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Named Framework
A checklist for reviewing feed data, audience inputs, asset-group structure, and conversion measurement in a Shopify Performance Max account.
Quick answer
Use this framework to document the current feed, audience inputs, asset groups, and conversion measurement. Any case observation is account-specific and not a forecast; scope and pricing are confirmed after intake.
Operating thesis
Performance Max uses account, campaign, asset, audience, merchant, and conversion inputs under current Google Ads behavior. Review each area with the account's commercial evidence; no four-layer sequence determines the outcome.
The framework
Validate required and applicable merchant data against current Google documentation and visible product facts. Record disapprovals, warnings, eligibility, and commercial impact instead of assuming silent exclusion.
Use customer data only with authority, consent, policy compliance, and a defined test. Audience signals do not establish a universal cold-start or bidding pattern.
Choose asset-group structure from the catalog, margins, creative, reporting needs, volume, and current Google guidance. Test rather than assuming cross-group learning behavior.
Define primary and secondary conversion actions, value, deduplication, and purchase evidence in writing. Validate the implemented events and reconcile them with orders before changing optimization.
Why discipline here matters
Underperformance can involve demand, economics, account settings, feed data, assets, audiences, measurement, landing pages, or other factors. Diagnose the account before choosing a structural or creative change. The campaign-type decision (PMax versus Standard Shopping by account data maturity) is covered in the Performance Max versus Standard Shopping comparison.
The engagement format
Scoped after intake · Written marketing plan · No retainer structure
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