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.
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 Pending (Unprocessed) Orders using Databox, follow these steps:
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.
Number of shipping charges associated with a sale or return during specified date range.
The Net Sales by Billing City metric shows the total revenue earned by a store based on the location of the customer's billing address, providing insights into the store's geographical revenue distribution.
The Orders by Billing Country metric shows the number of orders placed by customers based on their billing country. It helps track the geographic distribution of sales and is useful in making decisions related to marketing and advertising strategies.
Orders by Tag is a metric in Shopify that allows you to track the number and value of orders based on assigned tags. This gives you insight into customer behavior and trends, allowing you to make data-driven decisions on product offerings and marketing strategies.
Number of Shipping Charges associated with a Sale or return during the specified Date Range split up by Billing Country
The New Customers metric measures the number of unique visitors who have made a purchase on a Shopify store for the first time during a given period.
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.