Churn Isn’t What You Think It Is in Car Washing
Operations, AI & Data
If churn is often just trial, then understanding what happens after may matter more than the churn itself.
As an industry, we’ve become obsessed with churn. Not because churn is new, but because our visibility into it is. For the first time, we can track member behavior in detail. We know when someone signs up, how often they wash, and exactly when they cancel. And like anything we can measure precisely, we’ve started to over-index on it.
The problem is that we’re applying a subscription mindset to a business that doesn’t actually operate like a traditional subscription business.
Most subscription businesses have one product: the subscription itself. When a customer churns, they’re gone. Car washing is different. We have two products—retail and subscription—and that changes everything.
In most cases, when a customer “churns,” they haven’t disappeared. They’ve simply moved from product two (subscription) back to product one (retail). They tried the subscription and then went back to paying per wash. That’s not the same as losing a customer.
This is where I think we need a better definition. What we often call voluntary churn in car washing is, in many cases, something else entirely. I think we should call it Trial Churn.
“In a two-product business, churn often says less about loss—and more about how customers behave.”
Trial churn is what happens when a retail customer tries a membership and then returns to retail. When you look at it that way, the story changes. Trial churn is not failure—it’s evidence of conversion. You successfully got a retail customer to try the subscription model. Some will stay. Some will go back. But the act of trying is valuable in itself.
This is also why low churn can be misleading. When I hear operators talk about having very low churn, say 4–5%, it’s often framed as a sign of success. But it may actually signal the opposite. It likely means you’re only converting customers who are already highly predisposed to subscription, the ones who really want it.
A healthier system is one where a high percentage of retail customers are encouraged to try membership. Some will stay, some will churn, but much of that churn is simply trial churn. And that’s a good thing.
If churn isn’t the primary signal, what is? Two things matter more: conversion into subscription and the strength of your value proposition. How many retail customers are you getting to try membership, and how compelling is the experience once they’re in? The stronger the value proposition, the lower your controllable churn will be, not because fewer people try, but because more people choose to stay.
Part of the issue is how we see the business. We have incredible visibility into members and almost none into retail. Member data acts like a spotlight—it shows us everything. Retail customers, on the other hand, operate mostly in the dark. So when someone cancels, it feels like they’ve disappeared. But they haven’t. They’ve just stepped out of the light.
As tools like LPR become more widely used, not just for access control, but for understanding behavior, we’ll start to see a more complete picture of the customer journey. And when we do, I think we’ll realize that many “lost” customers were never lost at all. In fact, we may find that their behavior actually improves.
This is where a new metric becomes important: Retail Frequency.
More specifically, we would then see Pre-Trial Retail Frequency and Post-Trial Retail Frequency. If we can track how often a customer visits before trying membership, and then how often they return after canceling, we can begin to understand the real impact of that trial. My hypothesis is that for many customers, retail frequency actually increases slightly after experiencing membership.
If that’s true, it changes how we think about churn entirely.
Because if customers are coming back and engaging more frequently than before, then what we’re calling churn isn’t simply loss—it’s behavior change.
If this framing is right, then trial churn along with retail frequency should become core KPIs. Not something to fear, but something to understand. How many customers are trying subscription? How many are staying? And for those who return to retail, what happens next?
This gives us a much more complete view of customer behavior than churn alone.
At the end of the day, this isn’t about churn—it’s about profit. If customers are moving between retail and subscription, trying different formats, and continuing to engage with your business, that’s not a problem. That’s a system working. The goal isn’t to eliminate churn. It’s to understand it.
And in many cases, what we’re calling churn isn’t loss at all.
It’s just trial.