Number of Shipping Charges associated with a Sale or return during the specified Date Range.
With Databox you can track all your metrics from various data sources in one place.
Shipping is an ecommerce metric that measures a business’s efficiency in delivering goods to buyers.
It encompasses a variety of data that directly impacts the success of an online store.
These include shipping cost as a percentage of revenue, average shipping time, shipping accuracy, on-time delivery rate, shipping return rate, shipping cost per order, and similar indicators.
To calculate the effectiveness of shipping services, there are several different performance indicators you can measure.
Now, the exact key metrics you include vary among businesses, but they generally include on-time delivery rate, shipping accuracy, shipping return rate, and customer satisfaction with shipping.
Here is one general formula you can follow:
Shipping Effectiveness = (On-Time Delivery Rate + Shipping Accuracy + Customer Satisfaction with Shipping) / 3
Again, the formula can include more or fewer metrics, depending on the specific needs and goals of the ecommerce business.
Let’s say an ecommerce store wants to evaluate its shipping effectiveness for the last month and it collected this data:
Let’s put the formula into action:
Shipping Effectiveness = (90% + 95% + 4.5) / 3 = 89.83%
In this example, the shipping effectiveness of the ecommerce store for the given period is approximately 89.83%.
This means that the shipping services are performing well, but there’s still room for improvement.
Optimizing shipping-related metrics is crucial for any ecommerce business. It contributes to more sales, better customer loyalty, and an overall positive brand reputation.
To improve your shipping services, you need to evaluate your weakest areas and start from there properly.
That said, here are some general strategies that can be useful in any ecommerce business:
More resources to help you improve:
Used to show a simple Metric or to draw attention to one key number.
Used to illustrate numerical proportions through the size of the slices.
Used to show comparisons between values.
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 Shipping using Databox, follow these steps:
Elevate your Shopify store with Databox's E-commerce Sales Performance template. Gain insights on Total Sales, Orders, Gross/Net Sales, and Average Order Value empower data-driven decisions, fostering growth and maximizing revenue.
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.
In shipping, a KPI is a measurable metric used to evaluate the efficiency of the shipping process.
Common shipping KPIs include on-time delivery rate, shipping accuracy, shipping cost as a percentage of revenue, average shipping time, and customer satisfaction with shipping.
Unfulfilled orders is a metric that measures the number of orders that have not yet been shipped or delivered to the customer. It helps merchants keep track of outstanding orders and ensure timely fulfillment.
Equates to product Selling Price x Ordered Quantity during the specified Date Range split up by Billing Country.
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.
Equates to Gross Sales - Discounts - Returns + Taxes + Shipping Charges during the specified Date Range split up by Billing City.
Number of Shipping Charges associated with a Sale or return during the specified Date Range split up by Billing Country
Number of Shipping Charges associated with a Sale or return during the specified Date Range split up by Billing City
Products metric indicates the total number of products available for sale on a Shopify store. It measures store catalog size and is crucial for tracking inventory and sales performance.
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.