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How to Optimise a Product Data Feed for Google Merchant Center

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Product Data Feed Image

Google Merchant Center is a tool for eCommerce websites and it can help you increase their visibility on Google Shopping, Search, and Ads. Your product data feed must be correctly formatted and optimised according to Google’s requirements. This article outlines the essential fields, common mistakes, and key enhancements needed to ensure a product feed meets Google’s standards.

Why it Matters

A well-structured product feed can help improve:

  • Better visibility in Google Shopping and Search results.
  • Potential conversion through accurate product listings.
  • Compliance with Google’s policies, avoiding feed disapprovals.
  • Improved ad performance by providing structured data for campaign optimisation.

Product Feed Fields Required by Google

Google Merchant Center mandates the inclusion of several key fields to ensure product eligibility.

Field NameRequirementPurpose
idRequiredUnique identifier for each product.
titleRequiredConcise yet descriptive product name with key attributes (brand, color, size).
descriptionRequiredDetailed explanation of the product’s features, specifications, and benefits.
linkRequiredDirect URL to the product page on your website.
image_linkRequiredURL of the main product image.
availabilityRequiredIndicates stock status (in stock, out of stock, preorder).
priceRequiredProduct price with currency (e.g., GBP, USD, EUR).
brandRequiredManufacturer or brand name.
gtinRequired if availableGlobal Trade Item Number (UPC, EAN, ISBN).
mpnRequired if no GTINManufacturer Part Number.
conditionRequiredSpecifies whether the product is new, refurbished, or used.

Recommended & Optional Fields

To enhance product visibility and improve targeting, consider including the following additional fields:

Field NameRecommendationPurpose
sale_priceHighly RecommendedSpecifies a discounted price when applicable.
google_product_categoryRecommendedClassifies the product according to Google’s taxonomy.
product_typeRecommendedCustom category based on internal store taxonomy.
additional_image_linkRecommendedAdds extra product images for variations and angles.
sizeRecommended for apparelDefines product dimensions.
colorRecommended for apparelSpecifies the primary product color.
materialRecommendedIndicates the material composition.
patternOptionalDescribes the pattern or texture of the product.
shippingRecommendedDefines shipping costs and delivery estimates.
shipping_weightRecommendedHelps determine shipping rates for bulky items.
product_highlightOptionalBullet points summarizing key features.
product_detailOptionalProvides detailed specifications.

Common Mistakes

1. Using Incorrect URLs

  • Ensure that the link field contains the correct public-facing URL.
  • image_link should be a direct image URL without tracking parameters.

2. Missing GTIN or MPN

  • Google prefers GTINs for accurate product matching. If unavailable, use mpn instead.

3. Inconsistent Pricing Data

  • Ensure that price and sale_price values are correct and match the website. Google performs price checks and may disapprove mismatched listings.

4. Poorly Structured Product Titles

  • Avoid generic titles like “Sofa” or “Table”. Instead, format them as “Brand + Product Type + Key Attribute” (e.g., “Velvet Chesterfield Sofa – Blue – Handmade”).

5. Not Using Google’s Product Categories

  • Assigning the correct google_product_category improves targeting and performance in Shopping Ads.

How to Format a Product Feed

Your product data feed should be structured in either CSV, or XML, format. Below is an example CSV template:

title,brand,price,sale_price,availability,google_product_category,link,image_link
"Velvet Chesterfield Sofa - Blue","Luxury Sofas Ltd",1499.99,1299.99,"in stock","Furniture > Living Room > Sofas","https://www.example.com/sofa","https://www.example.com/images/sofa.jpg"

Final Optimisation Tips

  • Regularly update your feed to reflect stock and price changes.
  • Use structured data markup (Schema.org).
  • Ensure high-quality images with a clean, white background.
  • Enable Google Shopping promotions to attract more clicks.

Optimising your product data feed can help maximise visibility, improving ad performance, and driving potential sales. This is done by making sure that your product feed complise with Google’s requirements and implementing best practices.

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