Meta Catalog Feed

Facebook & Instagram Shopping Feed Optimisation

Dynamic ads, Advantage+ catalog campaigns and Instagram Shopping all consume the same product data — and inherit the same defects. Meta disapproves or silently under-delivers ads built on bad catalog data. The fix is not in Ads Manager — it is in the feed.

  • Google-approved Comparison Shopping Service
  • Anthropic Claude Partner Network member
  • OpenAI Partner Network — onboarding in progress
One clean source of truth Dynamic Ads · Advantage+ Instagram Shopping

Meta catalogs fail for the same reason Google feeds do

A Meta product catalog is only as good as the feed behind it. Dynamic ads, Advantage+ catalog campaigns and Instagram Shopping all consume the same product data — and inherit the same defects:

Placeholder prices

price: 1 for unavailable items renders as a real price in dynamic ads.

Stale availability

Out-of-stock products shown to retargeting audiences.

Wrong titles and missing attributes

Degrade Meta's matching for catalog ads.

Inconsistent identifiers

Break product matching across placements.

Meta disapproves or silently under-delivers ads built on bad catalog data. The fix is not in Ads Manager — it is in the feed.

The same pipeline, applied to Meta

CatyAI's data-quality pipeline is channel-agnostic. The enrichment and validation layers that produce Google-ready feeds produce Meta-ready catalogs from the same clean source:

01

One clean source of truth

Products are enriched once — titles, descriptions, attributes, categories, normalized brands — and exported per channel. Google and Meta consume the same validated data, formatted to each platform's spec. No divergent copies drifting out of sync.

02

Accurate price and availability

Placeholder prices and unavailable products are filtered at ingest. Dynamic remarketing only works when the products shown are actually purchasable — our availability data is validated against merchant feeds on every sync cycle.

03

Structured attributes for targeting

Gender, age group, size, color, material — the attributes Meta uses for catalog matching and audience relevance are extracted and normalized during enrichment, not left as free text.

04

Measured quality

The same versioned validation rules and sampled-cohort measurement apply. A product that fails validation is excluded from both Google and Meta exports — quality gates are enforced before the data leaves the system, not after the ad runs.

What we do not claim

We do not run your Meta campaigns and we do not label products based on your ad performance. We fix the data. Campaign structure, bidding and creative remain yours — they simply stop being sabotaged by a dirty catalog.

One pipeline, every channel

The enrichment, validation and golden-record layers behind this page are the same ones producing Google-ready feeds — over 3.8 million products processed, measured against versioned validation rules.

Google Shopping Feed Optimisation →

Book a partnership call

Write to us at contact@catyai.io or call +40 756 730 193 — we'll discuss your catalog and the right package.