5 KPI & Metrics for a Wash and Fold Service: What Numbers Matter Most for Success?
Wash And Fold Service
You're running a wash-and-fold and need clear metrics: customer churn rate; revenue per weekly subscription (ARPU); contribution margin per load; on-time delivery rate; average order weight per pickup. Track those five weekly for ops and monthly for finances to spot profitability and cash risks.
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KPI Metric
Description
1
Customer Churn Rate
Monthly percent of subscribers canceling; indicates retention and revenue risk.
2
ARPU (weekly)
Average weekly revenue per active subscription, used to inform pricing and revenue forecasts.
3
Contribution Margin/Load
Revenue minus direct load costs, utilities, and labor to assess profitability per load.
4
On-time Delivery %
Percent of pickups and deliveries completed on schedule, impacting satisfaction and churn risk.
5
Average Order Weight
Average pounds or kilograms per pickup to size capacity and plan labor.
Key Takeaways
Track monthly churn to forecast subscription revenue and runway
Measure weekly ARPU to set pricing and capacity
Calculate contribution margin per load after all variable costs
Monitor on-time delivery rate to reduce churn risk
What Are The 5 Must-Track KPIs?
You're running a wash and fold service - track these five KPIs: customer churn rate, revenue per weekly subscription (ARPU), contribution margin per load, on-time delivery rate, and average order weight per pickup to catch profit and ops issues early. Read revenue context and owner earnings How Much Does a Wash and Fold Service Business Owner Earn?. One clear metric often saves you months of guesswork.
Five Must-Track KPIs
Measure monthly customer churn rate
Calculate weekly ARPU laundry
Compute contribution margin per load
Track on-time delivery rate and average order weight
What Numbers Tell You If You're Actually Making Money?
These five numbers tell if your wash and fold business is actually profitable; read the quick checklist below. They are the core wash and fold KPIs: gross margin after COGS and processing materials, EBITDA versus fixed monthly burn and facility rent, net cash position versus minimum cash requirement, contribution margin per load after direct labor and utilities, and breakeven year comparison to reached breakeven revenue level. See practical setup steps at How to Start a Profitable Wash and Fold Service? and track these metrics weekly for subscription laundry KPIs to spot trouble early.
Give a header name
Gross margin after COGS
EBITDA vs fixed monthly burn & rent
Net cash vs minimum cash requirement
Contribution margin per load (labor + utilities)
Which KPI Predicts Cash Flow Problems Early?
Net cash runway vs minimum cash threshold is the clearest early warning for cash flow pain, and you should watch it every month so you can act fast - read operational cost drivers in parallel with subscription trends and receipts timing. Track monthly changes in subscription revenue against fixed expenses, monitor the receipts timing gap between pickup collections and processing receipts, and flag any rise in on-demand refunds or specialty treatment credits. Also watch accelerating customer churn that slices predictable weekly subscription income; it changes runway math immediately. For startup cost context, see How Much Does It Cost to Start a Wash and Fold Service?
Early cash-flow warning KPIs
Net cash runway vs minimum cash threshold
Monthly change in subscription revenue vs fixed expenses
Receipts timing gap: pickups collected vs processing receipts
Rising refunds/credits and accelerating subscription churn
Which KPI Shows If Marketing Is Paying Off?
Track partner-driven subscription growth. Watch new paid subscriptions per month from partnership channels, and compare customer acquisition cost to the first 12 weeks of ARPU to see if marketing pays back. Also monitor conversion rate from retail referrals, share of revenue from partner referrals, and zip-code revenue growth for studio partnerships - and check costs against startup assumptions in How Much Does It Cost to Start a Wash and Fold Service?
Marketing-to-revenue KPIs
New paid subscriptions per month from partners
Customer acquisition cost vs first 12 weeks ARPU
Conversion rate from retail referrals
Share of revenue from partner-driven referrals
What KPI Do Most New Owners Ignore Until It's Too Late?
Contribution margin per load after all variable costs is the single metric new owners often ignore, and ignoring it quickly hides real losses-keep reading to spot the others. Watch load-level yield losses from damaged or misprocessed garments, RFID bag replacement rate and consumable costs, per-van utilization versus fuel expense, and a growing deferred maintenance backlog. These five wash and fold KPIs reveal margin leaks fast and connect directly to subscription laundry KPIs and laundromat performance metrics-see How Profitable is a Wash and Fold Service? for context.
