Contents

What orders and returns teach the catalog

Coverage alone sends you to the emptiest field. Your orders and returns send you to the one that costs you most: blanks on products that sell and come back, values your customers contradict when they return an item, sizes that ran out on products people wear. Enrichment reads them and shows them below the attribute cards.

You find these panels in Catalog > Catalog > Enrichment, below Where the data is missing. They need a connected store with its orders.

Start from the attribute that matters most

At the top, a message names the attribute to start from: it says on how many products it's empty, how many of those actually sell, and how many returned pieces they account for.

Attributes worth filling first then ranks every attribute:

ColumnWhat it shows
AttributeThe attribute.
Filled in, where it appliesIts coverage, counted only in the product families that use it: a product with no legs isn't missing a leg style.
BlanksProducts where it's empty.
Of those, sellingHow many of those products actually sell.
SoldUnits sold of the products with a blank.
ReturnedUnits returned of those products.

Click Fill it to open the attribute in Enrichment and get proposals.

Check the values returns argue with

Values the returns argue with isn't about what's missing, but about what's there and possibly wrong. Products with a value are compared with the other products of their own family, and what's left is what the value fails to explain. When Shopify's own return reason says an item was too big or too small, the verdict is spelled out: runs large or runs small.

ColumnWhat it shows
DeclaredThe attribute and the value your catalog declares.
Customers sayThe return reason customers gave.
ShareHow often that reason comes up on these items, compared with their family.
ItemsHow many products carry the value.
Returns the gap is worthHow many returns the difference accounts for.

Click See the items to open the product list filtered on that value, and correct the ones that are wrong.

Read the other panels

PanelWhat it tells you
Products bought in two sizes to choose oneProducts people buy in two sizes in the same order, sorted by how many of those pieces come back, with the return rate of these doubles next to that of single-size buyers. A sign the size information on the page isn't trusted.
Words that come back emptySearches in your Shopify store that found nothing, and whether Nucleo finds them. See below.
Items that come back more than their categoryProducts returned more than others in their category, among those with at least 20 sold, sorted by how many returns the gap is worth. Why, in their words shows the return reasons next to the catalog's own.
Products people come back forProducts the same person bought again a month or more later: your basics, named by your customers.
Sizes that ran out — this one is buying, not dataSizes out of stock on products that sell, weighted by how many of your customers wear that size.

Work on words that come back empty

For each word, Words that come back empty shows how many times it was Typed, whether Nucleo finds it, and What it takes to answer it:

What it takesWhat to do
Nothing to do — the gap was in the old search.Nucleo already answers the word.
A value on some items that search doesn't readThe value exists in an attribute. Check that the attribute is searchable and filterable.
An attribute is missingThe word only lives inside product titles, and no attribute carries it. Consider an attribute for it, then fill it in with Enrichment.
Goods, not dataA product code your catalog doesn't have: pass it on to whoever buys.
A word we do not knowAnother language, a license, a product line. Click Teach it to open a new synonym with the word filled in, or decide it isn't yours.

Considerations for orders and returns

  • Return reasons are the ones customers chose when opening the return in Shopify, with the labels your store configured. Nucleo reads them; it doesn't infer them.
  • These panels use your real orders, so they stay empty until orders have been read.
  • For the same data organized by customer, see Shopper profiles.

Related articles