Integrity
The feed is publicly reachable, within limits, safely decoded and parseable as XML or CSV.
PRODUCT FEED QUALITY
Product feed quality: what makes a good ecommerce feed?
A good ecommerce feed is readable, complete and consistent across the catalog. This educational framework helps teams locate upstream weaknesses before measuring them with a scan.
- ✓ Free initial scan
- ✓ Up to 100,000 products
- ✓ No store connection
- ✓ No account required
Eight dimensions of product-feed quality
Use these dimensions to organize ownership and investigation. They are not a disclosure of the production scoring weights.
Completeness
Supported fields needed to identify, describe, price and route products are present where applicable.
Consistency
The same representation rules are applied across rows and identifiers remain unique.
Identifiers
Product ID, brand and recognized GTIN or MPN coverage support stable identity.
Content
Titles and descriptions contain enough source information to describe the product.
Assets
A primary image and product destination are present with valid HTTP or HTTPS URL syntax.
Commerce
Prices include a positive amount and currency, while availability uses a supported value.
Taxonomy
A product category or product type is present, while factual correctness remains a catalog-owner decision.
The model explains quality; the ruleset measures supported signals
Eight dimensions
A durable vocabulary for catalog, ecommerce and marketing teams. It includes questions that may still require another tool or human verification.
Versioned deterministic rules
The current score uses actual parser evidence and 13 supported product rules. Findings expose severity, affected counts and recommendations without publishing unnecessary internal weighting detail.
Turn quality into a repeatable catalog process
Measure
Run the same public export through a versioned audit and record the product count and score.
Prioritize
Start with file blockers and critical failures affecting the widest portion of the catalog.
Repair upstream
Correct the catalog field, source mapping or feed generator rather than patching a temporary export.
Regenerate
Create a fresh feed and confirm the expected records and values are present.
Compare
Re-run the audit and investigate unexpected score, count or issue changes.
Verify downstream
Use each channel's own diagnostics for policy, website, processing and account-specific decisions.
A framework that stays honest about its boundary
METHODOLOGY & SOURCES
Deterministic checks, documented limits
Product Feed Scan parses public XML and CSV feeds incrementally, applies versioned rules to supported fields and groups failures by impact. It does not predict platform policy decisions, modify feeds or guarantee channel approval.
Product feed quality questions
VISIBLE FAQ
Questions about this guide
Are these eight dimensions the Product Feed Scan scoring algorithm?+
No. They are an educational framework for discussing feed quality. The production score uses a versioned set of deterministic rules and documented severity deductions.
Can a technically valid feed have low quality?+
Yes. A file may parse successfully while many products lack identifiers, descriptions, images, valid price representation, availability or categories.
Does a high score guarantee channel approval?+
No. Platform approval can also depend on policies, account settings, destinations, the website and facts not visible in the source feed.
How should a team improve feed quality?+
Measure the current export, group failures by root cause, repair upstream data or mappings, regenerate the feed and compare the next result using the same ruleset.
FREE PRODUCT FEED SCAN
Check your feed →Measure the catalog before fixing it.
Scan a public XML or CSV feed, review the free score and unlock the complete private report only if you need every affected product.