elinking-111 Ads Feed Shopping
Audit product data quality as a performance lever. Poor feed quality can make bid, creative, and campaign advice misleading.
Workflow
- Identify commerce stack: Shopify/WooCommerce/custom, feed source, Merchant Center/catalog, countries, languages, currency, inventory cadence.
- Collect exports or diagnostics:
- Product id, title, description, brand, GTIN/MPN, category, product type, price, sale price, availability, image link, landing page, shipping, tax, custom labels, performance metrics.
- Check eligibility:
- Disapprovals, limited performance, policy warnings, shipping/tax mismatch, landing page mismatch, unavailable variants.
- Score feed quality:
- Search intent in title, clean attributes, variant grouping, image quality, category depth, custom labels, price competitiveness, review/rating availability.
- Connect feed to campaign structure:
- PMax asset groups/listing groups, Shopping campaigns, product sets, Meta Advantage+ catalog, TikTok Shop/catalog campaigns.
- Recommend feed fixes and campaign segmentation.
Diagnostic Areas
| Area | What to Check |
|---|---|
| Identity | Stable item id, item group id, brand, GTIN/MPN |
| Title | Product type, brand, key attribute, use case, search terms |
| Images | Clean primary image, lifestyle images, no broken URLs |
| Price | Currency, sale price, price mismatch, shipping and tax |
| Availability | Out-of-stock handling, variant landing pages |
| Taxonomy | Google product category, product type hierarchy |
| Labels | Margin, seasonality, bestseller, inventory, price band |
| Policy | Restricted products, claims, landing page consistency |
Output
Return:
- Feed Health: Green / Yellow / Red.
- Top disapproval or limited-delivery risks.
- Feed optimization table.
- Campaign segmentation recommendations.
- 7-day implementation checklist.