Home Cleaning Quote Calculator

For residential cleaning companies losing the first conversation to price shoppers, where every enquiry opens with "how much for a three-bed" and ends with a number given blind over the phone.

• Four-step calculator covering service type, home size, current condition, and visit frequency
• Separate bedroom and bathroom sliders so the estimate moves with the actual home rather than a size bracket
• Condition step letting the customer say what the team will walk into, from well maintained to heavy detail
• Four outputs giving a per-visit price range, crew size, expected visit length, and total cleaner hours
• No contact details to see the price with the estimate revealed before any form appears
• Quote request taking name, email, phone, postal code, and preferred date, with the estimate attached
• Room-by-room scope section setting out what a kitchen, bathroom, and living space clean actually includes
• Four-question FAQ covering supplies, changing scope, and whether the range is binding

Showing cleaner hours alongside the price is the quietly useful part. A customer who can see that two cleaners for two hours is four hours of work has been given a reason for the number rather than just the number.

Sample pricing, policies, and proof are placeholders. The ConvertSite AI assistant makes it yours in minutes, and you can connect Claude or ChatGPT if you would rather work with a model you already use.

1. Set your pricing model Define how service type, bedrooms, bathrooms, condition, and frequency combine into the per-visit low and high figures
2. Set the crew and time rules Define the team size, visit length, and cleaner hours each combination produces
3. Rewrite the FAQ answers Two of them are currently written as notes to you rather than answers to a customer, so they need replacing before anything goes live
4. Adjust the sliders Change the bedroom and bathroom minimums and maximums to match the homes you service
5. Set your frequency pricing Decide how much weekly, fortnightly, and monthly care reduce the per-visit price against a one-time clean
6. Format the outputs The sample shows unrounded figures and a decimal visit time, which reads as a calculation rather than a quote
7. Check the postal code handling Decide whether an out-of-area code is rejected, warned, or accepted anyway
8. Add real proof Replace the sample testimonial with a verified customer quote, name, neighborhood, and the service booked