The Best Dashboard for an Appliance Repair Business: 10 Metrics That Matter
Appliance repair profitability lives or dies on first-call resolution. A tech who orders the wrong part on 30% of visits is killing route efficiency and margin. Here are the 10 metrics that expose exactly where the money goes.
Key takeaways
- First-call resolution benchmarks at 65-80% for most appliance repair shops. Best-in-class operators hit 85-90% per Encompass Supply Chain Solutions data
- Parts cost percentage should run 25-40% of ticket. Above 40% and you are underpricing parts or over-ordering on complex jobs
- Average ticket benchmarks at $180-$350 for residential appliance repair. Below $180 suggests diagnostic-only visits are pulling the average down
- Gross margin on appliance repair should run 40-55%. The gap between a $85 parts job and a $150 parts job on a $250 invoice is 26 margin points
Appliance repair profitability lives or dies on one number: first-call resolution rate. Every time a tech leaves a home without completing the repair, you spend $200-$300 in truck time and labor to go back. At 100 jobs a month with a 25% miss rate, that is $5,000-$7,500 in waste that never shows up on the P&L line called "wasted return trips" because nobody tracks it.
The secondary lever is parts cost percentage. A $250 ticket with $85 in parts runs at 66% gross margin. The same ticket with $150 in parts runs at 40%. Both look like $250 revenue. The underlying business is very different.
The 10 metrics below cover both, organized by how frequently you need to look at each one. For the broader framework, see home service dashboard metrics and pair this with what KPIs an appliance repair business should track.
Daily Metrics
Service calls scheduled vs. parts on order expected today. The most operationally urgent daily number for appliance repair. If 4 jobs scheduled for today require parts that are still in transit, the dispatcher needs to know before the routes are set. Re-scheduling a customer who is expecting a fix is far cheaper on the call than a tech pulling up to a job with nothing to install.
Jobs awaiting parts. Track this as an aging queue. A job that has been awaiting parts for 2 days is a service reminder call. A job awaiting parts for 7 days is a customer who is about to post a review about the long wait. The queue should be visible on the daily view with the expected arrival date for each open parts order.
Text Clint: "List all open jobs that are in 'awaiting parts' status and how many days each has been waiting."
Weekly Metrics
First-call resolution rate by tech. This is the most important performance metric in appliance repair and the one most shops track least rigorously. FCR is the percentage of completed jobs where the repair was finished on the first visit with no callback within 14 days. If a tech's FCR is 58% and your shop average is 74%, you have a diagnostic or parts-loading problem specific to that tech. The fix is different depending on which it is.
Track FCR weekly rather than monthly so low-FCR patterns surface before they have compounded into 30 days of wasted return trips. See how to track first-call resolution for the data model.
Parts cost percentage by appliance type. Parts cost percentages vary dramatically across appliance categories. A microwave repair tends to run high parts cost relative to ticket because magnetrons and control boards are expensive. A dryer repair on a common failure mode runs low because the part is cheap and the labor is the majority of the ticket. If your washer parts cost percentage suddenly moves from 31% to 47%, something changed: either your pricing book is stale, you are sourcing parts less efficiently, or you are getting a run of complex repairs you are not pricing correctly.
Average ticket by appliance category. Average ticket should be tracked separately for refrigerators, washers, dryers, dishwashers, ovens/ranges, and microwaves. A shop whose refrigerator average ticket has dropped from $280 to $210 in 60 days has either lost its premium refrigerator work to a competitor or started recommending replace over repair more frequently. Both are valid business decisions. Neither is visible in a blended average ticket number.
Callbacks within 14 days. A callback is a job that was marked complete and then generated a return visit within 14 days on the same appliance. Track callbacks separately from FCR. FCR measures whether the tech completed the job. Callbacks measure whether the fix held. A tech can hit 80% FCR but generate callbacks on 20% of "completed" jobs if the diagnostic was wrong even when the part was available.
Text Clint: "What is my first-call resolution rate by tech for the last 30 days, and who has the highest callback rate?"
Monthly Metrics
Gross margin by appliance brand and type. This is where most appliance repair businesses have surprises waiting. Samsung refrigerators often run at lower gross margin than Whirlpool refrigerators because Samsung parts are harder to source and more expensive. Home warranty work almost always runs at lower gross margin than retail work because the authorization process adds time and the reimbursement rates are set by the warranty company.
Run this monthly at the appliance-brand level and at the work-type level (home warranty vs. retail). A shop doing 40% of its volume in home warranty work at a 32% gross margin is a fundamentally different business than a shop doing the same volume at retail with a 52% gross margin, even if total revenue looks identical. For the broader margin lens, see job profitability for home services.
Cost per booked job by lead source. Appliance repair has a short purchase cycle: the fridge breaks today, the homeowner books today or tomorrow. That means lead source quality is visible quickly. If Google Ads produces jobs at $95 per booked job and Yelp produces them at $210 per booked job, the budget allocation decision is clear. Track this monthly using call source tagging in your CRM.
