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1,840 to 2,640 qualified leads a month.The full-stack rebuild behind it.

Northern Hydraulics is an industrial hydraulics distributor — ~8,500 SKUs of JIC/NPT fittings, adapters, and assemblies sold to engineers and MRO buyers. Over a three-year relationship (2022–2025) we ran the whole growth function: brand and design, a Magento 1 to headless replatform, AI-search and technical SEO, an AI-assisted catalog rewrite, pillar content, paid ads, and cold outbound. Qualified leads went from 1,840 to 2,640 a month, up 43.5%.

Client
Northern Hydraulics
Scale
~8,500 SKUs
Engagement
2022 – 2025 · 3-year relationship
  • 1,840 2,640

    Qualified leads a month over the engagement

  • +800

    Additional qualified leads a month

  • 5

    Disciplines run by one team: design, dev, AI search, content, outbound

  • 3 yrs

    One coordinated growth function, 2022–2025

The situation

Where they started.

Northern Hydraulics had a real business and a website that worked against it. They carried ~8,500 SKUs across 150+ categories and sold to people who knew exactly what thread and pressure rating they needed. The site was Magento 1: slow, past end-of-life, and impossible to extend. Category pages took seconds to load. Most product pages had a part number and almost no usable copy.

The buyers were already searching. They just weren’t finding Northern Hydraulics. Manufacturers and a handful of larger distributors owned the category terms, and the answer engines were starting to cite those same names. Inbound sat at 1,840 qualified leads a month and had been flat for a year. They didn’t want five vendors and a project manager to coordinate them. They wanted one team to own the number.

The constraint

What made it hard.

Everything depended on the rebuild, and the rebuild couldn’t break the catalog. 8,500 live SKUs had to come off Magento 1 with URLs, part data, and search intent intact, while the site stayed open for orders. SEO, content, and ads all had to wait on infrastructure that didn’t exist yet, then move fast once it did. And the product copy that AI search and editorial needed at scale didn’t exist. Most pages were a part number and a price.

What we ran

The work, phase by phase. What shipped, and when.

  1. 2022 · ~6-month build

    Brand and replatform

    Rebuilt the brand and design system, then moved all 8,500 SKUs off Magento 1 onto a headless stack, schema-complete from day one. Category-browse and product pages were rebuilt for speed and for machine readability.

  2. 2022 – 2023

    Catalog rewrite at scale

    Ran an AI-assisted rewrite of the product catalog — specs, fitment, and use language on pages that had carried a part number and nothing else — so both buyers and answer engines had something to read.

  3. 2023 – 2024

    AI-search and editorial

    Layered technical and AI-search SEO onto the clean build, then published pillar and category content aimed at the questions buyers actually ask. Targeted the terms manufacturers had owned.

  4. 2024 – 2025

    Paid and outbound

    Added paid ads against high-intent commercial queries and cold outbound to a built distributor and OEM list on engineered sender reputation. Both fed the same qualified-lead pipeline.

This is what a Full Growth Ownership engagement at this scale looks like in practice.

Why it worked

The mechanism. What actually moved the number.

One team owned the whole chain, so each discipline made the next one cheaper. The replatform shipped schema and fast, readable pages. That gave AI-search something clean to cite and gave editorial a structure to plug pillar pages into. The catalog rewrite turned 8,500 thin pages into pages worth ranking and worth quoting. None of those steps works in isolation. Pillar content with no schema doesn’t get cited. A fast site with empty product pages has nothing to say.

Because the same team ran ads and outbound on top of that foundation, demand capture sat on real inventory of indexed, citable pages instead of fighting a broken site. Coordination was the product. No handoffs between agencies, no waiting on a third party to ship a schema change before content could move. The lead number moved because every input pointed at the same pipeline.

What happened

The results. As measured, dips included.

It was slow before it was fast. The first six months were almost entirely the rebuild, and the lead number didn’t move during it. Replatforming 8,500 SKUs without breaking the catalog is not a quarter where inbound jumps. Through 2023 the early lift came from the rebuilt category pages and the catalog rewrite getting indexed, not from any single campaign.

The compounding showed up in 2024. AI-search citations, pillar content, ads, and outbound all started feeding the same pipeline at once, and the curve steepened. By the close of the engagement, qualified leads had grown from 1,840 to 2,640 a month, a 43.5% increase, with no single channel carrying it. Each discipline’s result is written up in its own cut below (the citations, the replatform, the editorial sessions, the outbound reply rate), so no number is counted twice.

The number that mattered

+43.5%

Qualified leads a month, across the full engagement

2022 – 2025 · client CRM

We stopped managing vendors and started looking at one number. When the site, the content, the ads, and the outbound are run by the same people, you can actually tell what’s working.
VP of Sales, Northern HydraulicsIndustrial hydraulics distributor · ~8,500 SKUs

Measurement notes

How these numbers were measured.

A metric without a source is an assertion. Every number on this page is listed below with how it was counted.

