By Greg Allan, tradesman and creator of Data First Coaching
Why does a repaint that looked profitable on the quote lose money on site?
A repaint can be priced correctly for paint and coats and still lose money, because the labour that actually fills the day is the prep, not the painting. Masking windows and trims, filling nail holes, sanding back old coats, scraping flaking paint on an older exterior, and priming bare timber before the first coat goes on all take real hours that rarely get a line on the quote.
On an exterior job, weather can turn a planned prep morning into two days, because the substrate has to be properly dry and sound before primer goes on, and a painter who has already locked in a fixed price has no way to recover that time. Strata and commercial jobs often carry even more hidden prep: scaffold access, defect repairs before a wall can be touched, cutting in around fittings and fixtures that a residential repaint never has.
Why does prep time disappear from the painter's own numbers?
Most painters cost a job by litres of paint and number of coats, because that is what the supplier invoice and the quote both show clearly. Prep time sits underneath that, unmeasured, so it never shows up as its own cost of sales.
At the end of the month the profit and loss shows total labour cost as one number. It does not say how many of those hours were spent sanding, masking and priming before a brush ever touched a feature wall. A painter can look at a run of paid invoices and feel like it was a good year, while the actual record of where the hours went, job by job, was never kept at all. The problem is not that the work was unprofitable. It is that nobody ever separated prep from paint time to see where the margin went.
What number actually tells a painter if prep is eating the margin?
The number that tells the truth is job efficiency: the buildable hours quoted on a job against the actual hours spent on the tools, including travel and setup, not just the time the brush or spray gun was moving. That single figure, tracked job by job rather than guessed at the end of the month, shows you where prep is quietly running over the hours it was priced for.
This is data first thinking. A painter's memory of a job, weeks later, is coloured by whether the customer was happy and the invoice got paid. The job's own numbers do not care how the customer felt. They show exactly how many hours of prep were quoted against a repaint or a strata unit, and how many were actually burned, which is the only honest place to start fixing the margin.
How can AI agents stop prep time disappearing from a painter's quotes?
An AI agent is software that does a job the way you would do it yourself, using your prices, your wording and your rules, and in this case that means holding the prep number steady from one job to the next instead of it getting lost in the rush. AI agents can record prep hours against quoted hours as the job runs, so the gap is visible before the invoice goes out, not months later.
That matters because the fix for prep eating margin is not working faster on the tools. It is catching, at the quoting stage, that the last three exterior repaints all ran over on prep because of old substrate or extra coats of primer, and pricing the next one accordingly. AI agents doing that tracking in the background mean the office work of comparing quoted hours to actual hours happens without you or your crew having to stop and do it by hand.
Should every repaint and strata job be quoted the same way?
No, and treating every job the same is often where the prep problem starts. A colour consultation is the natural point to show the customer options rather than a single price: a basic repaint with standard prep, against a fuller option that includes defect repairs, extra coats and proper prep on tricky surfaces.
Presenting good, better and best options, built from what you actually find during that first look at the job, means the customer chooses the level of prep they are paying for, and you are not absorbing hours you never priced. It also means the conversation ends with a booked date on one of those options, rather than a quote sitting in an inbox while the customer decides.
What happens when a painter keeps taking on prep-heavy, low value jobs?
Picture a painter whose diary filled up with small jobs, touch-ups, a feature wall here, a quick interior refresh there, each one needing a full day of masking, filling and sanding for only a few hours of actual painting. The crew looked busy every week, sites were full, and the quotes kept coming in, but there was almost no breathing room and not much left over once the dust settled.
The shift started with looking honestly at which jobs were carrying real margin once prep was counted properly, and which ones were just filling the diary. From there it meant raising prices on the prep-heavy, low value work, being willing to say no to some of it, and putting the freed-up capacity into the jobs, new builds, commercial runs, larger repaints, where the prep-to-paint ratio actually worked in the painter's favour.
How does Data First Coaching approach this?
Data First Coaching starts with your own job numbers through the Trade Business Intelligence, not with a conversation about how busy you feel. For a painter, that means looking at quoted hours against actual hours on real jobs, repaints, strata units, commercial fit outs, to see exactly where prep is running past what was priced, and whether that is a pricing problem, a job selection problem, or both.
Greg Allan built this method from running his own trade business, so the starting point is always the numbers rather than a guess. The how, the systems and the agents that hold this tracking for you, is worked through inside the Academy, with members, because the Trade Business Intelligence is powered by every member who is open minded, innovative and willing to share what they learn.
Looking for a business coach who starts from your numbers? Painter Business Coach or every answer for painters.
