The Problem with How Service Businesses Measure Success
Most service businesses track two things: revenue and jobs completed. These numbers feel important, but they tell you almost nothing about what is driving your business forward or holding it back.
Revenue can grow while profits shrink (if job costs or overhead are rising faster). Jobs completed can increase while revenue per job falls (if your team is doing more lower-value work). Without deeper visibility, you are running a business based on gut feel -- and making expensive mistakes as a result.
The Metrics That Actually Matter
1. Revenue Per Technician Per Day This is the single most important productivity metric in field service. It normalizes for team size and shows you the true efficiency of your operation.
How to calculate: Total daily revenue ÷ number of technicians active that day
Industry benchmarks (residential field service): - Low performing: Under $600/tech/day - Average: $600-$900/tech/day - Top performing: $900-$1,400/tech/day
If your number is below the average, the next metric tells you why.
2. Jobs Per Technician Per Day Low jobs/day could mean: inefficient routing, too much time on each job, too much time between jobs, or jobs being too small.
Average targets by industry: - HVAC: 4-6 jobs/day (more in summer emergencies) - Plumbing: 4-7 jobs/day - Appliance repair: 5-8 jobs/day - Electrical: 3-5 jobs/day (jobs tend to run longer)
3. Average Revenue Per Job Falling average ticket value is often the first sign of a pricing problem. If your average was $285 six months ago and is now $240, find out why: are technicians discounting? Are you getting more low-value calls? Is your price book outdated?
4. First-Call Resolution Rate What percentage of jobs are resolved completely on the first visit? Return trips kill profitability. A return trip costs you a full job's worth of time for zero additional revenue.
Industry benchmarks: - Good: 88%+ first-call resolution - Acceptable: 82-88% - Problem territory: Under 80%
5. Customer Acquisition Cost (CAC) by Channel How much does it cost you to acquire each new customer, by marketing channel? Google Ads might be generating customers at $120 each. Referrals might cost $15 each. If you do not know this, you cannot make rational marketing investment decisions.
CAC formula: Total channel spend ÷ new customers from that channel
6. Customer Retention Rate What percentage of customers who used you in the past 12 months came back for additional service? The [customer retention strategies](/blog/customer-retention-service-business) that move this number pay dividends for years.
Industry benchmark: 35-45% annual retention for residential, 60-80% for commercial.
7. Revenue Per Lead (for paid marketing) For businesses running Google Ads, LSAs, or other paid acquisition, revenue per lead shows true ROI. Leads that convert to large jobs are worth more than the same number of leads that convert to small jobs.
8. Collection Rate What percentage of invoiced revenue is actually collected? Uncollected invoices are waste. A business invoicing $50K/month with a 92% collection rate is losing $4,000/month to bad debt.
Target: 96%+ collection rate. Under 90% requires urgent attention to invoicing and follow-up processes.
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Get Started FreeBuilding a Weekly Dashboard
A practical operations dashboard reviewed weekly:
| Metric | This Week | Last Week | Target |
|---|---|---|---|
| Revenue | |||
| Jobs completed | |||
| Revenue/tech/day | |||
| Jobs/tech/day | |||
| Avg ticket | |||
| New customers | |||
| First-call resolution | |||
| 5-star reviews received |
Reviewing these weekly creates accountability and makes trends visible before they become crises.
The Reporting Stack
Modern [field service management software](/blog/field-service-management-software-guide) generates most of these reports automatically. The investment in tracking is not time -- the system tracks it -- it is building the habit of looking at the numbers and acting on what you find.
[Track what matters with Fixlify AI analytics → hub.fixlify.app/auth?ref=blog-field-service-reporting-analytics]