Orders Report | Guide to BigCommerce Analytics

The Orders report provides a snapshot of all orders placed on your site. Gain a better understanding of how your orders break down into products, how they’re discounted, and the overall average order value (AOV).

Animated image identifying the different sections of the BigCommerce Analytics Orders report.

Your Orders report starts with top line statistics including: total orders, units sold, revenue, % of orders discounted and average order value (AOV). The percentages listed for each statistic show the change over the previous time period (e.g. this month vs. last month).

The Top Line Statistics section.

The Orders graph charts completed orders over the selected period of time. A second bar will show the orders from the previous time period. Note that the the Y-axis will only show the dates from the current time period. Use your mouse to hover over a data point to view exact values.

The Total Orders Over Time section.

The Orders table lists all orders from your store and can be sorted by clicking the arrows next to any column heading.

The Orders table.

By clicking the order number will take you to the order details where you can find more granular information like when the order was planned, who the customer was, how many items were ordered and 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.

The Order Detail page.

 

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 is 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.)

 
Learn More:
  • Want to learn more about BigCommerce Analytics including information on each report, supported currencies and which order status are factored in? See Using BigCommerce Analytics.
  • Want to find out how to export specific Analytics reports? See Exporting Analytics Reports.
  • Follow our BigCommerce Blog to learn more about industry best practices and recent trends that can help you grow your online business.
  • Need advice? Connect with our Community of expert store owners and BigCommerce staff regarding this subject.

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