AI summary

Product feed quality is a critical performance lever for e-commerce brands using Google Merchant Center and Facebook Commerce Manager, with every attribute impacting ad delivery and algorithmic efficiency. Both platforms require nine mandatory attributes (id, title, description, link, image_link, price, availability, condition, brand/GTIN), while high-value attributes like GTIN, item_group_id, and custom_labels significantly influence indexing and campaign segmentation. Each platform has exclusive features—Google offers advanced pricing options and structured data attributes, while Facebook supports video URLs and HTML-rich descriptions—requiring platform-specific optimization strategies. Leading brands implement a master feed architecture with dynamic transformation rules powered by AI to efficiently adapt content across channels rather than manually duplicating feeds.

Product feeds as a performance media performance driver

For e-commerce brands and multichannel advertisers, product feed quality is a strategic performance lever on both Google Merchant Center and Facebook Commerce Manager.

As automation grows (PMax, Advantage+, etc.), feed optimization is no longer just a technical task — it’s a business lever. Title, description, image, categorization, labels… every attribute affects your ad delivery, algorithmic efficiency, and contextual relevance.

The key? Tailoring your feed precisely to each platform’s specific requirements.

1. Mandatory attributes: The 9 essentials to align

Field

Required on Google

Required on Facebook

Notes or Limitations

id

Yes

Yes

Unique, case-sensitive. Max 50 (Google) / 100 (Facebook). Use a stable SKU.

title

Yes

Yes

150-character max on Google, 200 on Facebook. Google truncates after 70.

description

Yes

Yes

Max 5,000 (Google) / 9,999 (Facebook). No promo or HTML (Google).

link

Yes

Yes

Direct https URL, unique per variant.

image_link

Yes

Yes

JPG/PNG. Min 100x100px (Google) / 500x500px (Facebook).

price

Yes

Yes

Format: “49.99 EUR”. Only one currency per feed.

availability

Yes

Yes

Values: in_stock, out_of_stock, preorder.

condition

Yes

Yes

Values: new, refurbished, used.

brand

Recommended / Required if GTIN

Yes

GTIN required if brand is present.

2. High-value attibutes that drive results

🧠 The more enriched your feed, the better your products perform—through better exposure, indexing, and relevance.

3. Platform-specific attibutes: What’s unique to each

A/Google Merchant Center Exclusives

B/Facebook Commerce Manager Exclusivities

4. Technical constraints and formats to anticipate

Element

Google Merchant Center

Facebook Commerce Manager

Formats

.csv, .tsv, .xml, .txt, Google Sheets

.csv, .tsv, RSS/ATOM XML, Google Sheets

Max file size

Up to 4GB

100MB manual / 4GB scheduled

Volume

No official limit

Max 1 million products

Update frequency

Daily / real-time via API

Recommended hourly (for checkout)

Promo content

Not allowed in titles/descriptions

Allowed but discouraged

5. Ideal architecture: master feed + adaptation engine

❌ Manually duplicating feeds per platform is inefficient and error-prone.

✅ Leading feed management platforms like Channable, Feedonomics, and Lengow use a master feed and apply transformation rules per channel.

But when it comes to performance media on Google, Meta, TikTok or Pinterest, you need a specialized solution like Feed Enrich by Dataïads.

Feed Enrich dynamically applies:

All powered by multimodal AI that leverages product data + ad signals.

6. SEO & visual best practices to boost discoverability

Headlines

Descriptions

Categories

Images

🛠️ The platform Dataïads makes it possible to generate en masse enriched product visuals from the master feed (different angles, virtual test, on model photos or “lifestyle”, etc.), by combining the best multimodal AI models. Ideal for scaling your product visuals in order to optimize the multimodal flow of advertising products. Discover Dataïads’ generative AI functionalities in a demo today.

7. Summary: comparative table of the main attributes

Field

Google Required

Facebook Required

Notes

id

✅

✅

Case-sensitive, stable

title

✅

✅

Different truncation limits

description

✅

✅

HTML banned on Google

link

✅

✅

Unique per variant

image_link

✅

✅

100px (Google), 500px (Facebook)

availability

✅

✅

Same value set

price

✅

✅

Format: “49.99 EUR”

condition

✅

✅

“new”, “used”, “refurbished”

brand

⚠️

✅

Mandatory if known brand

gtin

✅ (recommended)

⚠️

Trust signal for Google

item_group_id

✅

⚠️

Variant grouping

Conclusion: automate to scale product optimization

When you manage a substantial, fast-paced, multi-channel e-commerce catalog, manual optimization quickly becomes a bottleneck for the marketing team.

🎯 To scale media performance, the future requires platforms ofproduct optimization driven by specialized e-commerce AI, like Feed Enrich by Dataïads.

They allow:

✅ It is the ideal way to transform your catalog into an advertising profitability engine.

FAQ – For Marketing & Acquisition Leaders

→ Why structure a single master feed?
For consistency, governance, and scalability. It becomes the single source for Google, Meta, Pinterest, TikTok—and can be enriched/filtered for ad use cases.

→ Why not reuse the same raw feed everywhere?
Because each ad platform has its own rules, limits, and opportunities. A feed optimized for Google may underperform on Meta—and vice versa.

→ What makes Feed Enrich different?
Unlike traditional feed managers, Feed Enrich:

→ Is it only for large advertisers?
Feed Enrich is ideal for catalogs with 500+ SKUs. That’s where the ROI is highest.

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