A practical guide to reviewing product titles, images, identifiers, availability, and data quality issues inside a Google Shopping feed audit.
Start by understanding how much of the catalog is reaching Google Shopping and how many products are already affected by warnings or disapprovals.
Coverage creates context for every quality recommendation that follows.
Titles, descriptions, images, identifiers, price, and availability are the core fields to audit first because they affect matching, trust, and approval.
You do not need a perfect catalog to improve results, but you do need consistency in the fields Google relies on most.
A feed audit should highlight not only bad data, but unstable data. If the same field keeps drifting after updates, fix the pipeline rule creating the mismatch.
That is usually more valuable than correcting one row at a time.
The audit is only useful if it changes the next actions of the team. Tie each issue group to an owner, a priority, and a validation step.
That keeps the work moving after the analysis phase ends.
FeedIQO connects feed audits to approval rate, product issues, and remediation workflows so the audit stays operational.
A plain-English guide to common GTIN problems, when identifiers are required, and how to fix feed submissions without overcorrecting.
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