How to price residential cleaning jobs?
Short answerPrice residential cleaning with a frequency ladder: a higher first-clean price that resets the home, then lower recurring prices for weekly, every-other-week and monthly visits, each set from the hours that frequency really takes. Keep the discount tied to time saved, not to a feeling.
The explanation
The ladder works because dirt builds between visits. A weekly home is closer to baseline, so the visit takes fewer hours than a monthly one. Record your actual times by frequency and price from those records.
The first clean is its own product. It covers buildup you will not see again if the customer keeps the schedule. Quote it separately and say plainly that the recurring rate starts at the second visit.
Add rules for the schedule: how much notice for skips, what happens if the home is not accessible, and when a price review occurs. Offer a small set of add-ons and keep them off the base price. Review your times after the first four visits at each home and adjust. Revisit the ladder each year using your own time log.
In residential cleaning (maid service)
Recurring cleaning depends on the same people returning to the same home. Price so the crew can stay stable, because turnover costs more than a small discount. All residential cleaning (maid service) scheduling questions.
How Apex does it
Rolling out
The screen and the rules are built and tested. Saving real customer data is not connected yet. Status as of 2026-10-07; the badge shows the least-built feature involved.
Apex's recurring service plans and pause or skip rules are being built, and the service menu holds each visit type with a duration and price. Requests stay pending until confirmed.
- RC01Recurring service plans (weekly/monthly)(Rolling out)
- RC04Pause / skip / vacation hold(Rolling out)
- BK08Service menu with durations and prices(Built)
Apex Flow Scheduler is in early access. See how we label status.
Where this question comes from: owners type it, or a close variant, into search boxes. It was returned by public search suggestions (Google, Bing or DuckDuckGo) when we collected them on 2026-10-06. We do not have search volumes.