Region
Where your orders ship to, and which places pay better per order.
The tables
Not every country is worth the same order. This page separates the places that pay full price from the ones you are buying with markdown.
Both tabs carry the same set, and Countries opens first: Total SalesTotal SalesYour true top line and the anchor for every efficiency metric., % Total Sales% Total SalesShows how important this segment is to overall revenue., OrdersOrdersA simple, powerful demand signal; watch its trend., AOVAOVYour average order size, and a direct lever on revenue., AOQAOQAverage basket size across your orders.2.5 or more is healthy, % Returning Customers% Returning CustomersYour retention pulse and the engine of durable growth.30% or more is healthy, % New Customers% New CustomersHow well you're bringing in new buyers.70% or more is healthy and % Discounts% DiscountsHow much of your revenue is given back as markdowns.Under 8% is healthy.
Each one is followed by a % △ column — the change against your comparison period — except % Total Sales, which has none.
Countries
Your best market is the one that pays full price twice, not the one at the top of the list.
One row = one country, read from the shipping address on the order.
How to scan it
- Leave the sort alone. It opens on Total Sales, highest first.
- Read across your top five rows to AOV and % Discounts.
- The row that matters: real Orders, AOV below your best country, % Discounts above it. You are buying that country's volume with markdown.
Then sort by % New Customers, highest first. A country high on new customers and low on Total Sales is a market that has started, not one that has failed.
Regions
Inside a big country, this shows whether the whole market is working or only one city is.
One row = one region or province name, again from the shipping address.
How to scan it
- Sort by Orders, highest first.
- Look across at AOQ and % Returning Customers.
- The row that matters: plenty of orders, AOQ close to 1, % Returning Customers low. That region buys one thing, once.
Filters
One control here changes the meaning of the numbers, and the rest change the view.
Date Range and the Previous period button next to it feed every % △ column. Change the comparison and every delta on both tabs changes with it.
The Filters button opens Country, Customer Type and Order Source. Country narrows both tabs; the dialog notes that source and customer type apply only to Shopify orders.
Search filters rows and nothing else.
The switch at the top right swaps the table for a bar, line or pie chart. Chart view adds a Dimensions picker (up to 10 countries), a Metrics picker (up to 3, starting on Total Sales) and a Compare checkbox.
Export downloads whichever view you are looking at.
Watch out for
Country and region both come from the shipping address. Orders without one land in a row called -, so digital goods and pickup orders collect there.
Regions are grouped by region name alone, not by country plus name. Two countries with a region of the same name share a single row — check Countries before you act on a region.
% Total Sales adds to 100% inside the table. It is a share of the countries listed, not of your store's Total Sales, so filtering to three countries re-bases all three.
% Returning Customers counts people, not orders. One customer who ships to two countries is counted in both rows, so the column will never add up to your store figure.
Typing in Search hides the totals row instead of recalculating it. Clear the box to bring it back.
Do this first
Open Countries and read the top five rows across to AOV and % Discounts.
The country in that five with the lowest AOV and the highest % Discounts is the one to re-price — not the smallest country at the bottom of the list.
See yoursYour countries and regions for the current date range, sorted by Total Sales.
Open Region →