Qualified leads 1,840 to 2,640 / month (+43.5%)
Qualified inbounds counted in the client’s CRM, monthly aggregate. Baseline = 2022 monthly average before the rebuild; end = final quarter of 2025. “Qualified” uses the client’s own lead definition, held constant across the window.
Channel attribution
Leads tagged by source in the CRM (organic, AI-referred, paid, outbound reply). No single channel exceeds the growth on its own; the headline is the coordinated total, not a sum of channel claims.

Attribution. Published with the client’s sign-off. Metrics are as measured in the sources listed above.

The engagement, by discipline

Every piece, written up on its own.

  • Industrial hydraulics distributor~8,500 SKUs

    Named · with consent

    8,500

    SKUs replatformed off Magento 1

    6 months · schema-complete from day one

    8,500 SKUs off Magento 1, onto a storefront AI can read.

    Northern Hydraulics ran an 8,500-SKU catalog on Magento 1, which hit end-of-life with no security patches and product markup AI search engines couldn't parse. Over 6 months we replatformed the whole catalog to a headless Next.js storefront on Shopify Hydrogen, schema-complete from day one, and carried the JIC/NPT spec quote flow across intact. Mobile category-browse INP dropped from 600ms+ to under 200ms. This was the web-dev cut of the full engagement; the qualified-lead growth is reported on the anchor study.

    Website DevelopmentAI Search & GEO2022
  • Industrial hydraulics distributor~8,500 SKUs

    Named · with consent

    ×8.5

    AI-Overview citations, top 50 commercial queries

    4 → 34 · 6-month engagement

    4 to 34 AI-Overview citations on the top 50 commercial queries.

    Northern Hydraulics is an industrial hydraulics distributor with ~8,500 SKUs. On the top 50 commercial queries, AI Overviews were citing its manufacturers, not its own pages, so it sat in AI answers exactly 4 times. Six months of product-schema and answer-shaped page work took that to 34 AIO citations (×8.5), making the distributor the citable source instead of its suppliers.

    AI Search & GEOCatalog AI2023
  • Industrial hydraulics distributor~8,500 SKUs

    Named · with consent

    ×2

    Organic sessions from informational & pillar pages

    6-month pillar-and-cluster build

    Pillar content that out-writes the manufacturers. Informational sessions, doubled.

    Editorial cut of the Northern Hydraulics engagement (2022–2025). Over six months, senior subject-matter pillar-and-cluster content on the core fitting categories roughly doubled organic sessions from informational and pillar pages, and pushed Northern's pillars to the top of AI-Overview answers for six category terms the manufacturers used to own. This was one discipline inside the full engagement; the qualified-lead growth is reported on the anchor study.

    Editorial Authority2023 – 2024
  • Industrial hydraulics distributor~8,500 SKUs

    Named · with consent

    12%

    Reply rate, cold outbound to a built distributor list

    8-week run · engineered sender reputation

    A 12% reply rate to a cold distributor list. Deliverability, engineered first.

    Cold outbound email to a built list of hydraulics distributors and OEM buyers, run over 8 weeks as one part of the full Northern Hydraulics engagement. Deliverability came first: SPF, DKIM, and DMARC set up, sending domains warmed, then a tight 5-touch sequence to a researched list. The list returned a 12% reply rate.

    Outbound Email2024

More case studies

Other distributors. Same standard of proof.

  • Industrial hydraulics distributor~8,500 SKUs

    Anonymized · NDA

    +43.5%

    Qualified leads per month, on the August baseline

    Aug 2024 – Jan 2025 · client CRM

    1,840 to 2,640 qualified leads a month. No new ad spend.

    An ~8,500-SKU hydraulics distributor was stuck at 1,840 qualified inbounds a month. AI Overviews were citing its manufacturers, not its own category pages. Six months of catalog and AI-search work later, January closed at 2,640. That’s +43.5% over the August baseline, and we didn’t add a dollar of ad spend.

    Catalog AIAI Search & GEOAug 2024 – Jan 2025
  • Industrial automation distributor~12K SKUs

    Anonymized · NDA

    ×8.5

    AI Overview citation count, top 50 commercial queries

    4 → 34 citations · 6-month engagement

    4 to 34 AI Overview citations in six months. One Standard retainer.

    A mid-market automation distributor with ~12K SKUs was ranking well and still bleeding organic share, because AI Overviews were eating the click-through on informational queries. Six months on the Standard editorial retainer took its AI Overview citations on the top 50 commercial queries from 4 to 34. Organic leads from informational pages doubled.

    Editorial Authority2025
  • Industrial hydraulics distributor~8,500 SKUs

    Anonymized · NDA

    8,500

    SKUs replatformed in six months

    Magento 1 → Next.js + Shopify Hydrogen

    8,500 SKUs off Magento 1, onto a storefront AI engines can read.

    The same hydraulics distributor’s commerce stack was at end-of-life. Magento 1, schema AI Overviews couldn’t read, and 600ms-plus INP that was killing add-to-cart on mobile category browsing. A six-month replatform moved all 8,500 SKUs onto a headless Next.js + Shopify Hydrogen storefront, with a complete schema graph live on the first deploy.

    Website DevelopmentAI Search & GEO2024

Your catalog, same standard

Want a number like these for your catalog?

Held to the same standard as the studies above: we measure where you stand today — organic and AI-search visibility across your top categories — and show you the baseline before we propose a thing.