Equates to product Selling Price x Ordered Quantity during specified Date Range split up by Product Vendor.
With Databox you can track all your metrics from various data sources in one place.
Databox is a business analytics software that allows you to track and visualize your most important metrics from any data source in one centralized platform.
To track Gross Sales by Product Vendor using Databox, follow these steps:
‘Gross Sales’ and ‘Discounts’ standard and dimensional metrics will be off by some cents on some days if ‘taxes included’ is checked in the connected Shopify account.
The reason for this, using the Discounts metric example, is that Databox has to calculate the actual discount from the values it gets from the API by subtracting the tax from it. This is done by calculating the tax with the tax rate and the discounted amount, which often yields decimal numbers, but Shopify has its own way of rounding these numbers in the User Interface. As a consequence, when observed with Daily granularity, some days may have discrepancies by a few cents due to rounding.
Affected metrics: Discounts ˪ by Billing City ˪ by Billing Country
Gross Sales ˪ by Billing City ˪ by Billing Country ˪ by Top Products ˪ by New vs Returning Customers ˪ by Product Vendor
Net Sales (POS) is a metric that measures the total amount of revenue generated by a business through point-of-sale transactions, after accounting for returns and discounts.
The Net Sales by Product Vendor metric shows the total sales revenue generated by each vendor that contributed to the sale of products on the Shopify store.
Equates to Gross Sales - Discounts - Returns + Taxes + Shipping Charges during the specified Date Range. Total Sales will be a positive number for a Sale on the date that an order was placed, and a negative number for a return on the date that an order was Refunded.
Equates to Gross Sales - Discounts - Returns + Taxes + Shipping Charges during the specified Date Range split up by Billing City.
The Orders by New vs returning customers metric compares the number of orders made by new customers to those made by returning customers. It helps track customer loyalty, acquisition efforts, and sales growth potential.
Number of Taxes associated with a Sale or return during the specified Date Range.
Number of Shipping Charges associated with a Sale or return during the specified Date Range split up by Billing City
This metric shows the number of units sold per specific variation (e.g. color, size) of a product. It helps measure the popularity of each variant and informs inventory management decisions.