BookingKoala vs CleaningMetrics
Built for 27 industries, vs built for yours.
BookingKoala is a capable booking platform that serves everyone from cleaning companies to barbers and tutors. Recurring residential cleaning has its own numbers: true profit after cleaner labor, churn, lifetime value, per-job payouts. This is an honest look at what changes when the platform is built around exactly one business, yours.
Why does serving 27 industries eventually show?
A platform built for every appointment business has to stay general. Bookings, forms, schedules, and coupons work the same whether you cut hair or clean houses, so that is where the product invests. The numbers that decide whether a cleaning business is actually working (profit after cleaner labor and processing fees, churn on your recurring roster, what a weekly client is worth over two years) are specific to this industry, and a horizontal platform reports around them: revenue, payments made, cancellations logged.
CleaningMetrics only has to be right about one business. The recurring client is the unit of everything: profit is computed per booking net of labor and Stripe fees, churn and lifetime value are live instead of assembled, cleaners are paid per job through Stripe Connect the moment work completes, and the AI analyst answers questions in the language of cleaning, not of appointments.
BookingKoala vs CleaningMetrics, line by line.
| What you are tracking | BookingKoala | CleaningMetrics |
|---|---|---|
| Built for | Any appointment business: cleaning, pet grooming, barbers, tutors, 27+ industries | Recurring residential cleaning, from the ground up |
| True profit (after labor AND processing fees) | Revenue and provider-payment reports; no profit or job costing net of labor and fees | Live on every booking, net of cleaner labor AND Stripe fees |
| Paying your cleaners | Payroll auto-calculated per job; you trigger pay runs that push funds to providers' Stripe or PayPal accounts | Stripe Connect: per-job payout calculated and sent to each cleaner |
| Churn + retention | Cancellation-reason reports and average revenue per customer; no churn rate tracking | Tracked monthly with at-risk client alerts |
| Client lifetime value | Not offered as a metric | Live LTV per client, on the customer profile |
| Hiring pipeline | Hiring module (forms, quizzes, contracts); full onboarding on the $197 Premium plan | One 6-step pipeline from application to hired, included in Pro |
| Built-in AI | None | AI analyst trained on your cleaning numbers: profit, churn, LTV, per-cleaner |
| Online booking | Customizable instant-quote forms with zip-based pricing; multi-step forms on Premium only | Address lookup auto-fills beds/baths/sqft + shows an instant price |
| Customer app / portal | Web account only; its customer app has been listed as coming soon since 2022 | Installable, branded customer app (PWA) |
| Cleaner mobile app | iOS and Android provider app with GPS clock in/out | iOS and Android cleaner app, included on every plan |
| Pricing model | $27 / $57 / $197 per month and up to $597; price scales with providers, storage, and marketing contact count | Flat $79 / $179, every cleaning feature included, any team size |
| Migration | Self-serve import tool; done-for-you setup referred to a paid third party | Direct CSV import from BookingKoala, running in under an hour |
Frequently asked questions
What is BookingKoala, and who is it actually built for?
BookingKoala starts at $27 a month. Isn't that cheaper?
What does CleaningMetrics track that BookingKoala doesn't?
How is paying cleaners different between the two?
Can I move my data from BookingKoala to CleaningMetrics?
Comparing other tools? See ConvertLabs vs CleaningMetrics, Jobber vs CleaningMetrics, Housecall Pro vs CleaningMetrics or Spreadsheets vs CleaningMetrics.
A platform that speaks recurring cleaning.
Booking, scheduling, instant cleaner payouts, true profit, retention, hiring, and an AI analyst: all from the same data, all built for cleaning. Join the waitlist and we will let you know the moment your founding member spot is ready.