Cleaning Customer Retention Benchmarks
The first fact-checked benchmark resource for cleaning customer retention. Every figure is sourced, dated, qualified, and independently verified.
⚠️ Important: Churn definitions vary across sources
The benchmarks below use different churn definitions across sources. These metrics are not directly comparable. A monthly churn rate from MaidCentral cannot be compared to an annual churn rate from BusinessDojo. Read the definitions section before using any data point.
Key numbers
- Residential retention: 65-75%
- Commercial retention: 80-90%
- Monthly churn (avg): 5.68% (April 2026)
- Average revenue per job: $214.95
- Industry profit margin: 11.9%
- U.S. residential cleaning businesses: 356,516
Verification status
43 substantive claims audited. 24 verified (56%), 3 partially supported (7%), 7 misinterpreted (16%), 9 calculation errors corrected (21%). No unsupported claims remain.
See full audit →Retention benchmarks by segment
| Segment | Rate | Source | Methodology |
|---|---|---|---|
| Residential retention | 65-75% | BusinessDojo | Editorial benchmark, not primary research |
| Commercial retention | 80-90% | BusinessDojo | Editorial benchmark, not primary research |
| Repeat booking rate (recurring) | 70-80% | BusinessDojo | Editorial benchmark |
| Repeat booking rate (residential) | 60-70% | BusinessDojo | Editorial benchmark |
| Monthly recurring churn (avg) | 5.68% (April 2026) | MaidCentral PCI Report | 150,000+ monthly house cleanings (software users) |
| Average contract retention (commercial) | 24-36 months | Swept Calculator | Calculator-stated industry average |
Cleaning industry market data
| Metric | Value | Source |
|---|---|---|
| Global cleaning services market (2026) | $481.75 billion | Fortune Business Insights via Service Autopilot |
| Global cleaning services market (2034) | $859.20 billion | Fortune Business Insights via Service Autopilot |
| North America market share | 37.5% (2025) | CMM |
| U.S. janitorial services revenue | $112.0 billion (2026) | IBISWorld / CMM |
| U.S. janitorial services employment | 2 million workers | IBISWorld / CMM |
| U.S. janitorial services profit margin | 11.9% | IBISWorld / CMM |
| U.S. residential cleaning businesses | 356,516 (2024) | IBISWorld |
| U.S. cleaning services market growth | $36.8B (2024-2028) | Technavio / CMM |
| Average revenue per job | $214.95 (April 2026) | MaidCentral PCI Report |
| Direct payroll to revenue | 41.57% (April 2026) | MaidCentral PCI Report |
How monthly churn compounds over 12 months
Monthly churn compounds: each month, the churn rate applies to the remaining customer base. The customer base decays exponentially, not linearly.
Formula: Customers retained after N months = Initial customers × (1 - monthly churn rate)N
At 5% monthly churn (MaidCentral avg)
After 12 months:
- Customers retained: 54 per 100
- Customers lost: 46 per 100
- Compounded annual churn: ~51%
Churn is front-loaded: more customers leave in early months when the base is larger.
At 4% monthly churn
After 12 months:
- Customers retained: 61 per 100
- Customers lost: 39 per 100
- Compounded annual churn: ~39%
Reducing churn from 5% to 4% retains 7 additional customers per 100 over 12 months.
MaidCentral's 5.68% monthly churn vs. BusinessDojo's 20-30% annual churn
MaidCentral's 5.68% monthly churn compounds to approximately 51% annually — far higher than BusinessDojo's 20-30% annual benchmark. This does not mean one source is wrong. They measure different populations, timeframes, and definitions.
MaidCentral measures monthly recurring customer churn among software users (residential focus). BusinessDojo uses annual customer loss as a percentage of starting customers (editorial observation).
What cleaning businesses are worried about
| Concern | % Citing | Source |
|---|---|---|
| Employee recruitment/retention | 63% | Aspire 2025 survey (1,000+ companies) |
| Customer retention | 58% | Aspire 2025 survey — ranks second among industry concerns |
Source quality assessment
| Source | Type | Evidence Strength | Primary Limitation |
|---|---|---|---|
| IBISWorld | Industry research firm | Strong — Recognized firm, primary data | Paywalled; definitions may not match "cleaning business" colloquially |
| MaidCentral PCI Report | Vendor dataset | Moderate — 150K+/month sample | Selection bias toward software-adopting businesses |
| BusinessDojo | Editorial benchmark | Weak — Not primary research | Based on industry observation; no methodology disclosed |
| Swept Calculator | Vendor tool benchmark | Weak — "Industry average" stated in UI | Calculator assumptions, not research |
| Aspire | Vendor survey | Moderate — 1,000+ companies surveyed | Software company; commercial cleaning focus |
| Churnkey | Vendor dataset (SaaS) | Moderate — 15M subscriptions | SaaS, not cleaning-industry data |
| Service Autopilot | Market research compilation | Moderate — Compiles FBI, BLS, CMM | Not primary research; cites other sources |
| Technavio (via CMM) | Market research firm | Moderate — Recognized firm | Full report paywalled; CMM summary only |
Fact-check methodology
All 43 substantive claims in this resource were independently audited. Corrections applied:
- MaidCentral dates corrected from "July 2026" to "April 2026" (July 2026 data noted separately)
- Commercial retention rate corrected from 70-80% to 80-90%
- Revenue impact example removed (insufficient evidence for revenue calculation)
- Customer decay models added (mathematically correct, using compound decay)
- Churn definition disclaimer added
- MaidCentral vs. BusinessDojo churn discrepancy explicitly addressed
Verified sources
- MaidCentral PCI Report — accessed September 18, 2026
- BusinessDojo — accessed September 18, 2026
- IBISWorld via CMM — accessed September 18, 2026
- IBISWorld Residential — accessed September 18, 2026
- Service Autopilot — accessed September 18, 2026
- Swept Calculator — accessed September 18, 2026
- Churnkey — accessed September 18, 2026
- Aspire — accessed September 18, 2026
- Technavio via CMM — accessed September 18, 2026
What these benchmarks should and should not be used for
Use these benchmarks as: Directional indicators of industry trends, not precise targets. Comparative context for evaluating your own retention metrics. Conversation starters for discussing retention strategy.
Do NOT use these benchmarks as: Guaranteed outcomes for any specific business. Direct comparisons between different measurement methodologies. The sole basis for business decisions. Revenue impact calculations without business-specific revenue data.
Related UGNARA resources
Related calculators
Customer Churn Calculator
Calculate how customer churn compounds over 12 months. Based on MaidCentral April 2026 data.
Customer Lifetime Value Calculator
Calculate customer LTV and see how retention rate, average ticket, and visit frequency affect lifetime value.