Product data requirements for Amazon: The complete seller reference 

March 30, 2026

Amazon product data requirements determine whether listings appear or get suppressed. This guide explains required attributes, category rules, and how to maintain compliant, high-performing product listings. Get the PIM Buyer’s Guide to support your marketplace strategy.

A suppressed listing on Amazon removes your product from search results entirely, and with it, every impression, click, and sale that listing would have generated. Getting your product data requirements for Amazon right is the price of entry on a platform ranked as the largest online retailer in the world, with $447.5 billion in web sales in 2024 and a market projected to exceed $1.1 trillion by 2035

Amazon’s listing system is built on product types, required attributes, and compliance rules that are updated regularly. The guide ahead covers every layer, from universal required fields and category-specific attributes to A+ Content and the errors that can pull listings offline.

  1. How do Amazon’s product data requirements work?
  2. Amazon required product attributes: A field-by-field reference
  3. Amazon product data requirements by category: What changes beyond the basics
  4. What A+ content and rich media do for your Amazon listings
  5. What are the most common Amazon listing errors, and how should you fix them?
  6. How a PIM solution keeps your Amazon listings compliant

Keep Amazon listings compliant at scale

See how PIM helps manage required attributes, validation, and product data across Amazon and other channels.

How do Amazon’s product data requirements work?

Amazon’s catalog organizes every product into a specific product type, a classification that determines exactly which attributes your listing must include. A pillow, for example, belongs to a product type that groups it with bed pillows, throw pillows, and furniture pillows. 

Product types like SHIRT or LAPTOP_COMPUTER each carry their own JSON Schema, retrieved through Amazon’s Product Type Definitions API, which defines the precise fields, data formats, and constraints your submission must satisfy before Amazon accepts it into the catalog.

Before you build out any listing, you need to understand how Amazon product data attributes are split between product-level and offer-level data, because they serve different purposes and are owned by different parties.

Product-level dataOffer-level data
What it coversBrand, title, description, images, product identifiersPrice, quantity, condition, fulfillment method
Lives onThe shared ASIN detail pageYour seller account only
Who owns itContributed and shared across all sellers on that ASINYou — no other seller sees or affects it
ExamplesGTIN, bullet points, main imageStock level, shipping template, sale price

Amazon deprecated its legacy XML and flat file listing feeds on July 31, 2025, meaning any application still using those feed types now receives a fatal processing error. 

Sellers and developers using the Listings Items API and JSON-based feeds gain uniform data requirements across product types, clearer validation errors, and the ability to submit pricing, inventory, images, and relationships in a single workflow rather than separate feeds.

Amazon required product attributes: A field-by-field reference

Amazon product listing requirements cover eleven core fields that must be present before any listing goes live. Missing or non-compliant data in any of these fields will either block submission or trigger suppression after publication without warning.

Managing eleven core attributes across a growing catalog is straightforward enough on a single channel. But when your products span multiple marketplaces, each with its own listing rules and update cycles, keeping every attribute accurate and consistent becomes a significant operational challenge that compounds quickly at scale.

warehouse manager using smartphone while looking at laptop

Amazon product data requirements by category: What changes beyond the basics

Universal required attributes get your listing into Amazon’s catalog. Category-specific attributes determine whether it stays there and performs. Starting September 12, 2023, Amazon required 274 attributes across 200 product types for new listings in the US marketplace, with further expansions through 2025. 

The categories below account for the majority of attribute-related listing errors and suppressions sellers encounter.

CategoryRequired attributesCommon pitfall
Apparelcolor_name, size_name, department, material_typecolor_name must use Amazon’s accepted enumeration values. Marketing names like “Midnight” will be rejected where “Navy” is the required value.
ElectronicsWattage, voltage, battery cell composition, battery quantity, connectivity type (Bluetooth, Wi-Fi, USB)Battery requirements vary across electronics product types. Check your specific product type schema rather than assuming a single battery field covers all sub-categories.
Grocery and consumablesIngredients, allergen information, nutrition factsNutrition and allergen fields must match Amazon’s consumables template exactly. Formatting from your product packaging often does not map directly to Amazon’s accepted field values.
Beauty and personal careIngredients, skin type, scent, item form, target audienceIngredient lists must follow Amazon’s format requirements and are subject to additional regulatory scrutiny. Incomplete entries are a leading cause of suppression in this category.
Home and gardenMaterial, item dimensions (length, width, height), included components, item weightDimension fields use specific unit formats in JSON submissions. Submitting “cm” as an abbreviation where “centimeters” is the required value will return a validation error.
AutomotiveCompatible make, model, year, trim, engine typeFit data must be submitted through Amazon’s Parts Compatibility system. Listing automotive products without verified fitment data limits visibility in garage-based search filters.
Toys and gamesAge range, CPSC compliance, safety warning labels, batteries required, batteries includedAge range directly affects where the product appears in browse and search. Incorrectly classified age ranges can also trigger compliance reviews in the children’s product category.

