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Case StudyIndustrial Fittings & Stainless Steel Supplies
6 min read

Industrial eCommerce SEO: 22 keywords in top 3

How an Australian industrial stainless steel fittings supplier transformed empty Shopify collection pages into ranking powerhouses, achieving 22 top 3 keyword rankings and 42 page 1 positions across high-intent product categories.

7 to 22
Keywords in top 3
17 to 42
Page 1 keywords
60 to 2
Top camlock keyword
Ecommerce SeoOn Page SeoTechnical SeoContent Strategy
Keyword.com ranking tracking dashboard showing 214% top 3 growth across 63 keywords for industrial fittings eCommerce SEO campaign managed by Kaan TURK
At a glance
Client
Australian stainless steel fittings supplier on Shopify (B2B eCommerce)
Goal
Rank empty collection pages for high-intent industrial fittings keywords and drive organic product sales
Challenge
A full Shopify catalogue of collection pages were image-only grids with no text, giving Google no reason to rank them above identical competitors.
Timeframe
Ongoing
What I did
  • Turned empty collection grids into content-rich, technically accurate landing pages
  • Added product, offer, ItemList, and breadcrumb schema to unlock rich results
  • Expanded a flat catalogue into a parent-child subcategory architecture
  • Rewrote meta titles, descriptions, and image alt text store-wide for buyer search patterns

The Outcome

Rewriting empty collection pages into content-rich landing pages took the store from 7 to 22 keywords in the top 3 (+214.3%) and from 17 to 42 keywords on page 1 (+147.1%), with 45 of 63 tracked terms (71.4%) moving up. The pattern is the real story: every product category improved, from flanges and tri clamps to compression fittings, camlocks, and buttweld products. The products didn't change and the design didn't change. The content did, and the rankings followed.

Keyword ranking tracking dashboard
Keyword.com position tracking across 63 monitored keywords showing dominant ranking improvements since campaign start.

Key performance metrics

Metric Before After Change
Keywords in Top 3 7 22 +214.3%
Keywords on Page 1 (Top 10) 17 42 +147.1%
Keywords in Top 20 26 49 +88.5%
Keywords in Top 30 29 52 +79.3%
Keywords in Top 40 30 52 +73.3%
Keywords Moving Up - 45/63 71.4% of tracked terms

Ranking highlights

Keyword detail view
Keyword detail view showing dominant position 1 rankings across multiple industrial fittings categories, with several high-volume keywords jumping from beyond position 100.

The keyword detail traces directly back to the collection page content work, spanning every product category the store sells:

  • A 1,300 monthly search volume camlock keyword jumped from position 60 to position 2, a 58-position improvement for one of the highest-volume terms in the space.
  • Multiple stainless steel fitting keywords moved from positions 87-100+ to position 1.
  • Tri clamp keywords with 260 search volume climbed from position 7 to position 1.
  • Compression fitting keywords moved from beyond position 100 to position 1, opening up a new product category.
  • Flange keywords with 210 monthly searches improved from positions 9-10 to position 1.

The Challenge

An Australian stainless steel fittings supplier on Shopify had a catalogue that should have been generating significant organic traffic. The business stocked a comprehensive range of industrial fittings (tri clamps, flanges, compression fittings, camlocks, buttweld fittings, and ASME-standard components) serving food and beverage processing, pharmaceutical manufacturing, brewing, and industrial fluid handling. The products were there and the demand was there. The search visibility was not.

The audit confirmed the pattern across the site:

  • Collection pages had been created for every category (the right structure) but each was an image-only grid with minimal or no text, so Google had no signals to understand or rank them.
  • Product pages lacked structured data: no product schema, no offer markup, no availability signals, so the store was absent from product rich results.
  • The architecture was flat, with everything under broad top-level categories and no subcategory structure to capture the specific, high-intent queries industrial buyers use ("tri clamp fittings", "ASME B16.5 flanges", "camlock couplings").

The Approach

The core insight was that industrial buyers (engineers, procurement managers, facility operators) search with precise terminology and standards in mind, so content that speaks their language accurately doesn't just rank better, it converts better by demonstrating technical credibility. The whole campaign was built around one high-impact principle: turn every collection page from an empty grid into a content-rich landing page that competes for specific product category keywords.

Transformed collection pages into technical content. This was the centrepiece. Every target collection page got substantial, technically accurate, category-specific content. The tri clamp collection covered clamp specs, gasket compatibility, surface finish grades, pressure ratings, and food-grade and pharmaceutical applications. Flanges addressed ASME and AS standards, pressure classes, material grades, and flange face types. Compression fittings covered tube OD compatibility, ferrule types, and installation. The content sat alongside the product grid rather than disrupting it, serving the buyer and the search engine at once. This dual purpose is what separates effective eCommerce SEO content from filler nobody reads.

Implemented product and category schema. Each product page received comprehensive markup: product name, description, SKU, price, currency, availability, brand, material, and condition, plus offer schema for real-time pricing and stock. At the collection level, ItemList schema established the relationship between category pages and their products, and breadcrumb schema reinforced the navigational hierarchy in search results. This unlocked product rich results, an increasingly prominent and high-conversion format the store had been invisible in.

Expanded a flat catalogue into a subcategory architecture. Rather than a single broad "stainless steel fittings" collection trying to rank for everything, the structure expanded into dedicated subcategory collections for specific fitting types, sizes, standards, and applications. Each new page was built to the same content standard as its parent, with unique meta tags and proper internal linking to the parent and related subcategories. Every new page became a focused entry point for queries the broad category couldn't target, and the parent-child linking built a topical authority structure across the catalogue.

Optimised on-page elements store-wide. Every collection and product page received a unique, keyword-targeted meta title on a consistent formula ([Product Type] + [Key Specification] + [Brand/Standard]) to match how industrial buyers search, with differentiated meta descriptions and category-specific calls to action. Image alt text across the product photography was rewritten with descriptive, keyword-relevant text, turning an SEO dead zone into an active asset.

Why it worked

  • Empty collection pages are the biggest missed opportunity in eCommerce SEO. Adding substantial, technically accurate content was the single highest-impact change, and every page that received it improved, often dramatically.
  • Technical accuracy matters for industrial eCommerce. Using buyers' exact terminology (ASME standards, fitting types, material grades) builds the credibility that drives B2B purchase decisions, and generic descriptions can't compete with it.
  • Product schema is non-negotiable. Without it the store was invisible in product rich results; implementing it unlocked a layer of visibility on-page work alone couldn't deliver.
  • Niche B2B eCommerce rewards thoroughness over volume. Competition in industrial categories is thinner, so comprehensive on-page optimisation alone can deliver dominant rankings with an exceptional return ratio.
Ecommerce SeoOn Page SeoTechnical SeoContent Strategy
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Kaan TURKAbout
Senior SEO Specialist

15 years of SEO expertise. Former SEO Lead for Louis Vuitton, LC Waikiki, Vakko, Enterprise Rent a Car, and Monster Notebook. Mathematics graduate bringing data-driven precision to search engine optimisation.

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