Operations & Workflow Automation
Which Tech Makes You Money? Ask Your Job Data
By Antoine Gagnon, co-founder and CEO of Gavion · July 13, 2026 · 4 min read
In short
- "Seems busy" and "makes you money" are not the same thing.
- Track revenue per tech, close rate by lead source and duration vs. quote.
- Gala's Administrative Assistant pulls these numbers from your scheduling and quoting.
You probably have a favorite tech: the one who never complains and always answers your texts. But "seems busy" and "makes you money" are not the same, and mixing them up is an expensive habit.
The problem with guessing who your best techs are
Most owners rank their team by feel: who's easiest to schedule, who complains least, who's been around longest. None of that tells you who closes jobs and brings in revenue.
Picture two techs with nearly identical schedules and decent reviews. One closes upsells on almost every call and finishes close to the quoted time. The other under-quotes, runs long and rarely mentions the maintenance plan, and without job-level data you just see two "good" techs.
This matters more when work slows down. A TradeRise Advisors analysis of close-rate KPIs in home services argues that close rate is a lagging indicator owners need to measure and fix upstream, not a personality test for the sales team. The same logic applies to individual techs.
The data points that actually predict profit
Three numbers tell you more than any whiteboard ranking:
- Revenue per tech. Dollars closed and collected, not hours logged. Field service KPI research from BuildOps describes it as the average amount each tech makes you, which shows whether your headcount matches your revenue. ServiceTrade's KPI research adds that low revenue per technician hour means tech time is consumed but not maximized.
- Close rate by lead source. A referral and a directory lead can cost the same but convert very differently. One home service lead-generation guide notes that a $100 lead that converts to a $5,000 job has better ROI than a $20 lead for a $200 job.
- Job duration vs. quoted time. A tech who keeps running long is either underquoting or working inefficiently. Either way, it quietly eats your margin.
How Gala's Admin Assistant surfaces this
You don't need a business intelligence degree. You need the data pulled from work you're already doing.
Gala's Administrative Assistant builds its analytics from the scheduling and quoting data already flowing through your business. No spreadsheets, no exporting and reconciling reports by hand.
Say a landscaping company sees that one crew closes far more spring cleanup jobs, while another does better on hardscaping estimates. Gala's seasonal staffing forecasts can flag that pattern before the next peak, so the owner sends the right crew to the right work.
Once Gala's QuickBooks and Stripe sync ships (coming soon, not live today), revenue numbers will reflect what was actually collected, not just invoiced. A tech who closes big jobs that never get paid isn't your top performer.
Turning insight into action
Data only pays off if you act on it. Once you see which techs and lead sources convert and collect, stop splitting leads evenly and route more toward proven closers and channels.
Use the before/after photo reports and audit logs in Gala's Administrative Assistant to catch quality problems early. If a tech's jobs keep needing callbacks, the data shows it long before a Google review does.
A landscaper might find that one lead source brings high-ticket hardscaping jobs at a strong close rate, while another brings mostly small mowing contracts. Shifting marketing dollars to the first source is obvious once you can see it.
None of this needs new hires or a data team. If you're still guessing who your best techs are, it's worth finding out for sure. Explore Gala's Administrative Assistant or reach out to Gavion to see it running on your own job data.
Frequently asked questions
How do I know which tech makes me the most money?
Track revenue per tech based on dollars closed and collected, not hours logged. Pair it with job duration versus quoted time. A tech who works fewer hours but closes bigger tickets on time is often worth more than one who always looks busy.
Why track close rate by lead source?
Because leads that cost the same can convert very differently. Tracking close rate by source, not just cost per lead, shows which channels bring jobs worth having, so you can move marketing dollars and your best closers toward them.
Does Gala use collected revenue in its reports?
Not yet. Gala's analytics already draw on your scheduling and quoting data. Once the QuickBooks and Stripe sync ships, which is coming soon, revenue figures will reflect what was actually collected rather than only what was invoiced.
Sources
This article draws on the following sources: