Your products aren't rejected because of your listings. They're rejected because of your data.
Marketplaces validate every submission against a category schema before a product can go live. A missing dimension, an unmatched GTIN or a wrong category node blocks the SKU — silently, and by the thousand. Synaps finds what each marketplace requires, fills what's missing, and resubmits.
The problem
The rejection message rarely names the real cause
Marketplace error codes point at a field, not at why the value is wrong. Teams fix the symptom on one SKU and hit the same wall on the next thousand.
Requirements differ per marketplace and per category
The same product needs different required attributes on Amazon, a Mirakl-based marketplace and Cdiscount — and those requirement sets change several times a year.
Rejections are invisible in your revenue reporting
A blocked SKU generates no error in your ERP and no line in your P&L. It simply never sells, which is why rejection rates often go unmeasured for months.
Fixing them one by one never finishes
Manual resubmission scales linearly with catalog size. A team clearing 200 rejections a week cannot keep up with a catalog adding 2,000 SKUs a month.
Everything you need
Pre-submission validation
Every product is checked against the destination marketplace's current requirements before it is sent, so rejections are caught in your system rather than theirs.
Root-cause diagnosis
Rejections are grouped by underlying cause rather than by error code, so one fix clears a whole class of blocked products.
Identifier resolution
GTIN, EAN and UPC values are sourced and validated, which addresses the identifier mismatches behind a large share of reseller rejections.
Category node mapping
Products are classified into the marketplace's own taxonomy, so category-level required attributes are known before submission rather than discovered after.
Automatic resubmission
Once a blocked product is enriched and revalidated, it goes back into the queue without anyone reopening a spreadsheet.
Human review on what matters
Low-confidence values are flagged for review instead of being published blind, so a small team supervises a large catalog.
How it works
- 01
Audit the catalog against live requirements
Synaps compares every product to what the destination marketplace requires for its category today, and reports how many SKUs would fail and why.
- 02
Group rejections by cause
Blocked products are clustered by root cause — missing dimension, unresolved identifier, invalid category — so the work is done once per cause, not once per SKU.
- 03
Source the missing values
Attributes are extracted from supplier documents, product pages and trusted sources, with the source recorded rather than invented.
- 04
Revalidate and resubmit
Each corrected product is checked again against the schema before resubmission, so it clears validation on the retry.
Why marketplaces reject products, and how to fix it across a whole catalog
Products get rejected by marketplaces when a submission fails validation against the category schema: a required attribute is empty, an identifier does not resolve, a value falls outside an allowed list, or the category node is wrong or deprecated. The listing itself is rarely the problem. The data behind it is. Synaps audits a catalog against each marketplace's current requirements, sources the missing values, validates them before submission and resubmits what was blocked.
The distinction matters because it changes what fixes the problem. A feed manager transforms values you already have: it can rename a field, reformat a unit or apply a rule. It cannot create a dimension that was never captured, and no transformation rule resolves a GTIN that does not exist in your data. When a rejection is caused by an absent value, only sourcing that value clears it.
Rejection rates also compound quietly. Every blocked SKU is inventory that carries cost and generates nothing, and because a rejection produces no signal downstream, catalogs commonly run at rejection rates nobody has measured. The first useful step is almost always to quantify it: how many products in your catalog would fail validation today, and how many distinct causes account for them. In most catalogs, a small number of causes explains the majority of rejections.
Frequently asked questions
Find out how many of your products would fail validation today
Send a sample of your catalog and get a rejection breakdown by cause, per marketplace.
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