Latest / Scaling Up with Fexingo: How Small Businesses Become Mid-Market Companies / How a Pet Groomer Scaled Past 7 Million by Fixing Booking No-Shows
Transcript
- Lucas: So today I want to talk about a problem that eats revenue in almost every service business — the no-show. And a specific fix that one mobile pet grooming company in Austin used to go from one point two million to seven point three million in about three years. Luna: I feel like every small business owner I talk to has some version of this problem. The dentist who has empty chairs, the plumber who drives twenty minutes and the customer isn't home. Lucas: Right. And the standard advice is always 'charge a cancellation fee' or 'take a deposit.' But the founder here, Jenna Ortiz, looked at the data and realized that approach would actually hurt her business more than help it. Luna: Why? I mean, deposits are pretty standard now. Even my hair salon charges fifty percent if you cancel with less than twenty-four hours. Lucas: Sure, but Ortiz's business was mobile. She drives a van to people's houses. The customer is already at home. A deposit would have added friction at the point of booking, and for a first-time customer who's never used her service, that friction could kill the conversion altogether. She tested it — when she added a ten-dollar deposit requirement, her booking conversion dropped by about fifteen percent. Luna: Ouch. So deposits solved the no-show problem but created a bigger booking problem. Lucas: Exactly. So Ortiz went back to the data. She found that twenty-two percent of first-time bookings were no-shows. But repeat customers? Only about three percent no-show rate. The problem was almost entirely with new customers who didn't yet have a relationship with the business. Luna: So the question becomes: how do you get a new customer to show up without punishing them before they've even tried you? Lucas: That's exactly the framing she used. Her solution was a text-based confirmation system with a three-hour window. When a customer books online, they get an automatic text twenty-four hours before — 'Hi, this is Jenna from Happy Paws Mobile Grooming. Your appointment is tomorrow at 10 AM. Please reply YES to confirm or NO to cancel. If we don't hear from you by 7 AM, we'll release your slot to another customer.' Luna: And if they don't reply? Lucas: Then at 7 AM, the system automatically sends a text to a standby list. This is the key piece. Ortiz built a list of about two hundred local pet owners who said 'if someone cancels, I want first dibs.' Most of them were previous customers who had flexible schedules. She'd text them: 'We just had an opening at 10 AM today in your area. First to reply gets it.' Luna: So she turned a potential loss into an opportunity to reward loyal customers. That's smart. Lucas: And here's the math. Before the fix, with twenty-two percent no-shows, she was losing about one hundred forty thousand dollars a year in wasted drive time and missed revenue. After the fix, no-shows dropped to four percent. The standby list filled about sixty percent of the released slots. So her effective loss went from one hundred forty thousand to about twenty-five thousand. That's a one hundred fifteen thousand dollar swing, for basically no cost. Luna: And she didn't need any fancy software. A simple texting platform and a spreadsheet for the standby list. Lucas: She used a service called Textline — costs about thirty dollars a month. The spreadsheet she managed herself. The whole system took maybe two hours to set up. And the behavioral insight is subtle but powerful: asking someone to confirm three hours before creates a deadline that feels immediate. It's not 'confirm by tomorrow,' it's 'confirm by 7 AM.' That urgency drives action. Luna: And the standby list creates FOMO for the customers who are already loyal. They feel like they're getting an insider perk. Lucas: Exactly. And that's the thing — Ortiz didn't just fix a problem. She turned the no-show into a retention tool. The standby customers started booking more frequently because they felt like they had a special connection to the business. Luna: So how did she go from one point two to seven point three? Was it just the no-show fix? Lucas: No, but it was the foundation. The revenue recovery gave her the cash flow to hire a second groomer and buy a second van. Then a third. And because the no-show rate was low, she could schedule those vans efficiently. She also added a referral program — 'bring a friend, get a free nail trim' — but the no-show fix was the thing that made the math work at scale. Luna: And I imagine that the standby list also helped with route density. If a van is already in a neighborhood and a spot opens up, you can fill it with a customer nearby. Lucas: That's exactly right. Ortiz told me that the standby list was disproportionately concentrated in the same zip codes as her regular customers. So when a no-show happened in, say, the 78704 area, she'd text the standby list and almost always find someone within a mile. The drive time waste dropped from about thirty minutes per no-show to maybe five minutes. Luna: So she essentially built a real-time demand buffer for free. I can see why so many service businesses overlook this — it seems too simple. Lucas: I think the reason most businesses don't do it is that they think in terms of penalties rather than incentives. The default is 'how do I punish the person who doesn't show?' But Ortiz asked 'how do I reward the person who does show — and how do I make it easy for someone else to step in?' That shift in framing is everything. Luna: And the standby list doubles as a marketing list. Those two hundred people are your most flexible, most loyal customers. They're essentially your brand ambassadors. Lucas: Right. And when you think about it, most small service businesses have a similar untapped asset. The customers who are already happy. You just have to ask them in the right way. Luna: Speaking of asking in the right way — if these kinds of operational deep dives have moved your thinking forward, listener support is what keeps this show ad-free and focused on exactly these stories. You can help at buy me a coffee dot com slash fexingo. No pressure, just a way to keep the conversations going. Lucas: And we appreciate it genuinely. So back to the standby list — Ortiz eventually automated the whole thing. She integrated the texting platform with her booking calendar so that the standby list was triggered automatically. No manual spreadsheet updates. That's when the business really started to scale. Luna: So what's the takeaway for someone listening who runs a different kind of service business? Say a plumber or a house cleaner. Lucas: I'd say the first step is to measure your actual no-show rate by customer type. Ortiz thought it was about ten percent across the board until she segmented the data. The twenty-two percent number for first-timers was a surprise. Second, ask yourself: is the problem really cancellations, or is it unfilled slots? If you can fill a slot quickly, a no-show becomes a minor inconvenience rather than a revenue hit. And third, build a standby list before you build a penalty system. It's lower friction, higher goodwill, and it might just be the thing that lets you hire that second employee. Luna: And the cost of entry is basically zero. A spreadsheet and an SMS account. Lucas: Yeah. Ortiz spent maybe two hundred dollars total on her first year of the system. The return was over one hundred thousand. That's the kind of math that builds a mid-market company.