Without a doubt, e-commerce is a great business model. You get people into your store, you get them to buy as many products as possible and you make sure they have a good purchase experience.
So let's take a closer look at your Items Sold!
Definitions
The report reveals information about the number of items you have sold and their average selling price. But before you dive into data analysis, let's make sure that we are on the same page with some definitions. You can monitor the items sold based on the following metrics:
Gross Items Sold | Number of gross items sold at this time |
Items per Order | Average number of items per order, calculated by Sum of Items / Number of Orders |
Average Item Price | Average price per item, calculated by Sum of Gross Revenue / Number of Items |
Our default revenue definition excludes VAT, Shipping Revenue, and Discounts.
Activating the RX Forecastâ„¢ will provide you in addition with three scenarios for the upcoming months based.
To activate
Use Cases
This report provides you with the most important metrics of your items. Use the data and:
- Find out if you are growing by selling more single items or higher priced items
- Identify capacity issues in your logistics
- Make predictions for inventory management
- Validate your cross-selling improvements
- Validate your discounts strategy and keep track of pricing changes
What You Need
For this report to work properly, the following data must be imported:
- Order ID
- Order Date
- Stock Keeping Unit (SKU)
- Items Sold
- Item Price
- VAT
- Discounts
- Shipping Revenue
How to Get More Details
The metrics are shown as a color-coded line chart followed by absolute figures. Trends get even more clear by the growth rate comparing each data point with the previous period.
For running observation periods that have not yet been completed, e.g. the current week or month, RX extrapolates the run rate based on the historical data.
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