Latest / Scaling Up with Fexingo: How Small Businesses Become Mid-Market Companies / How a Chimney Sweep Scaled to 12 Million Without a Storefront
Transcript
- Lucas: So there's this chimney sweep in Portland. Started seven years ago with a single van and a Facebook page. Last year, he did twelve million dollars in revenue across three states. No storefront. No paid ads. And here's the part that got me — eighty percent of his new customers came from a single referral incentive he changed exactly once. Luna: Eighty percent from referrals is wild. Most service businesses I've looked at top out around thirty, maybe forty percent. What was the incentive? Lucas: Twenty-five dollars off the next inspection for both the referrer and the new customer. But the detail is how he delivers it. He doesn't mail a check or send a coupon. The technician hands the existing customer a card after the job is done and says, 'If your neighbor signs up, you both get twenty-five off your next cleaning.' It's immediate. It's personal. And it ties the reward to the technician, not the office. Luna: So the technician becomes the salesperson in the field. That's smart because the customer already trusts them. But how do you prevent that from turning into a race to refer low-quality leads? Lucas: He told me they track a metric called 'referral to booking conversion rate.' If a technician's referrals consistently book at a lower rate than the average, they get coaching on how to identify better prospects. But honestly, the bigger filter is the incentive itself — twenty-five bucks isn't enough to make someone refer a bad lead. You only hand that card to a neighbor you actually trust. Luna: That makes sense. And it keeps the cost of customer acquisition absurdly low. What's his customer acquisition cost, do you know? Lucas: He calculates it at roughly eight dollars per new customer. That's the cost of the discount redeemed plus the card printing. Compare that to the average home services business that spends fifty to a hundred dollars per lead on Google Ads alone. Luna: Eight dollars. That's almost not real. So how did he get from one van to twelve million without blowing up that model? Scaling usually kills referral systems because the personal touch fades. Lucas: That's the core tension, right? He grew from one van to eighteen. And the thing that saved him was the scheduling system. He built a custom algorithm — nothing fancy, just a spreadsheet with conditional logic at first — that optimized routes based on technician skill level, job complexity, and geographic density. The goal wasn't to fill every hour. It was to minimize drive time between jobs. Luna: So he prioritized efficiency over volume. How did that affect the bottom line? Lucas: Technician utilization — the percentage of their paid day spent on billable work — went from about fifty-five percent to over eighty percent. That's huge in a service business where drive time is pure cost. He also pays technicians per completed job, not by the hour. That aligns incentives. The faster and better they work, the more they earn. And because they're not rushing to hit a clock, quality stays high. Luna: I've seen per-job pay backfire in other trades. Technicians start cutting corners to get through more jobs. How did he avoid that? Lucas: He ties a portion of the per-job rate to customer satisfaction scores. After every job, the customer gets a text with a one-to-five rating. If a technician's average drops below 4.7 over a month, they get a conversation, not a penalty, but it's clear that quality is non-negotiable. He also does random spot checks — a manager swings by a job site unannounced maybe once a month per tech. Luna: So it's a mix of incentives and accountability. That feels scalable. But what about the seasonality piece? Chimney sweeps are hyper-seasonal. Most revenue comes in the fall and winter. How did he flatten that curve? Lucas: He introduced what he calls 'off-season maintenance memberships.' For a hundred and fifty bucks a year, customers get a spring inspection, a fall cleaning, and priority scheduling during peak months. About forty percent of his customer base is now on that membership. That gives him predictable cash flow in the spring and summer when demand is low. And it locks in repeat business. Luna: That's essentially a subscription model for a chimney sweep. I love that. What's the retention rate on those memberships? Lucas: Seventy-two percent year over year. Which is strong for home services. The key is that he auto-renews on the same credit card, and he sends a reminder text two weeks before the spring inspection. The customer doesn't have to think about it. And because the membership includes priority scheduling, peak-season customers actually get better service than non-members. That creates a real incentive to join. Luna: Right — it's not just a discount. It's a better experience. So let's talk about the expansion to three states. How did he decide which markets to enter? I imagine you can't just replicate the Portland model blindly. Lucas: He looked for cities with a high density of homes built before 1980 — older chimneys need more frequent maintenance — and a low density of existing chimney service providers. Then he'd send one experienced technician from Portland to the new city for the first season to build a customer base. That technician would train local hires on the company's methods. Once the local team could operate independently, the Portland tech moved to the next market. Luna: So it's a hub and spoke with a cultural carrier. That's how you maintain consistency. Did he ever consider franchising? Lucas: He said no. Franchising would mean giving up control over the customer experience. He wants every technician to follow the same checklists, use the same equipment, and offer the same referral incentive. He'd rather grow slower and protect the brand. And the numbers back him up — his net promoter score across all three states is eighty-nine. That's insane for a home service company. Luna: Eighty-nine NPS is best-in-class territory. Most home services companies are in the forties or fifties. So what's the one metric he looks at every morning? Lucas: It's not revenue. It's not profit. It's 'promised arrival time variance.' That's the difference between when he tells a customer a technician will arrive and when the technician actually shows up. He keeps a running average on a dashboard. If it drifts above seven minutes, he knows something is broken in the scheduling or routing. He told me that if you nail that metric, everything else — repeat business, referrals, satisfaction — tends to take care of itself. Luna: That's the kind of operational discipline that separates a twelve million dollar company from a one-million-dollar company. It's not about some secret growth hack. It's about doing the boring stuff really well. Lucas: Exactly. And I think that's a theme we keep coming back to on this show. The businesses that scale sustainably are the ones that obsess over a single operational metric and build every system to protect it. For this guy, it's arrival time variance. For another company, it might be first-time fix rate or churn rate. But it's never ten things. It's one thing. Luna: And by the way, if you found this episode useful in your own business — even just the thought of tracking one metric more carefully — that's exactly the kind of conversation we want to keep having. This show stays ad-free because of listeners who chip in at buy me a coffee dot com slash fexingo. It's a small way to keep the insights coming without interruption. Lucas: Yeah, we really appreciate that. And honestly, the feedback we get from that community often shapes future episodes. So it's a two-way street. Anyway — back to the chimney sweep. One more thing I found fascinating. He told me that his biggest competitive advantage isn't the pricing or the referral system. It's the fact that he answers the phone himself until the company hit about seven million in revenue. Luna: Wait — the founder answered the phone? For how long? Lucas: Up until about two years ago. Every call. He said that in the early days, he could hear the hesitation in a customer's voice when they were about to spend a few hundred dollars on a chimney cleaning. He learned exactly what questions to ask to build trust. And he encoded those questions into a script that his first three office staff used. By the time he stopped answering, the script was so good that the customer didn't notice the difference. Luna: That's the kind of hands-on founder knowledge that you can't buy. He essentially wrote the playbook by listening to thousands of calls himself. And now that playbook is the backbone of the company's customer experience. Lucas: Exactly. And I think that's the real lesson here. Scaling a service business isn't about finding a magic channel or a viral loop. It's about building systems that encode the founder's best instincts. The referral incentive, the scheduling algorithm, the membership model, the arrival time metric — each one is a system that replaced a founder's intuition with a repeatable process. And that's how you go from one van to eighteen, from zero to twelve million, without breaking what made you good in the first place. Luna: Alright, I'm going to start tracking my own arrival time variance. Maybe not for chimney sweeps, but for the deadlines I give myself. Let's see if I can get it under seven minutes. Lucas: I'd love to see that dashboard. Good luck.