By Greg Allan, tradesman and creator of Data First Coaching
Why does a mowing round that looks full still lose money?
A diary full of recurring mowing jobs and a trailer loaded for the week feels like a healthy business, but it can be hiding a quiet loss. Fuel, tipping fees for green waste, and the dead travel time between one strata job and the next commercial grounds contract all get absorbed into the round without ever showing up as a separate line.
Most gardeners price a round the way they themselves work it: fast, lean, no wasted movement between the mowing, edging and hedging. That speed is real, but it is the owner's speed, not the business's price. When the round is based on how quickly the owner personally gets through a property, the number that comes out the other end is only ever correct while the owner is the one holding the whipper snipper.
What happens when someone else takes over the round?
The moment a crew member runs that same round, the pricing problem stops being hidden and starts costing real money. A round priced around the owner's own pace rarely leaves room for someone newer to the job, or simply built differently, to take a little longer on the edging or the mulch beds and still turn a profit.
Hiring should free up the owner's time and grow the business. Instead, a round priced too tightly often turns a new hire into a loss on every one of those jobs, because the price never had slack built in for anyone slower than the owner to still bank a margin. The round still gets done. The business just quietly stops making money on it.
How should a mowing round actually be priced?
Price the round as one bundled item built around the average crew member, not the fastest person in the business. That means the figure needs to reflect realistic travel time between jobs on the route, the trailer and fuel cost of getting there, the tipping cost of the green waste that comes off site, and the time an average gardener, not the owner, takes to mow, edge, weed and tidy a property to the standard the customer expects.
A round priced this way should leave the owner ahead whenever they personally run it faster than that average, rather than needing to be fast just to break even. Built the other way round, the owner's own speed becomes the only thing keeping the round profitable, and that is not a business, it is a job the owner can never hand to anyone else.
What the price needs to account for, as a bundle rather than separate line items:
- the average time a crew member takes on mowing, edging, hedging and tidy up for that size and type of property
- travel and trailer time between properties on the route, including the dead time that strata and commercial grounds jobs often add
- the tipping cost of the green waste that comes off every round
- seasonal consumables such as fertilising or mulch where they are part of the maintenance contract
Why should the price change with the seasons?
A flat hourly rate charged all year ignores how much a mowing round actually swings with the seasons, and that gap shows up as either lost income in the slow months or an underpriced round in the busy ones. In a spring flush, grass grows faster, rounds take longer per visit, and billable days can be tighter because there is simply more work than hours. In a rain-heavy or slow growth stretch, the same round takes less time but rain days also eat into the days available to run it at all.
A fixed price built for an average week rarely suits either extreme. Pricing that flexes with the season, rather than sitting on one number all year, keeps the round profitable whether the grass is racing away or barely moving, and it keeps scheduling realistic about how many properties a crew can actually get through in a given month.
What changes when AI agents handle the pricing and the admin?
An AI agent is software that does a piece of office work the way the owner would do it themselves, using the owner's own prices, wording and rules. For a gardener, that can mean a quoting or pricing tool that holds the bundled price for a round, adjusts it for the season, and presents it consistently whether the lead comes from a phone call, a website enquiry, or a conversation at a local garden expo.
Picture a gardener who needed a straightforward way to price jobs and compare options for the people he met walking the stands at a local home show. Rather than scribbling rough quotes on the spot, he had built his own pricing and comparison tool from his own numbers, and used it right there at the show to put real prices and sensible options in front of visitors on their phones.
That is the shift AI agents make possible: the pricing logic the business already runs on, available the moment a lead shows interest, instead of living only in the owner's head. It is a data first way of working, because the agent is only ever as good as the round pricing and job data sitting behind it, built from the business's own numbers rather than borrowed from somewhere else.
How does Data First Coaching approach this?
Data First Coaching starts by looking at what a gardener's own job data actually shows about each round: how long jobs really take once someone other than the owner runs them, where tipping and travel costs sit against the price charged, and how far that price moves between a rain-heavy month and a spring flush. The Trade Business Intelligence reads that data alongside ten years of coaching trade businesses to find where a pricing problem really starts, rather than treating a tight margin as simply bad luck. As Greg Allan puts it, “We really want to price our items to match the average trades person getting this job done.” The how of building that pricing and putting agents to work on it is worked through inside the Academy, with members, because the Trade Business Intelligence is powered by every member who joins it.
