Amazon Listing Audit

Amazon Catalog Cleanup Workflow - Poodle Scanner

Use this page when the team knows the catalog has drifted and needs a repeatable cleanup process instead of another manual review sprint.

Cleanup
Prioritization
Operations

User intent

Plan a catalog cleanup workflow that ranks Amazon listing fixes by measured quality gaps.

Rank the long tail

Find low-scoring listings that quietly drag down overall catalog quality.

Batch similar fixes

Group failed titles, bullets, media gaps, and page element issues into work batches.

Track improvement

Use follow-up scans to prove which listings moved from weak to acceptable.

Workflow

How Poodle Scanner fits the job

Baseline the catalog

Scan the current state before any cleanup starts.

Assign fix groups

Use failed check categories to route work to copy, creative, or marketplace operations.

Rescan after changes

Confirm that updated listings now pass the target standard.

Signals

What the scan helps surface

Check

Lowest-score product list

Reported as an observable result your team can review, export, or use as a cleanup cue.

Check

Top failed verifier groups

Reported as an observable result your team can review, export, or use as a cleanup cue.

Check

Per-ASIN fix details

Reported as an observable result your team can review, export, or use as a cleanup cue.

Check

Before and after run comparison

Reported as an observable result your team can review, export, or use as a cleanup cue.

More resource pages

Related Poodle Scanner guides

Run the workflow

Turn the guide into a scan

Start with a product list or storefront URL, apply the right rule profile, and export the findings your team can act on.