Feed audits
10 common product feed mistakes
Most feed issues are not mysterious. They usually come from missing, inconsistent or poorly mapped product data.
The mistakes that appear most often
Most feed problems are not one-off surprises. They usually come from export templates, missing source data, inconsistent field mappings or shop data that was never written for shopping channels.
When one of these problems exists in the source system, it often affects hundreds or thousands of products at once. That is why it helps to look for patterns instead of only checking the first product in the file.
- Missing product identifiers.
- Weak or generic titles.
- Missing brand values.
- Invalid availability values.
- Poor or blocked image links.
- Duplicate product IDs.
- Incomplete categories.
- Inconsistent prices.
- Generic descriptions.
- Feed structure or parsing problems.
How these mistakes usually show up
Missing identifiers are often caused by product data that was never completed in the shop system. Weak titles usually come from internal catalog names that make sense to the merchant but not to the channel. Price and availability issues often happen when feed exports and product pages are updated at different times.
Image problems can be harder to spot because an image URL may look valid while still pointing to a placeholder, a blocked image or a file that is too small for shopping use. Duplicate IDs are another common issue: they can appear when variants, languages or multiple shops are exported without a stable unique product key.
The practical approach is to review both field presence and examples. Fill rate tells you where data is missing. Product previews tell you whether the values are actually useful.
What to fix first
Fix parsing and required-field problems first. Then check product IDs, prices and availability, because those values affect product identity and whether the offer can be trusted.
After the feed is technically stable, move to commercial quality: titles, identifiers, images, categories and descriptions. These fields help channels understand the product and can improve the quality of diagnostics and matching.
If the same problem appears many times, avoid manual product-by-product edits. Fix the export rule, source field or mapping that creates the bad value.
Why this matters
Small feed problems can affect many products at once, especially when values are generated by templates or exported from a shop system.
Common mistakes
- Only checking one product instead of reviewing patterns.
- Assuming source field names are mapped correctly.
- Ignoring fill rate across the full feed.
- Fixing required fields but leaving weak product data untouched.
Practical recommendations
- Check feed readability first.
- Review required fields and fill rates.
- Look for duplicate IDs and missing identifiers.
- Manually inspect important products before submitting or scaling campaigns.
Related field guides
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