Home warranty vs. retail margin comparison. This deserves its own monthly line even though it is captured in the gross margin breakdown above. Home warranty work is a volume driver that can mask a margin problem. A shop that is growing home warranty volume while retail work stays flat may be growing its revenue number while shrinking its profit dollars. The monthly comparison keeps that dynamic visible.
Revenue per tech per day. The top-line efficiency metric for the service side. Revenue per tech per day combines ticket average and job count. A tech running 5 jobs at $200 each produces $1,000 per day. A tech running 3 jobs at $340 each produces $1,020 per day. The second pattern is usually healthier because it suggests the tech is completing more complex repairs on the first visit rather than burning time on small diagnostic-only jobs. Pair this with technician performance metrics for home services to see who is driving the most revenue per day.
Text Clint: "Show me gross margin by appliance brand for last month, and break out home warranty jobs vs. retail jobs separately."
CRM Comparison: Jobber, Housecall Pro, Workiz
Jobber is the most flexible of the three for appliance repair shops doing mixed residential work. The job forms allow custom fields for model number and appliance type, which matters for parts pre-loading. The reporting covers most of the weekly and monthly metrics above if the jobs are tagged correctly. Gap: no native first-call resolution tracking. FCR requires a custom tag at job close and a report built around that tag.
Housecall Pro handles the scheduling and dispatch side well. Review automation and customer communication workflows are the strongest of the three. Gap: similar to Jobber, FCR is a custom-field project. Parts cost percentage is not a native report. The billing integration with QuickBooks is better than Workiz but requires a consistent parts entry discipline across all techs.
Workiz is the strongest on real-time job status visibility, which matters for the daily "jobs awaiting parts" view. The technician app makes it easy to update job status in the field. Gap: reporting depth is weaker than Jobber on the monthly metrics. Gross margin by appliance type requires exporting to a spreadsheet unless the job types are set up very carefully in the system.
How Clint Tracks Appliance Repair Metrics
Clint connects to Jobber, Housecall Pro, and Workiz and reads job records, invoice data, tech assignments, and parts entries. The first-call resolution query joins job completion records with callback records in a 14-day window by tech. Parts cost percentage queries read the parts line items from invoices and divide by job revenue.
The owner does not need to build these reports. They text a question and Clint reads the data.
Text Clint: "What is my first-call resolution rate by tech this month, and which appliance types have the highest repeat-visit rate?"
Sources
- Encompass Supply Chain Solutions: Transforming Appliance Repair with Parts Prediction
- ConsumerAffairs: Appliance Repair Industry Statistics 2026
- Jobber: Appliance Repair Business Metrics
- Workiz: Field Service KPIs for Small Shops
- Housecall Pro: Home Service Business Benchmarks
- ASTI: Appliance Service Technician Industry Data
Frequently Asked Questions
4 questions home service owners actually ask about this.
01What is a good first-call resolution rate for appliance repair?
65-80% is the range for most residential appliance repair shops. Best-in-class operators reach 85-90% per Encompass Supply Chain Solutions benchmarks. The primary driver of low FCR is parts availability: Encompass data shows insufficient parts inventory causes 68% of repeat visits. Shops that capture model number and symptom at intake and pre-load parts before dispatch consistently run FCR above 75%.
02What parts cost percentage should I target for appliance repair?
25-40% is the healthy range. Below 25% suggests your labor pricing is strong and your parts sourcing is efficient. Above 40% usually means one of three things: complex jobs with expensive parts that were not priced to account for it, stale pricing on your labor rates, or over-ordering parts on diagnostically uncertain jobs. Track it separately by appliance category because the benchmark differs significantly between microwave repair (typically higher) and dryer repair (typically lower).
03What is a normal average ticket for residential appliance repair?
$180-$350 for completed repairs per industry operator benchmarks. Below $180 often indicates a mix issue where diagnostic-only visits with no repair are pulling the average down. Those visits typically reflect jobs where the customer decided against repair after the quote. Tracking average ticket only on completed repairs (where parts were installed and the appliance was fixed) gives a cleaner picture of your actual job economics.
04Should I take home warranty work as an appliance repair shop?
Home warranty work is a volume driver with lower margins. Reimbursement rates are set by the warranty company, typically running $85-$150 per hour with parts reimbursement that may lag market rates. The right answer depends on your capacity utilization. A shop with idle tech capacity may benefit from home warranty volume to cover fixed overhead. A shop running at 90% capacity should be careful: warranty work at 32% gross margin can displace retail work at 52% gross margin, which directly costs profit dollars.
See Clint in action
Clint is the pre-built AI for home service shops. Connect your CRM, email, and phone system in minutes and the agents run on your real data.