Latest / Scaling Up with Fexingo: How Small Businesses Become Mid-Market Companies / How a Plumber Scaled to 30 Million by Fixing Dispatch
Transcript
- Lucas: So, there's this plumbing company in Austin called Blue Pipe Services. Started about twelve years ago by a guy named Marcus Vega. He was a master plumber working out of a Ford F-150. Luna: Right, the classic owner-operator grind. I know a few plumbers who started that way. Lucas: Exactly. For the first six years, Marcus did everything himself. Then he hired a second plumber, then a third. By year eight, he had five trucks. But here's the thing — the business was plateauing around $1.5 million in revenue. He couldn't figure out why adding more vans wasn't adding proportional revenue. Luna: Which is a classic story in home services. More capacity doesn't automatically mean more output if your dispatch is broken. Lucas: That's exactly what it was. Marcus told me he'd be sitting in the office at 7 AM with a paper map and a dry-erase board, trying to figure out which plumber should go where. And he was just guessing. First call of the day might be a leak in Round Rock. Second call might be a water heater in South Austin. His guys were driving past each other on the highway. Luna: Which means billable hours were getting eaten by windshield time. So how did he fix it? Lucas: He spent about $15,000 on a dispatch software platform called ServiceTitan. I know, I know — everyone says 'buy software.' But the specific implementation is what matters. He didn't just plug in addresses. He spent three months reconfiguring how they scheduled jobs. Luna: Three months? That's a big investment for a $1.5 million company. Lucas: It was. But here's what he did first. He started collecting data on how long each type of job actually took. Not the theoretical time — the real time, including travel and parts runs. He had his guys log every job with a start and end time, and he tracked mileage between stops. After about four weeks, he had a pretty accurate model: a toilet repair averages 45 minutes on site, a water heater swap is about two hours. Luna: So he built his own internal benchmark. That's smart because off-the-shelf estimates are usually wrong for a specific market. Lucas: Exactly. Austin traffic is different from, say, Des Moines. Once he had that data, he changed the dispatch logic. Instead of sending the closest plumber to the next job, he started optimizing for the end of the day. He wanted every plumber to finish within 30 minutes of their last job's location — not back at the shop. Luna: Oh, interesting. So the goal wasn't just minimizing drive time per job, it was minimizing the overall day's wasted movement. Lucas: Right. He called it 'endpoint dispatch.' Every morning, the system would look at the day's jobs, the plumbers' skills, and their home addresses. Then it would assign a sequence that ended each plumber near their home. That cut unpaid overtime and gave guys more family time. Retention went up. Luna: And what about the customers? Did wait times suffer? Lucas: Actually, they improved. Because the system also prioritized emergency calls. If a pipe burst, the algorithm would reassign the nearest plumber regardless of their current route. The software could recalculate on the fly. Before, Marcus would have to call around and figure out who was free. That took ten minutes. The system did it in seconds. Luna: So what was the revenue impact? You said they hit $30 million. That's a 20x jump from $1.5 million. Lucas: Yeah, but it didn't happen overnight. The first year after the software, they went from $1.5 million to $2.8 million — just by increasing utilization. Each plumber went from an average of four calls a day to six. That's 50% more revenue per truck, with no new hires. Then they scaled the model. They hired more plumbers, but now each new truck generated more revenue than the previous ones because dispatch was efficient. Luna: So the software was a force multiplier, not just a cost saver. And that $15,000 investment — what's the ROI look like now? Lucas: Marcus told me he calculated it at about 400 times return over five years. Because that system supported the growth from 5 trucks to 45 trucks. Without it, he'd have needed a whole team of dispatchers. He still has only two dispatchers, and they handle 150 jobs a day. Luna: That's wild. But let me push back a little — wasn't there cultural resistance? Plumbers are notoriously independent. Did they push back on being tracked? Lucas: They did. Marcus had a few guys quit in the first month because they felt micromanaged. But he learned to frame it differently. He started showing them the data: look, if you finish your last job in Cedar Park and you live in Cedar Park, you're home by 4:30 instead of 5:30. Once they saw the personal benefit, the resistance faded. Luna: So transparency was key. He used the data for their benefit, not just his. Lucas: Exactly. And he also changed the incentive structure. Instead of paying purely by the job, he added a bonus for on-time completion and low customer callbacks. That aligned everyone's goals. Luna: I wonder if this approach works beyond plumbing. Like, could a landscaping company or a mobile mechanic use the same playbook? Lucas: Absolutely. The principles are the same: know your real job durations, optimize for end-of-day location, and build in real-time rerouting for emergencies. The specific software might differ — there's Housecall Pro, Jobber, FieldEdge — but the logic is universal. Luna: If these conversations have moved your work forward in some small way, it's worth mentioning that listener support is what keeps this show ad-free. We don't run sponsor spots or sell your data. It's just us, talking through what actually works in business. Lucas: Yeah, and if you've gotten value from episodes like this one — maybe you're a business owner or you're thinking about scaling — you can toss a few bucks toward the show at buy me a coffee dot com slash fexingo. No pressure, just a way for the community to keep this going. Luna: Right. And speaking of scaling — let's get back to Blue Pipe. Because the dispatch fix was step one. The real scaling happened when they started using the data to predict demand. Lucas: Yes. Marcus told me that after about two years of data, he could see seasonal patterns. For example, water heater calls spike in October when people are prepping for winter. And toilet clogs spike on holiday weekends. So he started pre-scheduling extra plumbers a month in advance. That way, they didn't have to scramble or pay overtime. They just had the right capacity at the right time. Luna: So dispatch software turned into a planning tool. That's a much bigger leap than just routing. Lucas: It is. And it's what allowed them to go from 5 to 45 trucks without hiring a fleet manager. The system does the forecasting, the scheduling, and the real-time adjustments. Marcus told me his dispatchers spend more time talking to customers now than assigning jobs. That's a huge quality improvement. Luna: Customer satisfaction must have gone up too. If you're getting a plumber when they say they'll arrive, that's rare in home services. Lucas: It did. Their Net Promoter Score went from 42 to 78 over three years. And their callback rate — when a customer has to call again for the same issue — dropped from 12% to 4%. That's partly better work, but mostly better scheduling. When plumbers aren't rushed, they do better work. Luna: So the dispatch fix wasn't just operational; it was a quality lever too. And now they're at $30 million. What's next for Blue Pipe? Lucas: They're expanding into HVAC and electrical. Same software, same playbook. Marcus says the dispatch logic is actually easier for those because the job types are more standardized. He's aiming for $60 million in three years. Luna: That's ambitious. But after hearing this, I wouldn't bet against him. The dispatch fix is one of those boring operational changes that creates compound returns. Lucas: Exactly. It's not sexy, but it's the kind of thing that separates $2 million businesses from $30 million ones. And it's replicable. Luna: Alright, next time we should talk about how they handle hiring at that scale. Because finding 45 plumbers who are reliable and skilled — that's a whole other challenge. Lucas: It is, and we'll get into it. Thanks for listening.