Variations

Products that come in multiple sizes, colors, or styles require two additional attributes to function correctly. item_group_id links all child ASINs to their parent listing, and variation_theme defines what dimension varies across those children. 

One format change catches sellers during feed migration: variation_theme used CamelCase in legacy flat files (SizeName), but JSON submissions require underscore format (Size_Name). 

Never submit variation data for the same parent ASIN through both a legacy flat file and the Listings Items API simultaneously, as duplicate submissions delay processing and destabilize the variation structure.

Amazon’s catalog spans hundreds of product types beyond those listed here, each with its own attribute schema and conditional requirements.

Review the category-specific requirements and product type and attributes pages in Seller Central, and download the relevant inventory file template for your specific product type before building your feed.

woman warehouse worker using laptop warehouse management

What A+ content and rich media do for your Amazon listings

Amazon’s own data shows that Basic A+ Content can increase sales by up to 8%, and well-implemented Premium A+ Content can increase sales by up to 20%, numbers that reflect how directly content quality shapes digital shelf performance. Both are available to sellers enrolled in Amazon Brand Registry with a Professional selling account, and neither requires additional spend beyond the time it takes to build the content correctly.

A+ Content

Basic A+ Content lets you replace the standard product description with a structured content area that supports text, enhanced images, your brand logo, technical specification charts, and shoppable comparison tables across up to five modules per ASIN. 

Premium A+ Content expands that footprint to seven modules and unlocks larger full-width images, integrated 720p video, interactive hotspot overlays, clickable image carousels, and Q&A sections. A Brand Story module sits separately on the detail page under a “From the brand” heading and can link customers to your full Amazon storefront.

A+ Content guidelines prohibit pricing, promotional claims, references to competitors, QR codes, and contact information. Awards or endorsements must be substantiated with the certifying body and year. Content goes live after passing Amazon’s validation review.

Additional images and video

Every product requires at least one compliant main image, but Amazon’s product image guide recommends uploading at least 6 additional images and 1 video per listing. Additional images are not required to have a white background and can include lifestyle photography, infographics, dimension diagrams, and in-use shots.

Backend search terms

Backend search terms are hidden from shoppers but indexed by Amazon’s search algorithm. The field has a strict limit of 250 bytes; exceeding it causes Amazon to ignore the entire field rather than truncating it. 

Use the space for synonyms, common misspellings, and alternative phrases that do not already appear in your title, bullet points, or description to improve discoverability. Repeating visible keywords wastes bytes and provides no additional indexing benefit.

What are the most common Amazon listing errors, and how should you fix them?

Listing suppression happens without a notification. Unlike a failed feed submission that returns an error code, a suppressed listing stops appearing in search results. Identify suppressed listings through Seller Central by going to Inventory, selecting Manage All Inventory, and filtering by Search Suppressed and Inactive Listings.

1. Missing or incomplete attributes

Attributes that were optional when a listing was first published may now be mandatory following Amazon’s attribute expansions. Amazon quietly suppresses ASINs rather than notifying you proactively, making thorough product data enrichment essential before a listing ever goes live.

2. GTIN errors

A GTIN error means the product ID does not match the GS1 database, the GTIN is already associated with a different product, or you are attempting to create a detail page for a product that already exists. Amazon’s product detail page rules require GTINs from GS1 or an authorized source directly.

3. Title policy violations

Amazon listing requirements 2025 introduced a universal 200-character title limit, prohibiting specific special characters unless they are part of a registered brand name, and limiting word repetition to a maximum of twice per title. Amazon may automatically correct non-compliant titles if you do not update them within 14 days of being flagged.

4. Image non-compliance

The most common violations are backgrounds that are not pure white (RGB 255, 255, 255), products that fill less than 85% of the frame, and main images that include text overlays, watermarks, or props not included with the product.

5. Category misclassification

Listing under the wrong product type means Amazon applies the wrong attribute schema, required attributes appear missing, and your product may surface in irrelevant search results or not at all.

6. Flat-file migration issues

Attribute names that use CamelCase in flat files use underscore notation in JSON, unit-of-measure values require full names rather than abbreviations, and enum values for attributes like variation_theme and merchant_shipping_group follow different conventions entirely. Submitting the same listing data through both the old and new workflows simultaneously will also generate processing conflicts.

How a PIM solution keeps your Amazon listings compliant

Catalog management at scale without a PIM for e-commerce means manually tracking attribute changes across dozens of product type schemas, absorbing rejected submissions, and chasing down the source of downrated listings. Inriver gives your team a single place to enrich, validate, and handle product data syndication across every channel you sell on.

Inriver Syndicate Advance checks your data against each endpoint’s requirements before anything is submitted, so you catch missing or misformatted attributes on your side rather than waiting for Amazon to reject the feed. Through the ChannelEngine integration, you can extend that coverage to international marketplaces, keeping product data, stock, and pricing synchronized across Google, Alibaba, Temu, and every other channel from your PIM as the single source.

Schedule a personalized, guided demo to see how Inriver manages Amazon compliance across a live catalog.

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