Discounts (POS) metric measures the amount of money saved on purchases made using a discount code or promotion in Shopify's Point of Sale (POS) system. It helps track the success of sales promotions and evaluates the impact of discounts on revenue.
With Databox you can track all your metrics from various data sources in one place.
Used to show a simple Metric or to draw attention to one key number.
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 Discounts (POS) using Databox, follow these steps:
The (POS) metric will include data from the retail stores only. The non-(POS) Basic metric can include both online and POS values.
Equates to Product Selling Price x Ordered Quantity on during specified Date Range. Gross Sales does not include Discounts, Returns, Taxes, or Shipping.
Pending (Unprocessed) Orders metric in Shopify refers to the number of orders that have been created by customers but are yet to be fulfilled or shipped out. These orders require action from the store owner or staff to process and fulfill them.
Equates to product Selling Price x Ordered Quantity during the specified Date Range split up by New vs Returning Customers.
Equates to Gross Sales - Discounts - Returns + Taxes + Shipping Charges during the specified Date Range split up by New vs Returning Customers.
Equates to Gross Sales - Discounts - Returns + Taxes + Shipping Charges during the specified Date Range split up by Billing Country.
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.
The Low Inventory Products metric tracks the number of products in your Shopify store that have low stock levels. This helps you monitor inventory levels and avoid stockouts.
The Quantity by Product Vendor metric indicates the total number of units sold for each product vendor in a given time period. It helps determine which vendors are most successful and which products are driving sales.