Claritas One
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Manufacturing9 months·North America

Industrial Equipment Manufacturer · $340M Revenue

Generated $4.2M in qualified pipeline in nine months from zero digital presence

A ninety-year-old industrial equipment manufacturer was dependent on trade shows and referrals, producing unpredictable quarterly pipeline. A full-funnel demand programme combining a technical SEO rebuild, long-form content engineering, and LinkedIn ABM to four hundred named accounts generated $4.2M in qualified pipeline and shifted the revenue mix to sixty-two per cent organic-sourced.

$4.2M
Pipeline
+340%
Organic traffic
62%
Organic-sourced
400
ABM accounts
Pattern study · Client is anonymised; details may be composited across engagements to preserve commercial confidentiality. Outcomes reflect the kind of result these methods are designed to deliver.

When our client's commercial director first engaged us, the company had just completed its ninetieth year in business and its first year of declining revenue in over a decade. The manufacturer — specialists in precision industrial separation equipment for the food, pharmaceutical, and chemical processing industries — had built its entire commercial motion on two pillars: a calendar of seven major trade shows a year, and a referral network cultivated over decades by a sales organisation that averaged twenty-three years of tenure. Neither pillar was failing, exactly. But younger buyers at their target accounts — process engineers who were now making specification decisions that had previously been made by plant managers — were increasingly absent from the trade show floor and arriving at the referral conversation already committed to a competitor they had first encountered online.

The commercial diagnosis was uncomfortable but unambiguous: the company owned extraordinary technical authority in their field, documented in seven thousand pages of engineering literature and forty years of application case studies, and none of it was accessible to the people now making the purchase decision. Their website — last rebuilt in 2016 — ranked for their brand name and essentially nothing else. Organic traffic was less than eighteen hundred visits a month. The content library that represented their competitive moat existed only as PDFs emailed by sales representatives to qualified inquiries.

We built the programme in three concentric rings. The first ring was a technical SEO rebuild. We mapped one hundred and twenty long-tail query clusters against the manufacturer's specific product categories and application contexts — queries like 'high-shear mixer for pharmaceutical API production' or 'explosion-proof separator for solvent recovery' — and audited the competitive landscape for each. The gap was significant: for the large majority of these queries, the top ten results were technical content from competitors, aggregator sites, or academic papers, and our client appeared on none of them. We rebuilt the site architecture as a hub-and-spoke structure with deep technical pillar pages at each hub, internally linked to application-specific content and to the product pages themselves. Page-level Core Web Vitals were re-engineered to pass on mobile — where the majority of traffic in the sector now originates, even for technical buyers.

The second ring was content engineering. Rather than commission generic articles, we interviewed the manufacturer's senior applications engineers — four of whom had over thirty years of field experience — and converted their expertise into long-form technical content paired with video demonstrations shot at the client's own manufacturing facility. Forty-three pillar articles were published over seven months, each between three thousand and six thousand words, each with schema-marked-up technical specifications and clear calls to action routed into the client's existing HubSpot CRM. The content was gated where appropriate (downloadable application notes, sizing calculators) and open elsewhere to support discoverability.

The third ring was LinkedIn account-based marketing. We identified four hundred target accounts from the client's ideal customer profile — process engineering leaders at pharma, food, and chemical manufacturers within specific revenue bands — and built account-specific sequences that combined LinkedIn paid reach, sales navigator outreach, and direct mail for the highest-priority accounts. The sequences were calibrated to the buying cycle observed in the client's historical closed-won data: a mean of seven distinct touches over one hundred and forty-two days.

The commercial outcomes arrived sooner than the client's commercial team had modelled. Organic traffic grew from roughly eighteen hundred monthly visits to over eighty thousand within eight months. Qualified leads sourced from organic content began appearing in the pipeline within the first quarter and compounded through the engagement. By month nine, the programme had contributed four point two million dollars in qualified pipeline — verified by the sales organisation — with sixty-two per cent attributed to organic and content channels rather than trade shows or referrals. The commercial director reported to the board that the pipeline predictability problem that had initiated the engagement was now inverted: the ABM programme was generating more qualified demand than the sales organisation had historical capacity to pursue, and the next investment cycle would be focused on sales enablement rather than further demand generation.

Tags
Demand GenSEOContentABM
Stack
HubSpotAhrefsLinkedIn Sales NavigatorWebflowMutiny

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