Catalog attribute coverage: measure useful completeness
Measure attribute coverage by category and applicability, distinguish unknown from not applicable, and prioritize gaps that affect product understanding.
Read the guide ↗FEEDAPTOR FIELD NOTES
Product data quality
Fix identities, variants, titles and missing facts with practical checks and worked examples.
Find the cause behind a failed product row
Product feed optimization starts with identity, accurate commercial facts and usable product attributes. Duplicate IDs need a different fix from missing supplier facts; a wrong variant image needs a different check from a malformed URL. Work from the source row to the purchasable product, then validate the target output against its own requirements.
10 guides
Duplicate SKUs and leading zeros: protect catalog identity
Prevent identifier collisions caused by spreadsheets, reused SKUs, whitespace and unstable row-based keys during feed imports.
Read the guide ↗A product title formula that keeps useful facts first
Build clear ecommerce product titles from known brand, product, variant and model facts without keyword stuffing or invented claims.
Read the guide ↗How to validate GTINs without losing leading zeros
Check GTIN length, numeric characters and check digits, preserve leading zeros, and distinguish a valid checksum from a verified GS1 assignment.
Read the guide ↗Missing GTINs in a product feed: investigate before filling the gap
Resolve missing product identifiers with supplier evidence, product classification and destination rules instead of inventing GTIN values.
Read the guide ↗Price and availability mismatches: trace the timing problem
Diagnose product-page and feed disagreements using source timestamps, market context, sale rules and release evidence.
Read the guide ↗Write product descriptions from evidence, not generic AI copy
Improve product descriptions with verified specifications, useful context and reviewable claims while avoiding unsupported AI-generated details.
Read the guide ↗Product image and variant matching: a practical audit
Audit product image URLs, selected variants and visible product details so catalog images represent the actual sellable item.
Read the guide ↗Product variant grouping: five errors to catch before export
Find parent-child ID collisions, repeated option combinations, inconsistent attributes and unstable grouping before releasing a product feed.
Read the guide ↗Sale prices, dates and currencies: avoid ambiguous offers
Review promotional prices with explicit currency, time boundaries and source rules so feed offers match the storefront.
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