Determining the right price for residential window cleaning is crucial for maintaining profitability. Current industry rates range from $150 to $300 per home, depending on factors like window size, accessibility, and glass type. Utilizing AI-driven tools and real-time data can help ensure accurate pricing and maximize margins.
• Windows are one of the last tasks before project turnover, so overruns can erase earlier gains.
• Streak-free panes are highly visible; quality issues can delay final payment.
• Repeat cleaning agreements create predictable cash flow—if rates are accurate from the start.
• Window size and pane count: more glass equals more labor minutes per opening.
• Accessibility: second-story ladders, roof pitches, or tight landscaping add setup time.
• Soil level: post-construction debris requires scraping, solvents, and extra passes.
• Glass specification: low-E or tempered panes need gentler solutions and specialized squeegees.
• Frequency: one-off cleans demand higher mobilization costs than quarterly contracts.
1. Upload PDFs or voice-command the address into CountBricks.
2. Our computer vision counts every window and tags dimensions automatically.
3. AI assigns difficulty factors based on elevation markers and surrounds.
4. Review in real time and approve with a single tap for instant quantity export.
Step 1: Establish Production Rate
Performance data shows an average technician cleans 150 square feet of glass per hour on ground-level windows and 100 square feet on elevations requiring ladders.
Step 2: Calculate Labor Cost
Multiply total glass area by the applicable production rate to get labor hours. Apply loaded labor cost (wage, payroll tax, insurance).
Step 3: Add Materials and Consumables
• Biodegradable soap per gallon
• Replacement rubber blades
• Scrapers and microfiber towels
Material pricing is refreshed hourly so you never under-charge.
Step 4: Overhead and Profit
Industry benchmarks recommend 10-15% for overhead and 15-25% for net profit on residential window cleaning.
Step 5: Apply Difficulty Coefficients
• 1.0 coefficient: single-story ranch, minimal debris
• 1.2 coefficient: two-story home with shrubs obstructing access
• 1.5 coefficient: custom home with third-story turret and post-construction grime
The coefficient multiplies the subtotal, ensuring the added risk is compensated.
1. 450 sq ft ground-level glass ÷ 150 = 3 labor hours at $32.50 = $97.50
2. Materials estimated at $12.35
3. Subtotal = $109.85
4. Overhead 12% = $13.18
5. Profit 20% = $24.20
6. Difficulty 1.0 (simple site) so final price = $147.23 → round to $149.00
• Interior/exterior glass bundle at a 10% discount increases ticket value
• Add screen cleaning for $2.50 per screen—easy labor add-on while windows dry
• Offer quarterly maintenance contracts; schedules recurring invoices automatically
Automatically formats your numbers into a branded proposal with scope, exclusions, and payment schedule.
• Forgetting to price ladder safety gear replacement costs
• Ignoring travel time between scattered elevations on custom builds
• Using outdated chemical prices—solved with real-time feed
• Batch nearby homes the same day to cut mobilization costs
• Use purified water pole systems above 25 ft to finish faster and safer
• Store production rates in your profile for quick recall
• Snap pre-clean photos to limit callbacks
• Offer rain-day touch-ups within 48 hours to boost referrals
Ready to price your next project? Log in to CountBricks or book a free consultation. Our AI will crunch the numbers while you focus on delivering crystal-clear results.
When Evergreen Homes broke ground on a 14-lot subdivision, they invited us to streamline specialty trades. Window cleaning was a late-phase pain point—multiple elevations, construction debris, and a strict handover deadline.
• 14 single-family homes, 2,800 sq ft average
• Mixed two- and three-story designs with 6/12 roof pitches
• 9,600 total square feet of glass
1. Our team uploaded the master plan set; AI pane counting produced quantities in under four minutes.
2. Voice notes captured field realities—muddy access roads and final paint touch-ups—adding a 1.2 difficulty coefficient.
3. Live material feed flagged a 7% increase in eco-friendly cleaner costs, automatically updating the estimate before submission.
4. The developer chose a quarterly cleaning contract. Scheduled invoices and synced reminders with their accounting software.
• Bid turnaround dropped from two days to forty minutes
• Gross margin improved from 17% to 24% thanks to accurate overhead allocation
• Zero schedule delays—real-time voice updates kept crews aligned with the punch-list calendar
• Centralizing labor rates and material data prevents underpricing on repeat models
• Difficulty coefficients protect profit when site conditions vary lot-to-lot
• Automated, branded invoices reinforce professionalism and speed up payment cycles
Whether you manage a single custom build or an entire subdivision, equip yourself with the data and automation to answer every homeowner’s question: “How much will that cost?” Start optimizing your window cleaning rates today.
