Latest / Scaling Up with Fexingo: How Small Businesses Become Mid-Market Companies / How a Commercial Cleaning Company Scaled to 40 Million by Fixing Labor Efficiency
Transcript
- Lucas: So there's this commercial cleaning company in Dallas — started with one contract cleaning a dentist's office after hours. Fifteen years later, they're doing forty million in revenue. And the interesting part isn't the revenue number. It's the fact that they didn't get there by selling more contracts. Luna: Wait, how do you scale a cleaning company without selling more contracts? That's like... the whole business model? Lucas: Right, they did sell more contracts — but the growth engine wasn't the sales team. It was labor efficiency. The founder — his name's Marcus — figured out early that in commercial cleaning, your only real asset is the hour a cleaner works. If you can get more of those hours billable, you don't need to double headcount to double revenue. Luna: So what was his labor efficiency ratio when he started? Lucas: Around forty percent. Meaning for every ten hours he paid cleaners, only four hours were actually billed to a client. The rest was travel time between buildings, waiting for access, or just inefficient routing. By the time he hit forty million, that ratio was over seventy percent. Luna: That's a huge swing. How did he move it from forty to seventy? Lucas: It happened in three distinct phases. Phase one was just getting visibility. He started using GPS time tracking — not to spy, but to see where cleaners actually were during their shift. He found that one crew was spending forty-five minutes a day driving between two buildings that were twelve miles apart. Luna: That's a lot of windshield time for a job that pays by the hour. Lucas: Exactly. So phase two was route optimization. He started bundling nearby contracts into geographic clusters. If he had a client on Elm Street and another three blocks away, the same crew handled both in one shift. That cut travel time from forty-five minutes down to about fifteen. Luna: But that only works if you have density. What about when you're still small and contracts are scattered? Lucas: That's the challenge. Marcus actually turned down some contracts early on because they were too far from existing clusters. He said it was painful — especially when you're at two million in revenue — but he knew that adding a distant client would drag down the efficiency ratio for everyone. Luna: So he deliberately capped growth in exchange for efficiency. That's a hard call for a founder. Lucas: It is. But it paid off. The third phase was the incentive system. He created a bonus pool for crews that hit a seventy-five percent billable hour threshold. If a team of three cleaners averaged seven and a half billable hours out of a ten-hour shift, they split a two-hundred-dollar bonus. That got the cleaners themselves invested in the routing. Luna: I love that — because the cleaners know the buildings better than any dispatcher. They probably found shortcuts the software never would. Lucas: Exactly. One team realized they could clean a medical office at 6 p.m. instead of 9 p.m. — the client was fine with it — and that let them do two more small jobs on the same shift. Their efficiency hit eighty-two percent. Marcus said that one discovery alone added about three hundred thousand in annual revenue capacity without hiring anyone. Luna: So at forty million, how many people does he employ? Lucas: About six hundred cleaners — but with a seventy percent efficiency ratio, that's the equivalent of having eight hundred and fifty cleaners at the old forty percent rate. He basically got two hundred and fifty workers' worth of output for free. Luna: That's the whole story, isn't it? Scaling isn't just about adding headcount. It's about getting more out of the headcount you already have. Lucas: Exactly. And the thing is, most service businesses think about growth in terms of revenue. But revenue growth without efficiency growth just means you need more people, more trucks, more supervisors. Pretty soon you're at ten million with a hundred employees and a dozen managers, and your margins are actually worse than when you were at two million. Luna: I've seen that happen. A friend runs a landscaping company — hit five million last year, but his net profit was lower than at three million because he kept adding crews without fixing routing. Lucas: That's the classic trap. Marcus avoided it by making labor efficiency the north star metric. Every month he'd look at the ratio by crew, by shift, by client. If a client's building required a lot of waiting time — say, a secured office where cleaners couldn't get in until 8 p.m. — he'd either renegotiate the rate or drop the contract. Luna: That's aggressive. But I guess if you're disciplined about efficiency, you can afford to lose the tough clients. Lucas: And the numbers back it up. At seventy percent efficiency, his