Meta catalogues
Keep your Meta catalogue clean without rebuilding the feed.
Fix shared product data once, compile a clean Meta CSV beside your Google Shopping feed, and add Meta-only rules where the channels genuinely differ. Preview every change before it goes live.
The short answer
Meta product feed optimisation is getting the catalogue data that powers your catalogue ads right: image, title, price, availability, and identifiers that match your site. Many completeness fixes help both channels, while channel-specific rules handle the differences, with the audit running 24 checks on every item every run.
24
checks on every item, every run, on the shared catalogue both channels compile from.
1
rule stack, one clean catalogue, two outputs: Google XML and Meta CSV that never disagree by accident.
£0
for the Free plan: one feed, 1,000 products, audited, fixed, and served daily, forever.
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One catalogue, two outputs
The shared rule stack fixes identifiers, availability, prices, and images once. Google XML and Meta CSV compile from the same clean catalogue, so the two channels never disagree by accident.
Meta-only where it counts
Channel-scoped rules apply on top, to one output only: reformat titles for feed-driven creative, exclude a category from Meta, set a different link. Deliberate differences, visible in the stack.
Safe like everything else
Previews before every change, full history, and one-click rollback to any version that ran cleanly. Your AI assistant can run the loop with scoped, revocable access.
Meta feed questions
What does SKULayer output for Meta?
A clean Meta catalogue CSV, compiled from the same audited catalogue as your Google feed and served at a stable delivery URL you point Meta's data feed scheduler at. What Meta reads there only changes when a new version passes every check.
Can Google and Meta get different data?
Only where you choose to. One shared rule stack shapes the catalogue both outputs compile from, so titles, prices, and availability never disagree by accident. Channel-scoped rules then apply to one output only: a Meta-specific title format, or excluding a line from Meta while Google keeps it.
Why does feed quality matter for Meta catalogue ads?
Meta's catalogue-driven formats sell with the data you send: image, title, price, availability, and identifiers. Missing fields and stale prices surface directly in ads, and mismatches against your site erode both delivery and trust. Many completeness fixes help both channels, while channel-specific rules handle the differences, which is the point of one layer.
Do I need separate audits for Google and Meta?
No. The audit runs on the shared catalogue every run, with a source-vs-delivered comparison so you can see what your rules fixed. Findings that matter to both channels (identifiers, availability wording, broken sale windows, missing images) get fixed once.
Can I migrate without risking my live Meta catalogue?
Yes. SKULayer reads the same source feed and serves in parallel on its own URL; nothing changes for Meta until you switch the feed URL in Commerce Manager yourself. Keep both running while you compare.
Comparing feed tools for Meta
Choosing between tools? The direct comparisons are sourced and date-stamped, and each one is honest about when the other product is the better buy.
vs DataFeedWatch
Rule stack vs per-field mappings
vs Channable
Focused feed layer vs platform
vs Shoptimised
Self-serve vs managed service
vs Feedonomics
Software vs full-service team
vs GoDataFeed
Multi-channel plan builder
vs Productsup
Enterprise syndication
vs AdNabu
Shopify app, AI-generated copy
vs FeedOn
AI-first, credit-metered
Fix it once, serve it twice
Connect the feed you already have, run the audit, and serve cleaner data to Google Shopping and Meta from one layer.
Start free