AI email marketing is overhyped at the macro level and underused at the workflow level. For a NZ cleaning company, that gap is where the actual ROI lives - and where most of our work happens.
AI email marketing that fits a cleaning company's week, not the other way around.
Our goal is to give cleaning companies a three-day weekend, so people can spend more time with their families and the people they love :)
What AI email marketing actually does
Email marketing that writes, segments, and tests itself. AI drafts on-brand sequences, splits your list by real behaviour, and runs subject-line tests automatically - so campaigns go out on schedule without someone rebuilding them from scratch every month.
- 01 AI-drafted sequences for welcome, abandoned cart, re-engagement, and post-purchase flows
- 02 List segmentation by actual behaviour, not just tags someone forgot to update
- 03 Automatic subject-line and send-time testing - keeps the winner, drops the rest
- 04 Deliverability and unsubscribe monitoring so your sender reputation stays clean
Built on: Klaviyo Mailchimp Postmark Claude Vercel
What you actually get
Every engagement is scoped and quoted up front. This is what is in the box.
- A working pilot, in productionNot a prototype on someone's laptop. The first slice of AI email marketing runs against real work within weeks.
- Your data stays yoursIt runs on your accounts and your tools. If we part ways you keep the system and everything in it.
- The workflow mapped before codeWe write down what good looks like for cleaning companies first, so nobody is guessing at handover.
- Support after it landsThe people who built it stay reachable when the business changes shape around it.
How AI email marketing compares
The two things most businesses do instead, and where each one runs out.
| Hiring for it | An off-the-shelf tool | Kiwi Dynamics | |
|---|---|---|---|
| Fit to how you work | Fits perfectly, costs a salary | You bend your process to suit the tool | Built around the workflow you already run |
| Time to something useful | Immediate, and permanent | Quick to switch on, slow to make fit | A working slice in weeks, then hardened |
| Who owns the data | You do | The vendor, on the vendor's terms | You do, in your own accounts |
| When it breaks | That person sorts it, if they are in | A support queue and a ticket number | The people who built it |
| What it costs | A salary, every year, forever | Per seat, forever, used or not | Scoped and quoted up front |
Cleaning companies run their businesses unlike anyone else.
- Cleaning businesses run on recurring contracts and one-off quotes, both of which need fast, consistent follow-up to win.
- Quote turnaround and scheduling reliability are what most decide whether a cleaning company keeps a client past the first job.
How we build AI email marketing for cleaning companies.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for a cleaning company business, so value lands before the build is finished. AI-managed email sequences.
Talk to usHow the work runs
- Find the one workflowWe look for the job costing cleaning companies the most hours or the most leads, and deliberately ignore the rest for now.
- Ship a working sliceA narrow version goes into production in weeks, against real work, so the value shows up before the build is finished.
- Prove it, then widenWe measure it against what the work cost before. If it does not pay for itself, we say so rather than scaling it.
- Harden and hand overLogging, fallbacks and a real handover, so it keeps running when we are not in the room.
The outcome for cleaning companies
Average client sees open rates lift 24% once send times and subject lines are actually tested. For cleaning companies, that almost always shows up as fewer interruptions and a calmer week, not a dashboard chart.
Not your typical AI agency.
Honest about what AI can and cannot do
Ships the one workflow that pays for itself
Hours given back, never the size of the invoice
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
FAQ
When does AI email marketing actually pay back?
Inside the first quarter, in our experience. We pick the first slice specifically because it's the highest-leverage workflow for a cleaning company - so the savings start landing before the rest of the build is finished.
Do you do hourly billing or fixed price?
Fixed price for the pilot, every time. After that it's your call - fixed price per milestone or a small monthly retainer for ongoing iteration. We don't run open-ended T&M because it disincentivises us from finishing.
Has this actually shipped for a real cleaning company?
Yes. Average client sees open rates lift 24% once send times and subject lines are actually tested. We'll share comparable engagements on the call.
Will this run on our own infrastructure?
Yes, where it makes sense. AI email marketing can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to Klaviyo, Mailchimp, Postmark, Claude, Vercel but the architecture supports your existing platform choices.
Skip the pitch.
Tell us the workflow and we'll come back with what we'd build first.
Talk to us about this
Tell us what you're trying to do and we'll reply with how we'd build it - no obligation.