Amazon publishes two different kinds of value list for its attributes, and Zentail treats them differently. On a suggested list, Amazon accepts whatever you send. Your own wording will never break a listing or raise an error.
Matching Amazon's wording is still worth doing, because Amazon builds its shopper-facing search filters out of its own values. The wording you send decides whether a shopper filtering a results page can find you at all. This article covers both halves: what Zentail sends, and why the match is worth having.
An attribute is a single piece of product data on a SKU, such as Occasion, Color or Unit of Measure.
Why matching Amazon's wording drives sales
Your value is accepted either way. Accepted is not the same as discoverable, and three things run on the exact wording.
The filter sidebar. Shoppers narrow a results page by color, size, material or occasion. Amazon builds those filter options from its own values, so a value Amazon doesn't recognize gives a shopper nothing to click. Filter Occasion to
Wedding & Engagementand a listing that saysWeddingis not in the results. A shopper who has gone to the trouble of filtering already knows what they want to buy, which makes it the worst traffic to be missing from.Amazon's own listing score. Amazon's Listing Quality Dashboard in Seller Central flags the attributes it thinks a listing needs, and its Potential Sales Lift metric puts a number on what filling them is worth, estimated from what happened for sellers like you. Amazon treats attribute data as a sales lever and will tell you so listing by listing.
AI search and Rufus. Amazon's shopping assistant and its relevance models read structured attribute data to work out which products answer a question like "gift for a wedding." They reason in Amazon's own vocabulary, so a value in Amazon's wording is one they can act on.
None of this makes your own wording wrong, and none of it is urgent in the way a listing error is. It is why the match is worth setting up once on the attributes shoppers actually filter by.
Where the match is worth the effort
You don't need to chase every attribute. Two questions tell you whether a mismatch is costing you anything:
Can a shopper filter on it? Color, size, material, occasion and style earn their own filters in most categories. An internal attribute nobody browses by does not.
Does the product sell on that attribute? A gift item lives or dies on Occasion. A replacement part does not.
Where both answers are yes, check your value against Amazon's suggested list and set up a value map if they differ. Everywhere else, your own wording is fine as it is. The Listing Prep screen shows which attributes apply to a product type and what values Amazon accepts.
Closed lists and suggested lists
A closed list is a fixed set of values. Amazon calls these valid values. Amazon only accepts values that are on the list, so sending anything else earns a rejection. Zentail drops a value that isn't on a closed list rather than let the whole listing fail.
A suggested list works differently. Amazon publishes recommended values but accepts other values too. The list is advice, not a rule — but as above, taking the advice is what puts you in the filters.
What Zentail sends on a suggested list
Zentail checks three things, in this order.
The value map. If a value map applies to that attribute, your value is translated through it. A value map is a lookup that says "when the catalog says this, send that to this channel." Zentail ships maps for common cases, and you can add your own.
Capitalization and punctuation. If your value matches one of Amazon's suggested values apart from capitalization or punctuation, Zentail sends Amazon's own spelling.
mothers day,Mothers-DayandMOTHER'S DAYall go out asMother's Day.Your value, exactly as you typed it. If neither of the above applies, Zentail sends what you entered. It is never dropped and it never raises an error.
Steps 1 and 2 are how you land on Amazon's wording, and they are the reason most sellers never have to think about this. Step 3 is the safety net.
Matching is deliberately conservative. Zentail will not guess at a value that merely looks similar to one of Amazon's — it matches on capitalization and punctuation only. A wrong guess is worse than your own word: it would put your product under a filter that misdescribes it, in front of shoppers who then bounce.
If an attribute holds several values and two of yours translate to the same Amazon value, Zentail sends that value once instead of twice.
Why nothing gets thrown away
On a suggested list, a value Amazon doesn't recognize is still a legitimate value, and Amazon will accept it. Dropping it would lose real product information and gain you nothing — it would still appear on your detail page, and it still tells a shopper who reads it something true about the product.
That's the opposite of what happens on a closed list, and the difference is deliberate. On a closed list, an unrecognized value gets the listing rejected, so Zentail removes it. On a suggested list there is no rejection to avoid, so your value goes through.
For example, say you use Casual or All Occasions on the Occasion attribute. Neither is on Amazon's suggested list for Occasion. Both reach your Amazon listing exactly as you typed them, and nothing errors. What you give up is the filter traffic: no shopper narrowing by occasion will surface the product, because All Occasions is not one of the occasions Amazon offers them. If one of Amazon's values genuinely fits the product, mapping to it is worth more than keeping your own word.
Amazon examples
Unit of measure. Zentail has a value map configured here, so a catalog value of
fl ozgoes to Amazon asOunce.The same holiday, a different word on every channel. Target says
July 4th, Walmart saysFourth of July, and Amazon saysIndependence Day. A value map sendsIndependence Dayto Amazon while your catalog keepsJuly 4th. This is the clearest illustration of why value maps exist: one catalog value, and each channel gets the word its own shoppers filter by.Amazon's compound names. Amazon's Occasion list joins two ideas with an ampersand:
Wedding & Engagement,Baby & Expecting,Thank you & Appreciation. YourWedding,Baby ShowerandThank Youlook close, but they differ by more than capitalization and punctuation, so matching alone won't connect them. Zentail ships a value map covering these, so they reach Amazon in Amazon's wording without you doing anything.
What Zentail maps for Occasion
These translations are built in. Your catalog keeps your wording; only what Amazon receives changes. Every row is a filter you pick up without touching your catalog.
Your catalog value | Sent to Amazon |
Wedding | Wedding & Engagement |
Engagement | Wedding & Engagement |
Wedding Shower | Wedding & Engagement, or Bridal Shower |
Baby Shower | Baby & Expecting |
Thank You | Thank you & Appreciation |
July 4th | Independence Day |
Christening | Baptism |
Spring, Summer, Fall, Winter | Seasons |
Holiday | Winter Holidays |
Two notes on reading that table. Amazon has more than one occasion attribute, and its suggested values differ between them and by product type — so a given row applies wherever Amazon actually suggests that value, which is why Wedding Shower has two possible destinations. And the four seasons all land on Amazon's single Seasons value, because that is the only seasonal option Amazon suggests; if you need the specific season on the listing, put it in the title or a product description rather than Occasion.
If you need a translation Zentail doesn't ship
Contact Zentail support with three things: the attribute, the value your catalog holds, and the Amazon value you want sent. Once the map is in place it applies to every SKU using that value, so this is a one-time fix rather than a per-SKU edit.
Occasion values on Target work differently and have their own rules, including a three-value limit. See Target Merch Type Attributes (MTAs).
Note: Amazon is the only channel that publishes suggested values today
