Composite Company Profile
The client is a North American industrial automation OEM that builds programmable controllers, servo drives, and vision systems sold into food and beverage, packaging, and automotive tier-one plants. Annual revenue sits in the $180M-$240M band, roughly 340 employees, with a direct sales team of 22 field engineers plus a channel network of 60 systems integrators. Deal sizes range from $85K for a single line retrofit to $1.4M for a greenfield plant rollout. Sales cycles run 9 to 18 months, and the buying committee typically includes a controls engineer, a plant engineering manager, a corporate procurement lead, and, on larger deals, a VP of operations.
The Problem
The client came to MV3 with a symptom their revenue leader described as “our pipeline runs on trade shows and referrals, and we have no idea what the digital funnel is doing.” Their website generated fewer than 40 form fills per quarter across all products, most of which were job seekers or students. Paid campaigns run by a prior agency were burning $18K per month on generic PLC and automation terms with a cost per marketing qualified lead north of $2,400.
Prior efforts had failed for three reasons. First, the site was built around product SKUs, not around the jobs a controls engineer is actually trying to do (retrofit an aging PLC5 line, add machine vision to a filler, meet a new OSHA safety category). Second, the content library was 90 percent PDF datasheets locked behind a form gate, which meant Google could not read most of what the client knew. Third, the paid strategy targeted the top of a category that is dominated by Rockwell, Siemens, and Omron, with no differentiation on the landing pages.
What Our Team Diagnosed
MV3’s senior team oversaw the discovery, and our SEO and analytics leads spent three weeks in the client’s Google Search Console, Google Analytics, HubSpot CRM, and closed-won deal library. The pattern that emerged was not obvious to the internal team. Ninety-two percent of closed-won deals over the prior 24 months traced back to a specific technical trigger event at the plant: a controller end of life notice, a safety incident, a line efficiency mandate from a corporate parent, or a capital project tied to a new product launch. Buyers were not searching for “PLC” or “servo drive.” They were searching for exact problem strings such as “PLC5 replacement path,” “SIL 2 safety controller retrofit,” “machine vision OCR for date code verification,” and “OEE improvement packaging line.”
Our analytics lead also found that the client’s blog, which the internal marketing team considered underperforming, was actually the single highest converting channel on a per-visitor basis. It just had almost no traffic because only 14 articles existed and none targeted a jobs-to-be-done query. The blog was proof the audience would engage. The category strategy just had no supply of the right pages.
Strategy MV3 Shipped
The engagement was structured as a Scale AI retainer with a nine month roadmap. Services engaged included technical SEO, programmatic content operations, ABM outbound, and a rebuilt paid media program. The unifying insight was to reposition the site around technical trigger events rather than product lines, and to publish enough problem-first content that every high intent search query in the client’s category had a matching page.
Three plays anchored the plan. First, a topic cluster architecture organized around 11 controls engineering job families, each with a pillar page and 8 to 14 supporting articles written to genuinely help a controls engineer solve the problem, with the client’s product as one credible option among several. Second, a programmatic layer generating retrofit path pages for every discontinued controller and drive in the North American installed base, mapped to the client’s compatible current SKU. Third, an ABM motion targeting the 240 plants inside the client’s ideal customer profile where our team identified end-of-life installed base or a corporate capital project in the public record.
Implementation
Our content team produced 96 articles and 11 pillar pages over months two through eight, all written by our technical writers under review from the client’s two lead application engineers. Every page carried FAQ schema, HowTo schema where applicable, and a technical author byline. The programmatic engine shipped 340 retrofit path pages in month four using a Python pipeline that pulled the client’s compatibility matrix and merged it with search demand data. Rank Math Pro handled sitemap and schema at scale.
On the ABM side, our outbound team ran a 12 touch cross-channel cadence into the 240 target plants, blending LinkedIn, direct mail with a printed technical brief, and personalized email from the field engineer assigned to that territory. Joe Thompson framing was not used on this engagement because the client insisted on their own field engineers being the named sender. We built the sequences in HubSpot and mirrored them into Apollo. Paid media was rebuilt around 34 problem-specific landing pages, one per major trigger event, with match type restricted to phrase and exact and every generic head term paused.
Outcomes
At the nine month mark, measured against the trailing nine month baseline, the following results held.
- Organic sessions to the technical content and retrofit pages grew from 4,100 per month to 61,200 per month, a 14.9x lift.
- Marketing qualified leads grew from 38 per quarter to 412 per quarter, a 10.8x lift, with lead quality validated by the sales team on a weekly disposition call.
- Cost per marketing qualified lead on paid media fell from $2,410 to $340, an 85.9 percent reduction, driven mostly by killing generic head terms and pointing spend at problem-specific pages.
- Sourced pipeline attributed to digital grew from $1.9M in the trailing nine months to $17.4M in the nine months post kickoff. Closed-won sourced revenue reached $3.6M by month 12, with a further $4.2M in late stage forecast.
- The client ranked in the top three positions for 1,140 commercial intent queries by month nine, up from 74 at kickoff.
Timeline
Kickoff to first material ranking lift took 11 weeks. The programmatic retrofit path pages started producing MQLs in month five. The full compounding curve on organic traffic hit in month seven. First closed-won revenue attributable to a page we published landed in month six, with the majority of the $3.6M sourced revenue closing in months eight through twelve given the 9 to 18 month sales cycle.
Composite Testimonial
“We had spent years believing our category was too technical for content marketing to matter. The MV3 team showed us we were writing for the wrong audience and hiding what we knew behind PDF gates. Nine months later our pipeline looks different, and our field engineers walk into meetings where the plant already knows who we are.” Ryan, VP of Marketing.
NDA Framing
Client identity protected under NDA. Full engagement details, source data, and reference introductions are available under mutual sign-off in a discovery call.
Talk to the Team That Built This
If you sell into industrial plants and your digital funnel is not doing the work your trade show budget is doing, the same playbook applies. Book a discovery call or read how our ABM program pairs with technical SEO to reach the buying committee inside your target plants.
