Section 1 · The Problem
Biovis manufactures and sells institutional hygiene equipment for institutional procurement: soap dispensers, hand dryers, paper towel holders, trash bins, and accessory lines for offices, hospitals, construction sites, and commercial spaces. The buyer is a procurement manager, an engineer, or an architect specifying equipment for a project. The sale starts with a catalog download or a WhatsApp conversation. Nothing closes without a qualified lead first.
Biovis had a strong product, a clear market, and a sales team capable of closing. What they didn't have was a systematic way to put the right buyer in front of that team at scale. Lead generation for institutional B2B equipment isn't a simple funnel. The buyer is technical, the purchase is considered, decisions involve multiple stakeholders, and a "lead" that doesn't fit the buyer profile burns the sales team's most valuable resource: time.
They found Loocro in the first half of 2021. Five years later, the partnership is still running.
Section 2 · The Diagnosis
When we audited the market and the operation, three things shaped the strategy.
01The buyer profile was crisp, but the targeting wasn't.
Procurement managers, facilities engineers, and architects specifying institutional projects look very specific on paper. The Biovis ICP wasn't fuzzy. What was fuzzy was the campaign architecture pointing budget at them. Broad targeting was attracting consumer-grade interest that the sales team had to filter out manually every week.
02Two channels needed to do two different jobs.
Google could capture the active intent: engineers, architects, and procurement teams searching for specific equipment for a specific project. Meta could build reach and generate catalog downloads from buyers who matched the profile but hadn't started searching yet. Running them with the same logic, the same creative, and the same audience model was leaving signal on the table on both sides.
03Qualification rate had to be the gatekeeper metric, not lead volume.
Anyone can buy more leads. The harder question is: what percentage of those leads makes it past the sales team's qualification check? Industry benchmarks for B2B sit between 25% and 45%. We set 60% as the operating floor from day one. Anything below that meant the campaigns were attracting the wrong audience, no matter how cheap the CPL looked.
Section 3 · What Changed
We built two campaign engines with two distinct jobs.
Google Ads, tuned for active intent.
Search campaigns tied to product-specific and solution-specific keywords. Engineers, architects, and procurement teams actively searching for institutional hygiene solutions, hand dryers for specific environments, or equipment for construction projects, met Biovis at the moment of decision.
Meta Ads, tuned for buyer-profile reach.
Targeting construction companies, facilities managers, and decision-makers in industries that consume institutional hygiene equipment at scale. Lead campaigns drove catalog downloads and WhatsApp contact initiations, feeding the sales team a consistent flow of warm prospects who hadn't yet started looking.
Both channels evolved continuously over five years. New product launches triggered new campaigns. Seasonal demand patterns shaped budget allocation. The sales team reported back weekly on lead quality, and that feedback became the steering wheel for every reallocation decision.
The 2025 restructuring of the Google account was the largest single optimization in the partnership's history: a complete rebuild of campaign structure built on five years of accumulated qualification data. We knew which keywords fed the sales team and which fed the trash folder. The new architecture systematized that knowledge.
Section 4 · The Metrics
| Metric | 2024 (year 4) | 2025 (year 5) |
|---|
| Google CPL (avg) | ~$38/lead | ~$12/lead |
| Meta CPL (avg) | ~$11/lead | ~$9/lead |
| Google CPL improvement | baseline | −70% |
| Qualification rate | > 60% | > 60% |
| Lead volume | strong | higher than year 4 |
| Lifetime Metric | Value |
|---|
| Total leads generated | 22,000+ |
| Sales-validated qualification rate | > 60% throughout |
| Partnership duration | 5 years and counting |
Read the table this way: The 70% CPL drop didn't come from buying cheaper traffic. It came from five years of disciplined data feeding a smarter account architecture. Volume went up, cost went down, qualification rate held above the 60% B2B benchmark. More leads. Lower cost. Same budget. Same standard.
Section 5 · The Business Impact
Twenty-two thousand qualified opportunities over five years isn't only a marketing result. It's a sales operation that scaled with stability.
When CPL drops 70% in a single year on a five-year-old account, the math compounds across every team that touches a lead. Sales spends less time qualifying noise and more time closing real buyers. Operations forecasts more accurately because the inbound flow is more predictable. Procurement (Biovis's own procurement, on the supply side) can plan inventory with confidence because the demand signal upstream is steady.
The 60%+ qualification rate is the line that keeps the whole thing honest. Without that floor, a CPL drop is just cheaper noise. With it, a CPL drop is real efficiency the business can convert into growth.
