Viewing Sales Analytics

The Sales Analytics unlocks valuable insights by displaying statistics on your sales and activities. Pinpoint strengths, identify opportunities, and gain a clear visual understanding of your data through each section. Let's delve deeper to understand the meaning behind each statistic and earnings data.

Analytics bar (earning information)

To view your analytics, simply log in, navigate to the Selling menu, and then click Analytics. Once on the analytics page, you'll see the analytics bar at the top.

Here you can view the following statistics and earnings information:

  • Earnings to date
    This metric shows your total earnings on the platform, including both cleared payments and any compensations handled by Customer Support to date.
  • Average selling price
    This is calculated by dividing your total earnings by the number of orders you've completed. It represents the average amount you earn per transaction.
  • Order completion rate
    This shows the percentage of your orders that were completed successfully (without cancellations) within the last 60 days.
  • On-time delivery
    Represents the overall percentage of orders delivered on time over the last 60 days.
  • Orders completed
    This represents how many overall orders you’ve completed since you opened your account.
  • Earned in (current month)
    Indicates the amount of money from orders that have entered the clearing period within the calendar month. For example, you will see revenues from completed orders and pending orders during this month.


This section displays a chart with information about your sales.
Select the time frame (last 30 days, yearly, etc.) for the statistics you'd like to view via a graph.

This graph shows:

  • Earned
    This shows the amount of net revenue you received.
  • Canceled
    This shows the amount of potential earnings you could have made by avoiding cancellations.
  • Completed
    This indicates the number of completed orders.
  • New orders
    This shows the number of new orders.

Note: By default, the last 30 days option is shown. You can use the drop-down box to select a different date range.

Repeat business 

This metric provides a benchmark for your repeat business performance relative to other sellers within your subcategory. Consequently, if you offer services across various subcategories, you'll have a distinct repeat business score for each subcategory.

  • Choose a subcategory - This section displays the available subcategories associated with your Gigs.
  • Your repeat business score - This score reflects how your repeat business compares to other sellers in your subcategory in the last 90 days, based on the factors shown on this page:
    • Repeat buyers: The number of buyers who ordered from you again within the last 90 days. 
    • Repeat buyers (%): The percentage of buyers who ordered from you again within the last 90 days. 
    • Earnings from repeat buyers: Your earnings from repeat orders (before any added fees/ taxes).
    • Earnings from repeat buyers (%): The percentage of your earnings from repeat buyers from your total earnings.



This section provides you with information about your canceled orders, including:

  • Initiated by
    This shows a breakdown of your canceled orders in the last 60 days, according to the type of cancellation. 
  • Top cancellations reasons
    This shows the top reasons for the cancellations. 


World Domination

This map will shade the countries where your buyers come from, showing the percentage of sales they each currently represent.


Seller Plus

This exclusive section is accessible only to Seller Plus members. Within this section, you'll find valuable insights regarding:

  • Gig performance: Track how well your Gigs are doing in the marketplace.
  • Orders breakdown: Monitor which sources drive the most orders for your Gig.
  • Top keywords: Analyze which keyword search terms are currently earning the most exposure for your Gig, leading customers to your Gig page, and landing you orders.
  • Keyword research: Identify new keywords by learning what customers are searching for—and how well those search terms perform.

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