Jobber vs CleaningMetrics: Why Recurring Cleaning Businesses Switch

What is Jobber, and who is it actually built for?

Jobber is a field-service platform built for trades businesses, originally for landscaping, HVAC, and plumbing. It was later extended with cleaning-specific workflows. The core data model still treats every visit as a one-time job. Recurring residential cleaning is a footnote in Jobber's roadmap, not its primary use case.

In practice, this shows up everywhere a cleaning company owner looks. Recurring appointments fit awkwardly into a one-time job framework. There is no native churn tracking, because churn does not exist for a plumber who fixes a leak once. Cleaner payouts via Stripe Connect, where 1099 contractors get paid the moment they complete a job, are not part of the product. True profit calculation that subtracts labor, processing fees, and overhead from revenue is missing too.

What is CleaningMetrics, and how is it different?

CleaningMetrics is the complete operating system for recurring residential cleaning businesses. Booking, scheduling, cleaner payouts via Stripe Connect, true profit tracking, retention intelligence, hiring pipeline, customer and cleaner mobile portals, and a built-in AI business analyst. Every module is designed around recurring service from day one, not bolted on after the fact.

CleaningMetrics was built by a cleaning company owner who got tired of running his recurring residential business on five tools that never agreed on the numbers. Every feature ships because a cleaning owner asked for it. The product is shaped by cleaning from day one. It does not pretend to also serve plumbers or landscapers, and it does not ask cleaning owners to bend their workflow around a generic template.

Jobber vs CleaningMetrics: side-by-side comparison

Here is what each platform does, row by row, for a recurring residential cleaning business. CleaningMetrics replaces the entire Jobber surface, plus what owners typically duct-tape on top.

Should a recurring cleaning business use Jobber or CleaningMetrics?

If your business is recurring residential cleaning, CleaningMetrics fits the way your business actually works. Jobber treats every clean as a one-time job and asks owners to stitch on the parts that matter most: real profit, churn, cleaner payouts, and hiring. CleaningMetrics ships every one of those as a core module, not a workaround.

Most Jobber-using owners we have talked to also run a stack of spreadsheets alongside, just to see what they actually kept each month. The whole point of an operating system built around how a recurring cleaning business actually works is that none of that stitching is necessary.

What about HouseCall Pro, BookingKoala, and ConvertLabs?

HouseCall Pro and BookingKoala are in the same category as Jobber: generic platforms adapted for cleaning. ConvertLabs is closer to a pure booking tool. CleaningMetrics replaces all four, with one platform and one source of truth. Bring your data over via CSV. Most owners are running in under an hour.

The migration is the same shape from all four sources. Export, import, connect Stripe, done. From there, per-job cost math calculates live.

How do I migrate from Jobber to CleaningMetrics?

Export your client list and recurring schedules from Jobber as a CSV. Import them into CleaningMetrics during onboarding. Connect Stripe for client payments and Stripe Connect for cleaner payouts. Most cleaning businesses are fully running on CleaningMetrics in under an hour. Founding members get white-glove migration help.

If you would rather not handle the export and import yourself, founding member onboarding includes a session where the CleaningMetrics team does the migration with you.

The short version

Jobber is a generic field-service platform that learned to do cleaning. CleaningMetrics is the operating system a cleaning company owner built for himself first and his peers second. If your business is recurring residential cleaning, you do not need both. You need the one built around the way your business actually works. That is CleaningMetrics.