How to Fix Error 99006: Missing Dependent Attribute Fields in Amazon Listings

Error 99006 occurs when a feed includes a dependent attribute (e.g., size map) without its companion field (size type). The processing report pinpoints the missing attribute, and the listing is blocked until the seller adds the value and re‑uploads the feed.

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Overview

Amazon sellers encounter error 99006 when a product feed includes an attribute that depends on another field left blank. The system blocks the listing until all required companion attributes are supplied. Fixing the issue promptly is essential to keep inventory live and avoid sales delays.

Key Points

Dependent attributes must be paired — Filling a field such as “size map” obliges you to also provide the matching “size type,” otherwise the feed is rejected.
Error message pinpoints the gap — The 99006 response lists the exact attribute that is missing, allowing quick identification of the problem column.
Typical culprits are size and material groups — Supplying a “material type” without the accompanying “material composition,” or entering a “size map” without a “size type,” are common triggers.
Resolution requires a fresh feed upload — After inserting the missing values, the corrected file must be resubmitted for the listings to process.
Bulk submissions can generate multiple instances — If dozens of SKUs share the same omission, each will generate its own 99006 entry in the processing report.
Pre‑submission templates reduce risk — Using Amazon‑provided category templates highlights conditionally required fields, helping sellers avoid the error altogether.

How Dependent Attributes Work

Attribute grouping — Amazon organizes related fields into dependency clusters; when one member of a cluster receives a value, the system expects all other members to be populated.
Validation during feed intake — As the feed is parsed, the platform checks each cluster; any empty required member triggers error 99006.
Category‑specific rules — Different product categories define distinct dependency sets; for apparel, size‑related attributes form a cluster, while for home goods, material‑related attributes are linked.