Case study

Fieldfolio had 200,000 products. Buyers had only 30 ways in.

Fieldfolio's marketplace had been designed around how people browsed inside its app. Wholesale buyers searched much more specifically. We rebuilt the category architecture around that demand, expanding 30 base categories into more than 1,200 buyer-intent entry points, and designed the technical system needed to support them at scale.

Client
Fieldfolio
Sector
B2B marketplace · Wholesale
Capabilities
Search strategy & intelligence · SEO & search performance · Content & search experience
Live since
September 2022

The challenge

Fieldfolio had around 200,000 products sitting beneath just 30 broad categories. That structure made sense for an app designed around browsing. It made much less sense for somebody arriving from Google with a specific product, category, use case or wholesale need already in mind.

The opportunity was therefore bigger than optimising the existing 30 pages. The architecture itself needed to reflect how wholesale buyers expressed demand.

The marketplace worked once somebody was inside it. Search needed more ways in.

  • 30 base categories trying to cover a 200,000-product catalogue
  • A taxonomy built for browsing in the app, not for how buyers search
  • A custom Ruby CMS with no standard SEO tooling or plugins
  • Page templates that had never been designed with search in mind

The result

More relevant entry points created a much larger organic search footprint.

Ranking figures compare March 2023 to November 2024 against pre-engagement; organic traffic compares the trailing 12 months with the pre-engagement average.

+2,050%
Top-3 ranking keywords Mar 2023 to Nov 2024, vs pre-engagement
+5,628%
Total ranking keywords Mar 2023 to Nov 2024, vs pre-engagement
#1
For "wholesale marketplace" Published case study
+326%
Organic traffic Trailing 12 months vs pre-engagement average · published case study

The insight

Fieldfolio did not need more products. It needed more relevant ways into the marketplace.

The catalogue was already there. What was missing was enough search architecture between broad categories and individual products.

Query behaviour and competitor visibility showed that buyers searched at a much finer level of specificity than the existing taxonomy could support. So rather than optimise the structure Fieldfolio already had, we rebuilt it around those buyer intents.

The strategy

Design the marketplace from the query backwards.

  1. Map demand before creating pages.We decomposed the original categories by sub-type, use case and intent modifier, then used query data and competitor visibility to validate whether each new category deserved to exist. The goal was not to manufacture hundreds of URLs. It was to create useful entry points where the evidence showed buyers were already searching.
  2. Build search into the product experience.A larger taxonomy would only work if the page templates could support it. We worked directly with Fieldfolio's UX designer on the category, brand, product and homepage templates, so hierarchy, internal linking, structured information and content requirements were considered before implementation rather than added afterwards.
  3. Make the architecture implementable at scale.Fieldfolio ran a custom Ruby CMS. Instead of stopping at recommendations, we documented the work as implementation specifications covering URL patterns, internal linking, metadata logic and structured data, so the development team could build the system into the platform.

The architecture

30 broad categories became 1,200+ buyer-intent entry points.

Before

30

Broad app categories

After

1,200+

Buyer-intent entry points

  1. Base category
  2. Sub-category
  3. Specific buyer intent

The partnership

We mapped the search architecture. Fieldfolio's team built it into the product.

Firewire

  • Search demand
  • Category architecture
  • SEO specification
  • Template requirements
  • Internal linking logic
  • Launch validation

Fieldfolio

  • Product knowledge
  • UX design
  • Custom CMS development
  • Implementation

What we did

Category architecture. Expanded the original 30-category taxonomy into 1,200+ validated buyer-intent pages across a three-level hierarchy: base category, sub-category and specific buyer intent.

Page experience. Co-designed the category, brand, product and homepage templates with Fieldfolio's UX team, so the new search architecture also worked as a usable marketplace experience.

Technical specification. Defined URL patterns, programmatic internal linking, metadata logic and structured-data requirements for Fieldfolio's custom Ruby CMS.

Launch and validation. Monitored the new architecture after launch and validated how the expanded footprint performed in organic search.

The takeaway

Fieldfolio became easier to discover because the architecture started reflecting how buyers searched.

The growth did not come from adding keywords to 30 existing category pages. It came from changing the structure of the marketplace itself.

By mapping buyer demand first, then carrying that intelligence through taxonomy, UX and technical implementation, Fieldfolio created far more relevant entry points into an existing catalogue. The products were already there. Search strategy changed how buyers could reach them.

Ready when you are.

Be found first. Be chosen naturally.

Does your website structure reflect your business, or how your customers actually search? Show us the existing architecture and the demand around it, and we will tell you whether the problem is optimisation inside the current structure, or whether the structure itself is limiting what search can do.

See the rest of the work Read the insights