Equates to Gross Sales - Discounts - Returns + Taxes + Shipping Charges during the specified Date Range split up by New vs Returning Customers.
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 Total sales by New vs returning customers using Databox, follow these steps:
Shopify dashboard template which will give you insights and a complete control over your Shopify store.
Use this Shopify advanced report to share high-level and in-depth metrics of your ecommerce store performance. Present key metrics like Orders, Net Sales, New Customers, and more.
Shopify metrics in Databox are Event type metrics and Databox obtains the relevant data based on calculations of data for the specific event entity, such as an Order. Each entity received via the API will be stored in our database as a separate entry and each entry will have its own timestamp associated with it – the moment the event occurred. As a consequence, in cases when the Order that occurred in the past is edited, changed, or deleted in the Shopify User Interface after it has already been completed and synced to Databox, Databox cannot report on such historical data changes, which will result in discrepancies when data from Shopify is compared to values in Databox for the past Date Range.
Shopify can distinguish between returning and new customers differently in their User Interface than Databox can from their API, therefore the data discrepancy might be present for this metric in the following case.
Databox obtains data on the current state of a customer, so if the customer had never placed an order before and then placed two separate orders one after the other in the selected Date Range, Databox sees it as a ‘Returning’ customer with value 2 (Orders) present in the API. This would then indicate that both these orders were made from a ‘Returning’ customer, which is not technically correct since the first order made by the customer should be counted as made by a ‘New’ customer.
Hence, in Databox the value for the ‘Returning’ dimension will be higher and the value for the ‘New’ dimension lower than in the Shopify User Interface when the new customer is making multiple orders right after their first purchase.
Equates to Product Selling Price x Ordered Quantity on during specified Date Range. Gross Sales does not include Discounts, Returns, Taxes, or Shipping.
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.
Equates to product Selling Price x Ordered Quantity during the specified Date Range split up by Top Sold Products.
Number of Taxes associated with a Sale or return during the specified Date Range split up by Billing Country
This metric allows Shopify store owners to track the effectiveness of their discount campaigns based on the location of the customer's billing city. It provides insights on which cities are responding well to discounts and can aid in targeting future promotions.
Returns metric measures the number and percentage of orders that are returned by customers. This helps to track customer satisfaction and identify potential issues with product quality or delivery.
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.
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.