We update this document regularly to let you know what changed.

Table of contents

21 September 2026

Filter your order list by date and order name ๐Ÿš€

The order overview now has a date range and a search box. Pick a start and end date to see only the orders placed in that window, or type an order name to jump straight to it. Your selection is remembered if you refresh the page, so you can share or bookmark a filtered view.

If you need more filters, let us know.

17 September 2026

Sort and arrange the metrics view of Profit and Loss ๐Ÿš€

The Profit and Loss page has two layouts, and the one that shows metrics as columns now behaves like the by-country table. Click a heading to sort by that metric, and hide, show or reorder the columns you care about. Your arrangement is saved for your store, so it is still there next time you open the page. Columns that are entirely zero are hidden by default and can be switched back on.

Ended Facebook ads no longer show up in the ad check ๐Ÿงน

Facebook reports an ad as active even after the end date of its budget has passed, so the ad check kept asking you to fix tracking on ads that stopped running. Ads whose scheduled end is in the past are now left out of the check, so what you see is limited to ads that can actually still spend.

Fall back to the Shopify cost per product ๐Ÿงน

Custom cost of goods can leave some units without a cost: an order from a country you have no entry for, an order placed before your first start date, or a variant you never configured. Each product now has a setting that decides whether those units use the cost stored in Shopify instead of being counted as having no cost.

16 September 2026

Net sales on your dashboard ๐Ÿš€

The Shopify group on the dashboard has a new Net sales card: gross sales minus discounts and returns. If you also want it inside the detailed breakdown, turn on "Show net sales in the breakdown" in the dashboard customization; it then appears as a subtotal right after Returns.

Discount and refund rates, and profit per unit, in Product analytics ๐Ÿš€

Product analytics now tells you how heavily each product is discounted, what share of sold units comes back, and how much profit each unit earns before and after returns. Four new optional columns cover this, and new highlight cards call out the most discounted product and the highest refund rate.