Latest / The Buyer & Seller Podcast with Fexingo: Business Brokers, Exits, and Private Sales Explained / Why a Local Gym Sold at 400x EBITDA with Membership Retention Data
Transcript
- Lucas: So a single-location gym in suburban Denver just sold for four hundred times EBITDA. And no, the buyer wasn't paying for the dumbbells or the lease. Luna: Four hundred? That's right up there with the pest control and janitorial deals we've covered. What was the asset, if not the equipment? Lucas: It was a data set. Specifically, a cohort-based membership retention model. The gym — call it Peak Fitness, though that's not the real name — had about eighteen hundred active members. But what the buyer, a mid-market private equity firm, really wanted was the ten-year history of who stayed, who left, and why. Luna: And that was worth four hundred times the annual profit? Let's put numbers on it. What was the EBITDA? Lucas: The gym was doing about a hundred and twenty thousand dollars in EBITDA annually. So the purchase price was around forty-eight million. That sounds insane for a gym, right? But the buyer was looking at the lifetime value of those members and seeing a $9 million annual recurring revenue stream with 85 percent gross margins on the membership piece. Luna: Eighty-five percent margins on membership. So the real profit engine is the monthly dues, not the personal training or smoothie bar. Lucas: Exactly. And the owner, a former software engineer turned gym operator, had built a simple cohort-tracking system in a tool called CohortFlow. He could show the buyer that members who joined in 2019 had a 68 percent retention rate after five years. Members who joined in 2022, after a rate increase, had a 72 percent retention rate. The numbers got better after he improved the onboarding process. Luna: So the data proved that the retention was improving, not declining, even with higher prices. That's a powerful signal. Lucas: That's exactly what moved the multiple. Private equity firms love predictability. If they can model that a hundred new members in year one will generate roughly the same net present value as a hundred members five years later, they can underwrite the deal with debt and project stable cash flows. The cohort data de-risked the acquisition. Luna: I'm curious about the buyer. Was it a roll-up platform, or a standalone bet? Lucas: It was a platform play. The buyer, a PE firm called Summit Ridge Partners, already owned a chain of boutique fitness studios in three states. They bought Peak Fitness specifically to acquire the retention model and apply it to their other locations. They saw the cohort tool as a software asset they could replicate. Luna: So the real acquisition was a management methodology packaged with a customer list. The gym building itself was almost incidental. Lucas: Pretty much. The lease had four years left, and the equipment was fully depreciated. The broker told me the buyer spent more time in the data room than walking the floor. They wanted to see the churn curves, the reactivation rates, the net promoter scores broken down by sign-up year. All of that was in CohortFlow. Luna: And the seller engineered that himself. That's the part I find striking — he wasn't a typical gym owner who just loves fitness. He was a quant who happened to open a gym. Lucas: Right. And that's the lesson for a lot of small business owners listening. You don't need to be a software engineer. You just need to start tracking the right metrics. For a membership business, that means sign-up cohort, monthly churn, average revenue per member, and lifetime value. Even a spreadsheet can do it, but the discipline of doing it consistently is what creates the data asset. Luna: Let's zoom out. How common is this kind of valuation? Are we going to see more 400x EBITDA deals for Main Street businesses? Lucas: I think yes, but only for businesses that have what I'd call 'institutional-grade data'. A typical gym with the same revenue but no cohort tracking might sell for 3 to 5 times EBITDA. That's a $360,000 to $600,000 deal. The data package multiplied the value by a factor of eighty to a hundred and thirty. So the delta is enormous. Luna: So for owners, the return on investment in building a simple data infrastructure is potentially millions of dollars. Lucas: Exactly. And the cost is maybe a few hundred dollars a year for a tool like CohortFlow, plus a few hours a month to update it. It's a no-brainer if you're planning to exit in the next five years. Luna: What about the buyer's perspective? Does this mean we'll see more PE firms buying single-location businesses just for the data? Lucas: I think so, especially in fragmented industries like fitness, pet services, home services — anywhere with recurring subscriptions. The data lets them centralize back-office functions and apply best practices across a portfolio. They're not buying the location; they're buying the customer relationship and the measurement system. Luna: And that's where the multiples get crazy. Because the buyer is projecting synergy savings and revenue growth from the data play, not from the existing cash flow. Lucas: Right. The $48 million price tag was based on a five-year projection that assumed Summit Ridge could cut the gym's overhead by 20 percent by consolidating accounting and marketing, and increase average revenue per member by 15 percent through cross-selling their other studio brands. Without the cohort data, they couldn't model that with confidence. Luna: So the data gave the buyer the confidence to pay up. But what's the downside? If the retention assumptions are wrong, the deal looks very different. Lucas: That's the risk. The PE firm is essentially betting that the historical retention patterns hold under new ownership. But if the new management changes the culture, or if a competitor opens next door, the churn could spike. The cohort model is backward-looking; it's not a guarantee. Luna: Still, for the seller, it was a home run. Forty-eight million for a gym that was probably worth half a million on a traditional multiple. Lucas: And that's the story we keep seeing on this show. The businesses that sell for outlier multiples have one thing in common: they've built a data asset that proves the predictability of their revenue. Whether it's a cleaning company with route density data or a gym with retention cohorts, the principle is the same. Luna: It makes me wonder: what other Main Street businesses are sitting on data they don't realize is valuable? Lucas: That's actually a great question for our listeners to ask themselves. If you run a service business with repeat customers, start tracking sign-up dates and renewal patterns. You might be holding a data asset worth ten times your annual profit. Luna: And on that note — you know, we talk a lot on this show about how these insights can literally change the value of someone's business. That's why we keep doing these episodes, and why we've kept the show free of ads. Lucas: Yeah, we deliberately don't run ads. If you find these conversations useful, and you want to support keeping them ad-free, the link is buy me a coffee dot com slash fexingo. It's a small way to help us keep doing what we do. Luna: And we appreciate every bit of support. It lets us spend time digging into deals like this one instead of chasing sponsors. Lucas: Alright, back to the data. Let's talk about what the seller actually did with CohortFlow that made the difference. Luna: Walk us through the specific metrics he tracked. Lucas: He tracked three things: monthly churn rate by sign-up year, average monthly revenue per member by cohort, and the percentage of members who reactivated after a freeze or cancellation. The reactivation rate was particularly interesting — it was 18 percent for members who had frozen their account for medical reasons. That showed the buyer that the gym had a strong enough relationship to bring people back. Luna: So the data also de-risked the revenue stream by showing it wasn't just new members carrying the business. There was a long tail of returning members. Lucas: Exactly. The buyer modeled that over a ten-year horizon, the reactivation pool alone was worth about $4 million in net present value. That's almost 10 percent of the purchase price, coming from a metric most gym owners never even measure. Luna: So the key takeaway for a business owner is: if you have a membership model, start tracking cohorts. It doesn't matter if you have 200 members or 2,000. Lucas: That's it. And if you want to see the specific template the seller used, we'll link to a sample CohortFlow dashboard in the show notes. But the bigger point is that the valuation premium isn't about being in a sexy industry. It's about proving that your customers stick around. Luna: And that's a lesson that applies way beyond gyms. Lucas: Absolutely. Whether it's a dog daycare, a lawn care company, or a software service, the same math works. Predictable recurring revenue with documented retention is the closest thing to a license to print money in the M&A market. Luna: Alright, thanks Lucas. That was a great deep dive. Lucas: Thanks Luna. And to our listeners, if you have a business with recurring customers, start building that data today. You might be sitting on a 400x multiple and not even know it.