis (or vertical axis)

Money in US dollars or a count.

Dark Blue Line

This line shows real progress over time. It is actual data.

Light Blue Line

This line shows the current forecast. This is updated approximately every hour based on all of your historical data.

Dark Grey Line

This line shows the historical results representing the average for the last 3 months. It provides context.

The Math

Today's Revenue

The sum of all transaction types, not including chargebacks, refunds, partial refunds, and when a user updates the payment method

Today’s Sales

The sum of all new sales during the day, not including rebills, cross-sales, upgrades, chargebacks, refunds, and when a user updates the payment method.

Today's Rebills

The sum of all rebills during the day. This includes upgrades and instant upgrades.


Forecasts use artificial intelligence to predict your future performance. It analyzes patterns from historical data and updates the forecast to take into account any changes in your business. The forecast updates every 15 minutes.

The Updates

This report refreshes every 15 minutes. It creates a new forecast based on the latest data.

The Filters

The filters are set by default to show the last 30 days compared to the previous days 31 to 60.

The last 30 days are called the "Selection" and the previous 31 to 60 days are called the "Comparison."

When you compare data ranges it is best to use the same amount of days in the selection and comparison.