Operations · July 18, 2026 · by admin
The field service KPIs worth tracking are first-time fix rate, technician utilization, average job cycle time, revenue per technician, job profitability, and customer retention rate, because each one connects directly to cash in the bank. Metrics like total calls answered or social media followers feel productive to track but rarely change a decision. If a number does not change what you do next Monday, stop reporting on it.
Most small service businesses either track nothing beyond revenue or track everything and drown in dashboards nobody reads. Neither works. This post lists 12 KPIs worth a spot on your weekly scorecard, five you can quietly retire, and the benchmarks to compare yourself against.
This is the percentage of jobs completed correctly on the first visit, with no callback needed. ServiceTitan puts the average first-time fix rate around 80%, with 90% considered ideal and anything below 70% flagged as a problem worth investigating.
A low number here usually traces back to one of three causes: technicians dispatched without the right parts, incomplete job notes from the office, or skill mismatches between the tech and the job type.
The share of a technician's paid hours actually spent on billable work, not driving, waiting, or doing paperwork. ServiceTitan and other field service benchmarks put a strong range at 60% to 80%. Push much past 85% and you are likely overbooking and setting up for burnout and mistakes.
Revenue minus direct costs (labor, parts, subcontractors) for each job, expressed as a percentage. A healthy target is 30% to 50% gross margin, according to ServiceTitan's KPI benchmarks. Track this by job type, not just company-wide; a $95 drain clear and a $9,000 install have very different healthy margins.
Total revenue divided by number of field technicians. Useful for comparing your team's output against itself over time and for deciding when you actually need to hire versus when you need better scheduling.
The percentage of customers who book again within a set window, usually 12 to 24 months for home services. First Page Sage's 2026 retention report puts average retention for construction and related trades around 80%, driven by repeat-contract relationships rather than one-off transactions. ServiceTitan notes HVAC service specifically trends lower, closer to 66%, which tells you retention varies a lot by trade and by whether you sell maintenance plans.
The time from when a job is booked to when it is completed and invoiced. Long cycle times usually mean parts delays or scheduling gaps, both of which quietly bleed cash flow.
The inverse of first-time fix rate: how many jobs require a return visit within a set window (commonly 30 days) to fix the same issue. A rising callback rate on a specific technician or job type is one of the earliest warning signs of a training gap.
How long between a customer request and the first scheduled or dispatched visit. Faster response time correlates strongly with booking rate, especially for emergency categories like no-heat or no-water calls.
Of the calls or leads that come in, what percentage actually convert into booked jobs. ServiceTitan notes a typical shop books around 42% of calls, with well-run call handling pushing that meaningfully higher.
The share of completed jobs that also result in a maintenance plan or service agreement sale. High-performing companies land 30% to 50% attach rate, per ServiceTitan, and attach rate is one of the best predictors of repeat revenue.
Days between invoice sent and payment received. This is a cash flow KPI, not just an accounting one; a business can be profitable on paper and still run out of cash if this number creeps up.
A simple productivity check. It varies enormously by trade and job length, so benchmark against your own history rather than a generic number.
| Track this | Skip or deprioritize this | Why |
|---|---|---|
| First-time fix rate | Total number of calls answered | Calls answered says nothing about outcomes |
| Technician utilization | Hours logged in the app | Logging hours is a compliance metric, not a performance one |
| Job profitability by type | Overall company revenue alone | Revenue can grow while margin quietly shrinks |
| Customer retention rate | Social media follower count | Followers rarely correlate with repeat bookings for local trades |
| Callback rate | Number of five-star reviews this month | Useful for reputation, but a lagging, noisy operations signal |
| Average response time | Website page views | Page views don't tell you if visitors booked or bounced |
| Service contract attach rate | Number of quotes sent | Quotes sent without a close-rate context is meaningless |
Pick 8 to 10 KPIs and put them on one page, checked weekly. More than that and the report becomes noise nobody reads before the Monday morning huddle.
Segment by technician, not just company-wide, wherever the KPI allows it (first-time fix rate, callback rate, utilization). Company averages hide the one tech who is quietly costing you money on every callback.
Review trends, not single data points. A first-time fix rate of 74% one week is not a crisis. A steady three-month slide from 85% to 74% is.
If your team is still pulling these numbers manually from paper tickets or a shared spreadsheet at month-end, the data is too stale to act on. Field service software like FieldRobin captures job status, time on site, and invoice timing automatically, so KPIs like first-time fix rate and average cycle time update as jobs close instead of during a painful end-of-month reconciliation.
Aim for 80% or higher, which ServiceTitan cites as the industry average, with 90% considered ideal. Below 70% usually points to parts availability or dispatch skill-matching problems worth digging into.
Somewhere between 8 and 10 on a regular weekly review. Track more in the background if you want, but keep the number your team discusses every week small enough to actually act on.
Close, but not identical. Utilization measures the share of paid time spent on billable work; billable hours is the raw count. A tech can have high billable hours but low utilization if they are also working long, low-productivity days.
Trade, region, business size, and whether a company sells maintenance contracts all shift the numbers meaningfully. Use published benchmarks as a rough compass, then build your own baseline over two or three months and track improvement against that.
Both, but per-technician data is where the useful decisions live. Company-wide numbers tell you if things are trending up or down; per-technician numbers tell you who needs coaching, more complex jobs, or a different route.
For related reading, see our guide on first-time fix rate in more depth, how field service scheduling best practices affect utilization directly, and what missed calls really cost a service business for the booking-rate side of this list.
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