Out of the box, Shopify ships fixed product fields: title, description, price, variants. Everything beyond that, such as material, care instructions, nutrition facts, dimensions, certificates or technical specs, belongs in metafields. Each metafield has a defined type (text, number, file, reference to other products and so on) and can be output precisely in the theme.
The difference from free text in the product description is strategic: metafields are structured data. They power filters, comparison tables, product feeds and structured data for Google, and they map cleanly in ERP or PIM integrations. A store that consistently maintains attributes in metafields stays maintainable through growth and system changes.
In projects, defining a metafield concept early has proven its worth: which attributes exist per product type, which namespaces and types are used, and which system (ERP, PIM or Shopify) owns the values? Cleaning up unstructured free text later is far more expensive than a clean structure from the start.
Shopify developmentFrequently asked questions about Metafields
When does information belong in metafields instead of the description?
Can I use metafields without a developer?
Related terms
PIM (Product Information Management)
A PIM system manages product information centrally in one place and distributes it to all channels: store, marketplaces, catalogs and feeds.
View termStructured Data
Structured data is machine-readable markup in your source code (Schema.org/JSON-LD) that lets search engines unambiguously understand content such as products, prices and reviews.
View termERP Integration
An ERP integration connects the store to the enterprise resource planning system so that products, inventory, prices and orders sync automatically between the two.
View termVariants
Variants are the concrete versions of a product, such as size and color. In Shopify, each variant has its own SKU, price and inventory.
View term
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