Amazon Ops Realsy

IDQ Below 90%: What It Means and How to Fix It Fast

IDQ · Discoverability · SIPP 5 min read

Most Amazon sellers have never heard of IDQ until organic traffic drops for no visible reason. No listing suppression notice, no policy violation, no obvious content change. Sessions just start declining week over week and nothing in the standard diagnostic view explains why.

IDQ is Inventory Data Quality. It is Amazon's internal score for how well your product listings and fulfillment records conform to their data standards. Below 90%, certain traffic channels stop surfacing your listings. You do not get notified when it crosses that threshold. You find out by noticing traffic decline and then specifically looking for it.

What makes IDQ drop

There are three main causes in practice.

The first and most common is SIPP enrollment causing packaging damage and returns. When Amazon ships your product in its own retail packaging without protective outer materials, and that packaging is not designed for direct-to-consumer shipping stress, damage rates go up. Returns go up. Amazon's quality metrics register the damage and return activity at the ASIN level, which factors into IDQ. The brand almost never traces the traffic decline back to the fulfillment setting — it looks like a conversion problem or a competitive ranking issue.

The second cause is listing content gaps. Amazon's data standards require specific information to be present and accurate across product detail pages: main image quality, bullet point completeness, accurate category browse node assignment, correct product dimensions and weight (which affect shipping fee calculations), and consistent ASIN variations for multi-pack or bundle products. If any required field is missing or mismatched against Amazon's catalog data for that category, the IDQ score takes a hit. The gap might be something as minor as product weight entered in pounds when the category standard is kilograms, or dimensions that are inconsistent with the product's actual size.

The third cause is receiving discrepancies. When units arrive at FBA in quantities that do not match the shipping plan, or with packaging that does not match the catalog record, Amazon's system flags the ASIN. Repeated discrepancies over time pull down IDQ even if each individual incident is small.

How to read your IDQ report

In Seller Central, go to Inventory, then FBA Inventory, and look for the Inventory Data Quality section. The report shows your IDQ score at the ASIN level and — more importantly — flags the specific dimensions where you are below the threshold.

The report categorizes issues by type: image quality issues, content completeness issues, compliance issues, and fulfillment issues. Each category links to the specific ASINs affected. This is the starting point for triage — you want to know which cause category is driving the most impact before you start making changes, because the fix for an image issue is completely different from the fix for a receiving discrepancy.

For Realsy, the IDQ drop came primarily from two sources: SIPP enrollment causing packaging damage events that Amazon was logging against the product, and listing dimension data that did not match the actual product specifications in Amazon's database for the food and beverage category.

What Realsy did to recover

Step one was the SIPP disenrollment. The team reviewed all enrolled ASINs for SIPP status in Seller Central's FBA program settings and submitted disenrollment requests for every ASIN where the retail packaging was not designed for direct shipping. This stopped the ongoing damage events from adding to the IDQ deficit.

Step two was the listing content audit. Each flagged ASIN's product detail page was reviewed against the IDQ report's content gap list. The fixes were not dramatic — they were the kind of small data mismatches that accumulate over time: product weight updated to match the verified shipping weight, browse node corrected to the most specific relevant category, main image swapped to one that met Amazon's minimum resolution and background standards.

Step three was the dimension verification. For several SKUs, the dimensions entered at listing time had been estimated rather than physically measured. Amazon's system had a different dimension record from warehouse scans when the product first entered FBA. The team measured the actual products, updated the listings, and filed cases to reconcile the dimension records in Amazon's catalog.

IDQ scores do not recover immediately. The score reflects a trailing window of product performance data, not just current listing state. After the SIPP disenrollment and listing corrections, Realsy's IDQ scores began improving within two to three weeks as the damage-related events aged out of the calculation window and new receives processed cleanly.

The traffic recovery timeline

Organic traffic started recovering approximately three weeks after IDQ scores crossed back above 90%. The lag is expected — Amazon does not instantly restore search placement the moment the score improves. The algorithm reintroduces the listing to suppressed traffic channels gradually as the improved score is sustained.

The practical implication is that IDQ remediation is not an emergency fix with immediate results. It is a process with a three to six week timeline from correction to visible traffic improvement. If you are diagnosing a current organic traffic drop, IDQ is one of the first things to check, but do not expect the sessions graph to reverse the week after you fix it.

Check your IDQ report today if you have not looked at it. The score is there, the per-ASIN breakdown is there, and the fix list is in the report. The only reason most brands do not address it is that they do not know the metric exists.

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