Google Merchant Center feed errors explained: the 12 rejections that block most products and how to fix each in the feed

Google Merchant Center and Meta Commerce Manager operate similarly under the hood. The pla

ed request retrieves your data file (XML, TXT, or CSV) via URL or uploads it, then the parser goes through each attribute element, checking them against requirements. Any elements not meeting the requirements or format receive individual approval instead of blocking the entire upload process. The rest of the package is still published, so error rows may remain unprocessed in the Diagnostics section for weeks without being addressed.

Main Reasons for Errors

In this guide, we will examine the most common errors that can occur when creating the final data file for Google Merchant Center and Meta Commerce Manager. These errors are based on Google's product specifications and Meta's field catalog, in order of their frequent appearance in Shopify or WooCommerce exports.

01. Missing or Incorrect ID (Missing value: id)

Google's Spec: Use a unique value for each product. Where possible, use SKU, limited to 50 characters. Meta's Requirement: Requires a unique identifier, unique within the catalog, up to 100 characters, which differs from any item_group_id.

Example Error:

• Missing value: id

Fix:

• In Shopify, assign id as the variant SKU, not the product ID.
• In WooCommerce, export SKU for each row, not the product ID.

id: SKU-JUMPER-NAVY-M

02. Missing or Incorrect Title (Missing or invalid title)

Google's Spec: The title should be unique and correct. Meta's Requirement: The title should be unique and correct.

Example Error:

• Missing value: title

Fix:

• Ensure the title is unique and contains accurate product information.
• Use an auto-fill function for titles if available.

title: Navy Blue Jumper

03. Missing or Incorrect Description (Missing or invalid description)

Google's Spec: The description should be unique and contain useful information. Meta's Requirement: The description should be unique and contain useful information.

Example Error:

• Missing value: description

Fix:

• Ensure the description is unique and contains necessary product information.
• Use an auto-fill function for descriptions if available.

description: A stylish navy blue jumper made of high-quality cotton. Perfect for any occasion.

04. Missing or Incorrect Price (Missing or invalid price)

Google's Spec: The price should be unique and correct. Meta's Requirement: The price should be unique and correct.

Example Error:

• Missing value: price

Fix:

• Ensure the price is unique and listed in the correct currency.
• Use an auto-fill function for prices if available.

price: 49.99

05. Missing or Incorrect Availability (Missing or invalid availability)

Google's Spec: Availability should be unique and correct. Meta's Requirement: Availability should be unique and correct.

Example Error:

• Missing value: availability

Fix:

• Ensure availability is correctly specified (e.g., In stock, Out of stock).
• Use an auto-update function for availability if available.

availability: In stock

06. Missing or Incorrect Image (Missing or invalid image)

Google's Spec: The image should be unique and a valid URL. Meta's Requirement: The image should be unique and a valid URL.

Example Error:

• Missing value: image

Fix:

• Ensure the image URL is unique and works.
• Use an auto-upload function for images if available.

image: https://example.com/images/jumper-navy.jpg

07. Missing or Incorrect Brand (Missing or invalid brand)

Google's Spec: The brand should be unique and correct. Meta's Requirement: The brand should be unique and correct.

Example Error:

• Missing value: brand

Fix:

• Ensure the brand is correctly specified.
• Use an auto-fill function for brands if available.

brand: Example Brand

08. Missing or Incorrect Category (Missing or invalid category)

Google's Spec: The category should be unique and correct. Meta's Requirement: The category should be unique and correct.

Example Error:

• Missing value: category

Fix:

• Ensure the category is correctly specified.
• Use an auto-fill function for categories if available.

category: Women's Clothing > Tops > Jumpers

09. Missing or Incorrect Condition (Missing or invalid condition)

Google's Spec: The condition should be unique and correct. Meta's Requirement: The condition should be unique and correct.

Example Error:

• Missing value: condition

Fix:

• Ensure the condition is correctly specified (e.g., New, Used).
• Use an auto-update function for condition if available.

condition: New

10. Missing or Incorrect Color (Missing or invalid color)

Google's Spec: The color should be unique and correct. Meta's Requirement: The color should be unique and correct.

Example Error:

• Missing value: color

Fix:

• Ensure the color is correctly specified.
• Use an auto-fill function for colors if available.

color: Navy

11. Missing or Incorrect Size (Missing or invalid size)

Google's Spec: The size should be unique and correct. Meta's Requirement: The size should be unique and correct.

Example Error:

• Missing value: size

Fix:

• Ensure the size is correctly specified.
• Use an auto-fill function for sizes if available.

size: M

12. Missing or Incorrect Shipping (Missing or invalid shipping)

Google's Spec: Shipping should be unique and correct. Meta's Requirement: Shipping should be unique and correct.

Example Error:

• Missing value: shipping

Fix:

• Ensure shipping is correctly specified.
• Use an auto-update function for shipping if available.

shipping: Free Shipping

Practical Tips

1. Check Data: Before sending data, check all fields for errors.
2. Use Tools: Many platforms offer tools for automatic filling and data validation.
3. Seek Help: If you encounter issues, contact platform support or marketing consultants.

Conclusion

Incorrect or missing information in the data file can lead to product rejections and reduced marketing campaign effectiveness. Understanding and fixing these errors will help you optimize products and increase their visibility in search.

---