Overview

Amazon has announced a renewed focus on product‑listing quality, emphasizing that complete and accurate catalog entries are essential for search visibility, conversion rates, and long‑term account health. To help sellers meet the heightened standards, Amazon will host a live webinar where its catalog specialists will walk participants through best‑practice guidelines and practical steps for fixing suppressed or under‑performing listings.

Key Points

• Algorithm impact — Amazon’s A9 search engine gives higher rank to listings that contain all required attributes and truthful copy, pushing thin listings toward the bottom of results.
• Conversion risk — Missing dimensions, vague bullet points, or low‑resolution images cause shopper hesitation, leading to lower conversion and higher bounce rates.
• Policy enforcement — Recent enforcement cycles have resulted in dozens of thousands of listings being suppressed for incomplete attributes or keyword‑stuffed titles.
• Dashboard utility — The Listing Quality Dashboard now highlights attribute gaps, suppression flags, and recommended edits across the entire catalog in a single view.
• Webinar opportunity — A free, Amazon‑led session scheduled for next month will provide step‑by‑step guidance on meeting the updated quality criteria and avoiding future suppressions.

How the Listing Quality Dashboard Works

1. Data aggregation — The dashboard pulls attribute information from every active SKU, flagging fields that are empty, mismatched, or fall outside category‑specific rules. Example: A kitchen appliance listed without the “Voltage” attribute appears in the “Missing Attributes” section.
2. Suppression detection — Listings that Amazon has already hidden from search because of critical gaps are highlighted with a red icon and a direct link to the edit page. Example: A toy missing the “Age Range” attribute shows a “Suppressed – Missing Required Attribute” alert.
3. Prioritized recommendations — Each flagged item is assigned a severity score; high‑severity items (e.g., missing main image or inaccurate title) appear at the top of the list, while low‑severity suggestions (e.g., optional backend keywords) sit lower.