The Drip

Car Wash Economics: How Top Operators Think About Lifetime Value

Written by Braxton McKee | Nov 18, 2025 4:38:45 PM

Stop Measuring Success by the Month

Most operators measure performance like they always have: month by month. It’s familiar, it’s simple, and it’s what POS systems were built for.

But here’s the trap - monthly revenue tells you nothing about the durability of that revenue. You can have a record month built on customers who won’t be here next month.

Lifetime Value (LTV) flips the lens. Rather than obsessing over this month’s deposits, top operators look at how much value a member generates across their entire relationship - and what behaviors extend or shrink that relationship.

Operators who make this shift stop chasing spikes and start building engines.

Why LTV Outperforms Revenue as a Decision Tool

Revenue is a snapshot.
LTV is a storyline.

Two locations can each report $350K in Q1 revenue. On the surface, identical performance. But under the hood:

  • One location retains 84% of members month to month

  • The other churns through 40% of them

  • One generates frequent visits, bundle upgrades, and steady referrals

  • The other pulls in discount-driven signups that disappear the second the deal ends

Same revenue. Completely different business.

LTV highlights this gap by revealing:

  • Which offers create loyal customers

  • Which acquisition channels produce stickier behavior

  • Which membership tiers generate long-term margin

  • Which sites have healthy compounding retention - and which are just good at sign-up events

This is why investors, multi-site operators, and the most sophisticated single-site operators all align on LTV: it predicts the future, not just reports the past.

How to Calculate It (Simply)

You don’t need a data science team. Just the fundamentals:

LTV = Average Monthly Spend × Average Retention Months × Average Referral Impact

  • Average Monthly Spend
    Package mix, add-ons, price increases - the basics.

  • Average Retention Months
    This is the variable most operators never actually know.
    Rinsed calculates real retention curves automatically, revealing the true lifetime of each member type.

  • Average Referral Impact
    How much extra value a member generates by bringing friends, family, or co-workers.
    With Rinsed attribution, you can finally quantify this - not guess.

Once you know these numbers, decisions stop being gut-driven and start being math-driven.

What to Do With LTV Insights

This is where operators shift from marketing outputs to behavior engineering.

1. Reward high-LTV customers with VIP treatment

Give your best members early access to perks, exclusive upsells, or priority lanes.
They’re already sticky - small nudges make them ambassadors.

2. Put ad dollars behind sources that produce long-term customers

Cheap leads aren’t cheap if they churn in 45 days.
LTV tells you which channels produce real value, not temporary volume.

3. Train teams to sell offers that extend retention, not just spike conversion

Frontline staff often chase the fastest “yes.”
The best operators coach them to sell packages with higher long-term stickiness - even if the short-term close rate dips.

4. Pressure-test pricing through an LTV lens

A $5 cheaper package that cuts retention by 20% is a margin killer.
LTV exposes these hidden economics instantly.

5. Optimize the onboarding window - where LTV is decided

First 30 days = behavior formation.
Rinsed automation lets you shape behavior early: reminders, visit nudges, upgrade prompts, and habit reinforcement.

The Bottom Line

You don’t sell car washes.
You sell behavior.

Membership isn’t valuable because it’s recurring — it’s valuable because it compounds. When you track LTV, you stop thinking like a site manager and start thinking like an economist:

  • Better pricing decisions

  • More efficient ad spend

  • Healthier membership growth

  • Stronger EBITDA, not just higher top line

Operators who think in months fight for survival.
Operators who think in lifetime value build durable, predictable businesses.