Hidden KPIs that kill margins
Contribution margin per load-track revenue minus processing materials and direct labor
Load-level yield loss-flag damaged/misprocessed garments per batch
Per-van utilization-compare stops to fuel and delivery variable expense
Deferred maintenance backlog-grows into capex-like repair risk
What Are 5 Core KPIs Should Track?
KPI 1: Customer Churn Rate
Definition
Customer Churn Rate measures the monthly percentage of subscribers who cancel. It shows how fast subscription laundry revenue is degrading and helps forecast cash runway and recurring revenue stability.
Advantages
Detects revenue leakage early so you can act.
Shows which acquisition channels deliver long-term value.
Drives retention strategies that improve ARPU and CLTV.
Disadvantages
Can mask seasonal variations if not cohort-segmented.
High short-term promotions can temporarily lower churn, fooling analysis.
Industry Benchmarks
Benchmarking should compare monthly churn by segment: partner-referred cohorts, direct sign-ups, and on-demand users. Compare retention at 3 months and 12 months to judge long-term fit and partnership quality.
How To Improve
Implement QA checks on every load and measure refunds.
Run targeted onboarding and 2-week follow-ups for new subscribers.
Segregate partner cohorts and negotiate SLAs with studios.
How To Calculate
Customer Churn Rate = (Subscribers Lost During Month ÷ Subscribers at Start of Month) × 100
Example of Calculation
Customer Churn Rate = (50 ÷ 1,000) × 100 = 5%
Tips and Trics
Segment churn by acquisition source every month.
Track 3‑ and 12‑month cohort retention to spot onboarding gaps.
Flag spikes in churn after service issues or price changes.
Run win‑back campaigns within 30 days-defintely track lift.
KPI 2: Revenue per Weekly Subscription (ARPU)
Definition
Revenue per Weekly Subscription (ARPU) measures the average weekly revenue you earn from each active subscription tier, including mandatory upcharges for specialty treatments. It shows whether pricing, upsells, and channel mix generate enough predictable revenue to cover fixed costs and grow.
Advantages
Links pricing to cash predictability and runway
Highlights profitable tiers and specialty-treatment lift
Enables channel-level marketing ROI comparisons
Disadvantages
Can mask loss-making customers if averaged
Ignores timing differences in billing vs. cost cash flows
Requires clean attribution of specialty charges to be useful
Industry Benchmarks
Benchmarks vary by market and service model; compare ARPU by tier, by acquisition channel, and to your per-load contribution targets. Use cohort ARPU at 3 months and 12 months to spot drop-offs and validate lifetime value assumptions.
How To Improve
Upsell specialty treatments as bundled weekly add-ons
Price tiers to reflect observed average order weight
Push higher-ARPU channels with better conversion data
How To Calculate
Revenue per Weekly Subscription (ARPU) = (Total subscription revenue collected in period + mandatory specialty upcharges) / Number of active weekly subscriptions during period
Example of Calculation
Revenue per Weekly Subscription (ARPU) = ($8,600 total weekly subscription revenue + $400 mandatory specialty upcharges) / 500 active weekly subscriptions = $18.00 per week
Tips and Trics
Track ARPU weekly and roll up monthly to smooth seasonality
Segment ARPU by acquisition source to compute CAC payback
Multiply weekly ARPU by 4.33 to estimate monthly recurring revenue
Flag cohorts where ARPU falls >10% vs initial month for churn risk; defintely act fast
KPI 3: Contribution Margin per Load
Definition
Contribution Margin per Load measures how much money each processed laundry load contributes toward fixed costs and profit after paying direct, variable processing costs. It shows whether your pricing and operations cover consumables, direct labor, and utilities for each load.
Advantages
Shows which loads are profitable and which lose money
Guides pricing, tier design, and breakeven targets
Highlights operational gains from efficiency improvements
Disadvantages
Ignores fixed costs like rent and salaried admin
Requires accurate load-level cost tracking to be useful
Can mislead if specialty treatments or refunds are misallocated
Industry Benchmarks
Benchmarks vary by model: pickup-and-delivery subscription laundry and manual laundromats differ. Focus on tracking load-level contribution trends rather than chasing a single industry number. Compare segment margins for standard wash, specialty treatments, and on-demand orders to spot weak spots.
