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Product technical specifications: model them without pain

Technical specifications are the most valuable and most neglected part of a product page. Buyers use them to make the final purchase decision. Google uses them for product-type queries. Getting them structured correctly pays off on both fronts.

8 min readApril 17, 2026

Technical specifications — weight, dimensions, materials, certifications, compatibility — are the most-read section of a product page for considered purchases. Buyers who read specs convert at 3x the rate of casual browsers. Yet most catalogs have specs buried in a description paragraph or missing entirely.

The right storage model for specs: Shopify vs PrestaShop

Shopify: metafields

Use the custom or specifications namespace. Define typed metafields (number with unit, text, URL) so specs are structured and exportable. Avoid embedding specs in description HTML — it cannot be queried or exported cleanly.

PrestaShop: features

Features are native structured key-value pairs at product level. They power the layered navigation filter and appear in a dedicated tab on the product page. Use them for any spec that buyers might filter by.

Seegea: unified editing

Seegea surfaces Shopify metafields and PrestaShop features as editable columns in the product grid. Bulk-fill specs across 300 products in one CSV paste or formula-based operation.
Spec typeStorage locationFilterableGoogle Shopping
WeightNative Shopify weight fieldNoYes (shipping)
DimensionsMetafield (number + unit)Via appVia custom label
MaterialMetafield or variant optionVia appVia custom_label_0
CertificationMetafield (text or URL)NoVia custom_label
Color (filterable)Variant option or featureYes (native)Yes (color attribute)
Structure specs that buyers filter by as PrestaShop features or Shopify variant options. Keep specs that are purely informational (datasheets, certification links, compatibility notes) as metafields. This distinction keeps your filter UI clean while the product page stays complete.

Technical specs and SEO: a practical guide

Google reads structured specs via Product schema markup and via on-page content. The most valuable spec-related queries are product-type + attribute queries: "outdoor chair 150kg capacity", "USB-C cable 100W", "paint brush set synthetic fiber". These long-tail queries convert at high rates and have low competition.

To capture them, include key specs in your product title when relevant, and always in the spec table below the fold. Seegea lets you build this discipline systematically across your full catalog. Created in France between Annecy and Chantilly, our team helps set up the right metafield structure for your product category on the first onboarding call.

Structure your catalog specs in Seegea

30 min Google Meet · metafield setup included

Structure your catalog specs in Seegea
Created in France (Annecy – Chantilly) · Email & Google Meet support

FAQ

In Shopify, technical specifications are best stored as metafields on the product. Standard metafield namespaces (custom, specifications) let you organize dimensions, materials, certifications and other tech data without polluting the product description.

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