Beijer Ref

Beijer Ref

The case of improved SEO based on structured product data

We've helped this refrigeration products company create a single product data space, making editing and management of product information easier while at the same time improving the SEO of the product pages

The Problem

Beijer Ref had a data management problem. They weren't satisfied with the product catalog's data management, namely they had limited options to categorize products and lacked support for technical product parameters.

Other features on their wish list were: easy batch import of product data from Excel files, and improved SEO based on structured data.

Danfoss MPHE technical data
Refrigeration Stock

Our Approach

To help Beijer Ref better manage and edit product metadata, we tailored LinkedDataHub to become a product information system that allowed the team to categorize products and add any property to their product descriptions in a structured format.

This was the first product information system to natively use and GoodRelations e-commerce vocabularies for product categories. The product classification is managed using an integrated SKOS taxonomy editor.

The system also has an RDF import functionality for Google Sheets which allows the company to manage the product data in a cloud environment and automatically publish it on the Web.

Customer Benefits

Having a single data hub, Beijer Ref team were also able to manage and edit both sales-oriented and technical product information in one place and classify products using a standard e-commerce vocabulary.

Embedded JSON-LD allowed Google search engine to index Beijer Ref's structured data and use it across its search results, ranking it higher among other results.

Let's talk

Interested in managing and publishing product information as structured data?

<script type="application/ld+json">
  "@context": "",
  "@type": "Organization",
  "url": "",
  "name": "Beijer Ref"