By Greg Allan, tradesman and creator of Data First Coaching
Why is my glazing business busy but not making money?
Because being busy and being profitable are two different measurements, and a glazing business usually only tracks the first one. The diary fills up with reglazes, shower screen installs, splashbacks, mirrors and the odd emergency boarding call out, invoices go out, money comes in, and the bank balance moves. None of that tells the glazier whether any single job actually made a margin once the true cost of the glass, the frame, the toughened safety glass and the hours on site are separated out.
Most glaziers quote a job as one number. Glass, labour, travel to the measure visit, and a slice of overhead all get folded into a single price. When the invoice clears, it looks like a win. But if the install ran longer than quoted, or the glass supplier's lead time forced a second trip to site, that job can have quietly flipped from a healthy margin into a loss, and nothing on the bank statement shows it.
Where does the money actually leak on a glazing job?
It leaks in the gap between what the job was quoted to take and what it actually took, and that gap is invisible unless it is tracked job by job. A commercial shopfront repair, an insurance breakage job, and a standard shower screen install all carry different risk of running over, and a glazier who only looks at total turnover never finds out which type is actually dragging the average down.
Measure visits are a common leak. The visit itself is rarely billed properly, supplier lead times can push a job from a single visit into two or three, and every extra trip eats into a margin that was calculated on one visit. Emergency boarding work carries its own risk too, often priced quickly under pressure, with after hours or weekend labour cost not properly reflected in the number charged.
Why does a full diary not prove the business is healthy?
Because turnover is a measurement of activity, not of profit, and a glazing business can run an entire round of jobs without the owner knowing which ones are carrying the others. A big invoice from a commercial glazing job can look like proof the week went well, while three smaller reglazes that ran long quietly cancel it out.
Picture a glazier who finally tried to work out the business's true cost of operations. The business was busy all year, but the owner could never land on a figure that made sense. Every non-billable hour, the measures that did not convert, the driving between sites, the time spent chasing glass suppliers, was being loaded onto the jobs that did get billed, at a rate of around eighty dollars an hour. Strip those hours out completely and the number fell to around eleven dollars fifty-four, which was clearly too low to be real. Neither number told the truth, because the overhead was sitting in the wrong place.
What number actually tells a glazier the truth?
The number that matters is gross profit margin calculated job by job, not the total revenue for the month. You need to see, for every reglaze, every shower screen, every balustrade install and every insurance job, what the glass and frame actually cost, what the labour actually cost once the real hours on site are counted, and what is left over.
That is the number memory cannot give you. You remember the big commercial shopfront invoice. You do not remember that the install ran two hours over because the frame did not sit square, or that the measure visit for a mirror job turned into three visits because of a supplier delay. The data remembers, and it is the only thing that tells you, honestly, which job types are actually carrying the business.
How can AI agents fix this without creating more admin for a glazier?
An AI agent is software that does a piece of work the way you would do it yourself, using your prices, your wording and your rules, and for this problem it can do the job costing you never get time to do by hand. Instead of a quote that blends glass, labour and overhead into one line, an agent can hold each cost separately against the actual job and the actual hours, so you see the real margin without doing the sums yourself after every reglaze or shopfront repair.
In the glazier's situation above, an AI agent was set up to pull the business's actual wage and overhead figures straight from its live data and work out a true cost of operations, with billable hours properly factored in. All the overhead and non-billable time now sits in its own bucket instead of being spread unevenly across jobs, and the agent keeps that costing current as the business changes, rather than it being a one-off calculation that goes stale within weeks.
Should a glazier worry about this before taking on a second installer?
Yes, because adding a second installer or a dedicated measure-and-quote person only pays off if you already know the true cost of the hours you are adding. A glazier who hires on a feeling, because the diary looks full, can end up paying for extra hands on jobs that were never actually profitable in the first place.
This is a data first way of making that call. Before the hire, you want to know which job types, emergency boardings, commercial shopfronts, standard reglazes, double glazing installs, actually carry a margin once the real cost of time and overhead is counted. That is what tells you whether the business can genuinely support more capacity, rather than just more activity.
How does Data First Coaching approach this?
Data First Coaching starts from the glazing business's own job and finance data, read through the Trade Business Intelligence, rather than from the owner's description of how busy things feel. Greg Allan built this because he saw the same gap himself: “I wasn’t tracking profitability on jobs. I was just going, yeah, I made some money there.” The approach finds where the margin actually starts leaking, whether that is measure visits, supplier lead times or non-billable hours, before touching pricing or hiring.
The how, including the way the cost of operations figure is actually built, is worked through inside the Academy, with other members. It suits glaziers who are open minded, innovative and willing to share what they learn, because the Trade Business Intelligence gets sharper for everyone as every member's data feeds it.