gross margin was around thirty-eight percent. Industry average for commercial cleaning is closer to twenty-five. So he had a thirteen-point margin advantage — which he could reinvest in higher wages, better equipment, or even lower prices to win more clustered contracts. Luna: So the efficiency itself became a competitive moat. Lucas: Exactly right. One thing he told me really stuck: 'We don't compete on price. We compete on the fact that we can pay cleaners four dollars more per hour and still have better margins than our competitors.' That's the power of a high-efficiency operation. Luna: I want to circle back to that moment at two million when he started turning down contracts. How did he know it was the right call? At that point, every new contract probably felt like a lifeline. Lucas: He said it was terrifying. But he had a mentor who told him: 'Revenue covers your costs. Efficiency covers your future.' So he built a simple rule — no new client more than fifteen minutes from an existing cluster. That forced him to focus on a single zip code until he had critical mass, then expand to the next one. Luna: That's almost like a franchise model, but without the franchise fees. Lucas: It's exactly that. He essentially created micro-territories. Each cluster had a lead cleaner who was responsible for the efficiency ratio of that group. That lead got a bonus based on the cluster's performance — so they became mini-CEOs. That distributed ownership without needing a bunch of district managers. Luna: How many supervisors does he have at forty million? Lucas: Only eight. For six hundred cleaners. That's one supervisor per seventy-five workers. Industry standard is one per thirty or forty. So he saved a fortune in management overhead. Luna: That's incredible. But I wonder — does this only work for commercial cleaning? Or can other service businesses apply the same playbook? Lucas: I think any business where labor travels to the work can use it. Think HVAC, pest control, mobile dog grooming, even home healthcare. The principle is the same: billable hours divided by paid hours. If you can get that number up, you scale without proportional headcount growth. Luna: So the first step is just measuring it. Most owners probably don't even know their ratio. Lucas: Exactly. Marcus said when he started tracking, he was shocked at how much paid time wasn't billed. And once you see the number, you can't unsee it. It becomes this game of 'how do I get that number up by one point this month?' Luna: And one point on a forty-million-dollar business with seventy percent efficiency... that's a lot of money. Lucas: Huge. Each percentage point improves gross margin by roughly four hundred thousand dollars. So the incentive to optimize is massive. And that's why this episode matters to me — because this isn't a sexy story about a tech startup. It's a gritty, blue-collar business that got rich by paying attention to a boring number. Luna: And speaking of boring numbers that matter — we talk about this kind of thing every day on this show, and we do it without ads. No sponsors, no commercial breaks. If you find value in these conversations and want to support them staying ad-free, you can do that at buy me a coffee dot com slash fexingo. Lucas: Yeah, that's a big part of why we can go deep on something like labor efficiency without having to rush to a sponsor break. Every bit of support helps keep it that way. And honestly, if this episode gave you one idea that saves you time or money, that's worth more than any ad read. Luna: Totally. So back to Marcus — what's he working on now that he's at forty million? Lucas: He's trying to push efficiency to eighty percent. He thinks it's possible with better scheduling software that accounts for real-time traffic and building access patterns. He's also experimenting with four-day workweeks for some clusters — longer shifts, but fewer travel days. Early results show efficiency hitting seventy-eight percent in those groups. Luna: That's fascinating. A four-day workweek actually improving efficiency? That's counterintuitive. Lucas: It is, but think about it: if a cleaner works four ten-hour days instead of five eight-hour days, you eliminate one day of travel. That's a twenty percent reduction in non-billable time right there. And the cleaners love it because they get a three-day weekend. Luna: So the next frontier might be scheduling innovation rather than route optimization. Lucas: Exactly. And that's the takeaway — there's always another layer. The companies that scale well are the ones that keep finding the next lever. Marcus started with GPS tracking, then routing, then incentives, then scheduling. Each one gave him another few points of efficiency. Luna: And the ones that stall are the ones that think 'we've already optimized everything.' Lucas: Exactly. There's always a next lever. You just have to be willing to look at the boring numbers.