This guide covers your store's three performance insights — Performance Insights, Top 100 Insights, and Account Health — and how to read and act on each.
For more detailed breakdowns like commission charges or promo code usage, see the Sales Transaction and Sales Disbursement Reports on the Reports page.
How the Data Works (Performance Insights & Top 100 Insights)
These two sections share the same refresh behaviour and filtering options:
Last updated — Data refreshes hourly; the Last updated timestamp shows the last completed hour. E.g. if it's currently 10:13am, data reflects up to 10:00am.Last Updated
Time Periods — Compare performance across:
Today (as of last update) vs. Yesterday
Last 7 days vs. Previous 7 days (excluding Today)
Last 30 days vs. Previous 30 days (excluding Today)
Customer Type Filter — Defaults to both Traveller and Non-Traveller combined; use the checkboxes to segment by customer type.Customer Type
Performance Insights
Total sales, order count, average order value, and refunds — a quick read on business trends and where to focus.
Metrics
Metric
Definition
Sales
Total sales at final price after merchant-funded discounts (excludes platform-funded discounts). Includes all statuses: Open, Ongoing, Cancelled, Refunded.
Orders
Total number of orders, all statuses included.
Average Order Value
Average revenue per order.
Refunded Sales
Total value refunded from cancellations/returns, including partial refunds, recorded by refund date.
Refunded Orders
Orders refunded in full — only counts if every item in the order was cancelled or returned.
Click View More for the full graphical breakdown. Choose which metrics to plot, and filter by Date Period: Real-Time, Yesterday, Last 7 Days, Last 30 Days, By Day, By Week, By Month, By Year.View More
How to Use This Data
Select a time frame — "By Year" shows data from the start of 2024; the current year only includes completed months (e.g. on 2 Jul 2025, June 2025 is the latest full month shown).Date Period
Compare year-over-year — e.g. 1 Jan–30 Jun 2025 against the same period in 2024.YoY Comparison
Investigate peaks — a spike (e.g. during a campaign) is worth cross-referencing against Top 100 Insights to see which products drove it, and considering repeating the same promotion.
Investigate dips — a decline is worth addressing with planned campaigns or BAU promotions during that period.
Top 100 Insights
Your top-performing products by sales and units sold, segmented by customer type and time period. Toggle between Top Sales and Top Units Sold (defaults to Top Sales).Top Unit Sold
Export — download data for your selected date range and filters.
Click View More to open the full Store Analytics page (Products tab), which extends to the full Top 100 with additional filters for refunded sales and units.View More
Table fields
Field
Definition
Product
Product image, name, and SKU number.
Order Type
Traveller or Non-Traveller (default shows both).
Sales
Total sales at final price after merchant-funded discounts. Includes all statuses.
Unit Sold
Total items sold, all statuses included.
Order TypeUnit Sold
How to Use This Data
Track new launches — monitor real-time sales to gauge success and plan restocking.
Track campaigns — compare before/during/after to see if targets were met.
Spot MoM/YoY trends — green marks growth (consider restocking); red marks decline (investigate — discounts or bundling may help).
Manage top and slow movers — keep momentum on top sellers; consider discounts, BAU promotions, or campaigns for slow ones.
Review refunds — repeated refunds may point to fulfilment delays, mismatched expectations, or unclear product descriptions.
Account Health
Two metrics that directly affect your store's operational standing. Account Health Metrics
Last updated — Real-time, updated with every refresh. (Different from the hourly refresh above.)
Metrics
Metric
Definition
Suggested Rate
Product Out of Stock (OOS)
% of your approved products currently OOS, as of the last update.
< 20%
Order Cancellation
% of orders cancelled by you in the last 14 days. Customer-initiated cancellations are excluded.
< 2%
How to Use This Data
Replenish stock in a timely manner.
Process orders promptly to minimise cancellations.
Keep product listings accurate to match customer expectations.