How To Improve
Reduce consumable waste and negotiate bulk material prices
Increase load throughput with batch routing and staffing S-curve
Price specialty treatments to cover incremental processing costs
How To Calculate
Contribution Margin per Load = Revenue per Load - (Processing materials + Direct processing labor + Utilities + Consumables)
Track contribution margin weekly by load type and route
Tag specialty treatments and refunds so costs stay accurate
Set a minimum target margin and flag loads below it for review
Run A/B pricing tests in specific zip codes to protect ARPU
KPI 4: On-time Delivery Rate
Definition
On-time Delivery Rate measures the percent of pickups and deliveries completed on the scheduled day. It shows service reliability and directly links to customer satisfaction and subscription churn risk.
Predicts revenue: stable deliveries make weekly ARPU reliable
Drives operational fixes: flags routing or staffing issues fast
Disadvantages
Can mask load quality issues if only timeliness is tracked
Depends on accurate schedules; bad data inflates the metric
Improvements may raise costs (more drivers, tighter windows)
Industry Benchmarks
Operators commonly target an on-time delivery rate above 95% for subscription laundry services; rates under 90% correlate with rising churn. Tracking this against per-van utilization and partner expectations (for example, fitness studio partners) clarifies whether delays are capacity or process issues.
How To Improve
Fix schedules: use tight pickup windows and confirm via SMS
Optimize routes: deploy routing software and monitor per-van utilization
Protect partners: set SLAs for partner zones and dedicate runs
How To Calculate
On-time Delivery Rate = (Number of on-time pickups and deliveries / Total scheduled pickups and deliveries) × 100%
Measure daily and roll up weekly to spot trends quickly
Segment by route, van, and partner to find root causes
Link missed deliveries to churn within 30 days for causal analysis
Set a 95%+ operating target and flag vans below 90%
KPI 5: Average Order Weight per Pickup
Definition
Average Order Weight per Pickup measures the average pounds (or kg) of laundry collected each pickup. It shows how much load your plant, staff, and fleet must handle and links directly to throughput, labor need, and pricing decisions.
Advantages
Sizes processing capacity to avoid bottlenecks
Aligns subscription tiers to real cost per pickup
Improves fleet planning and reduces per-van idle miles
Disadvantages
Can hide mix-shift toward heavy specialty treatments
Varies by season and cohort, so noisy weekly
Depends on accurate weight capture-scale errors skew results
Industry Benchmarks
Benchmarks differ by model: pure pickup-subscription services often report lower per-pickup weights than bulk commercial accounts. Use your own historical cohorts and local competitors as the benchmark; the key is tracking trends rather than a single industry number.
How To Improve
Price by weight tiers to nudge average toward profitable bands
Offer pre-paid bag sizes to standardize pickup weights
Flag and audit heavy pickups for specialty-treatment cost recovery
How To Calculate
Average Order Weight per Pickup = Total weight collected (lbs) ÷ Number of pickups
Example of Calculation
Average Order Weight per Pickup = 1,200 lbs ÷ 100 pickups = 12 lbs per pickup
Tips and Trics
Weigh every bag at pickup with calibrated scales
Segment weights by cohort and partner channel weekly
Map weight to labor minutes to set target contribution margins
Watch for rising specialty-treatment share-it increases per-pickup cost
The essential KPIs are customer churn rate, weekly ARPU, contribution margin per load, on-time delivery rate, and average order weight per pickup Track these five metrics weekly and monthly to see early signs of profitability and operational stress Use revenue milestones-REVENUE 1Y and REVENUE 2Y-to benchmark growth and EBITDA metrics to assess profitability
Review operational KPIs weekly and financial KPIs monthly for timely action Weekly tracking catches delivery, order weight, and churn trends while monthly reviews compare ARPU and contribution margin to REVENUE 1Y and EBITDA 1Y figures Combine these cadences to forecast when minimum cash could be reached and to adjust spending before the Minimum Cash month arrives
Align marketing reporting to monthly subscription cohorts and quarterly partnership reviews Measure new paid subscriptions each month and compare against REVENUE 1Y and REVENUE 2Y targets to validate spend Evaluate partner referral performance monthly and optimize when conversion or ARPU fails to progress toward breakeven in Year 2
Yes, track specialty treatments as a distinct revenue stream and calculate contribution margin per treatment Monitor specialty treatment revenue growth versus projected forecasts and its impact on overall ARPU Use the Specialty Treatments forecast figures to ensure upsell economics cover additional processing and consumable costs before scaling
Use the minimum cash figure and IRR to set financial guardrails for runway management The Minimum Cash value should be your operating floor and IRR informs return expectations compare planned spend and capex to avoid breaching the minimum cash threshold Use these figures when forecasting scenarios and fundraising timing