BigCommerce Analytics | Orders Report
What We'll Cover
The Orders report provides a snapshot of all orders placed on your site. It can help you gain a better understanding of how your orders break down into products, how they’re discounted, and the overall average order value (AOV). Monitoring these key statistics regularly and tracking any sudden drops or increases over time will help you understand how total orders are impacting sales growth.
The Orders Report can be viewed under Analytics › Orders.
Top Line Statistics
Your Orders report starts with top line statistics including:
- Total Orders — total number of completed orders in a given time period
- Units Sold — total number of units of products sold
- Revenue — sale price minus order discounts, item returns and item refunds. These are returns from orders that happened in the given time period, rather than only returns that happened in the time period.
- % Orders Discounted — percentage of all orders that were discounted at the order level
- AOV — Average Order Value; the average amount of revenue from each completed order, not including returned and refunded orders
The percentages listed for each statistic show the change over the previous time period (e.g. this month vs. last month).
|Total Orders||total number of completed orders in a given time period||sum (completed orders)|
|Units Sold||total number of units of products sold||sum (unique products across all completed orders)|
|Revenue||sale price minus order discounts, item returns and item refunds||(sum (line item sale price - order level discounts) * qty)) - (sum (line item price for returned + refunded products from orders in the time period) * qty))|
|% Orders Discounted||percentage of all orders that were discounted at the order level||sum (completed orders discounted at order level) / sum (completed orders))|
|AOV||the average amount of revenue from each completed order, not including returned and refunded orders||revenue / (completed orders - returned and refunded orders)|
Take Action with Data — Monitoring these key statistics regularly and tracking any sudden drops or increases over time will help you understand how total orders are impacting sales growth. This is a great spot to check the impact of any discounts or how adding/removing products from your shop influenced total orders.
Watching how these metrics move with each other can help you drive useful insights. Some questions to consider include:
- Do total orders increase in relation to increasing products offered on your shop? Or are they inversely related?
- Does offering greater and higher discounts increase Total Orders?
- Does offering higher discounts increase or decrease your average order value (AOV)?
Taking a close look at these questions and watching how products and total orders are related is useful in identifying the right amount of products to list in your shop. If total products and total orders are inversely related, it could suggest that your customers prefer a simpler assortment.
Monitoring the impact of discounting on other metrics is key to tracking profitability. Total orders should increase as discounts increase to help offset the lower price point. AOV should also increase as customers are hopefully purchasing more with the discount than they would’ve without it. If you find that this isn’t the case with your shop, you might want to reevaluate whether discounting is the right option (and of course there are exceptions that fall outside this scenario where that would make sense.)
Orders Over Time Graph
The Orders graph charts completed orders over the selected period of time. The graph in purple shows the completed orders for your current date range, and the graph in orange represents the completed orders from the date range you are comparing with. Use your mouse to hover over a data point to view exact values.
If the graph is showing Today, the orders will be hourly and each calculation will be for the sum total of completed orders from one hour (e.g. 2-3pm, 3-4pm). If the graph is showing more than one day in the observe period, the orders will be daily and each calculation will be for the sum total of completed orders from one day.
The Orders table lists all orders from your store and can be sorted by clicking the arrows next to any column heading. Clicking the order number will take you to the Order Details Report, where you can find more granular information about that specific order.
Order Details Report
This report shows you the product summary for a specific order, as well as who the customer was, how many items were ordered or the discount dollar value applied at the order level. You can use this chart to dig deeper into how individual items are selling and to monitor daily orders. All guest orders are lumped into an Anonymous placeholder customer.
- Using BigCommerce Analytics
- Benefits of BigCommerce Analytics
- BigCommerce Analytics | Store Overview Report
- BigCommerce Analytics | Real Time Report
- BigCommerce Analytics | Merchandising Report
- BigCommerce Analytics | Marketing Report
- BigCommerce Analytics | Customers Report
- BigCommerce Analytics | Purchase Funnel Report
- BigCommerce Analytics | Abandoned Cart Report
- BigCommerce Analytics | Abandoned Cart Recovery Report
- BigCommerce Analytics | In-Store Search Report
- BigCommerce Analytics | Sales Tax Report
- BigCommerce Analytics | Insights Report