Product data determines eligibility and relevance
Google uses Merchant Center product data to create and match Shopping ads. Missing, inaccurate or inconsistent attributes can limit or prevent visibility before bidding strategy becomes the problem.
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30 checks · six categories
This is a self-audit, not a live connection to Merchant Center. “Checked” means you inspected the current account, feed or storefront and found the statement true.
Why the feed matters
Google uses Merchant Center product data to create and match Shopping ads. Missing, inaccurate or inconsistent attributes can limit or prevent visibility before bidding strategy becomes the problem.
Price, availability, product identity and customer-facing policies must remain accurate across submitted data, landing pages and checkout. Structured data can assist updates but does not replace a current product source.
The number of warnings is not the business impact. Start with account issues, disapproved products, required attributes and high-value catalogue coverage, then improve the quality signals that influence customer decisions.
Product approval establishes eligibility—not unit economics. Conversion value, delivered orders, returns, margins and product-level performance still determine whether paid growth is commercially viable.
First-party references
Questions about the checklist
A Merchant Center feed audit checks account ownership, business information, product attributes, identifiers, price and availability consistency, landing pages, diagnostics, data freshness and the measurement required before Shopping or Performance Max campaigns are trusted.
No. It is an ungated self-assessment and does not request account access or product data. Mark an item only after you have verified the current account, feed or storefront evidence yourself.
No. Google controls approval and applies product, policy, country and destination requirements that can change. The checklist helps organise a review; it does not certify compliance or campaign eligibility.
Prioritise account-level issues, disapprovals, required data, price or availability mismatches and the products with the greatest commercial impact. Some warnings are improvement opportunities rather than universal blockers.