Kimoby Field Report
The Service Manager's Pay Plan
How the modern service lane pays you for things your DMS cannot see. Built for the person whose paycheck depends on every one of those numbers.
871 dealerships · 16.8 million repair orders · Twelve months ending February 2026
A note before you start
This report is written for one person: the Service Manager whose variable pay is tied to numbers most of their tools cannot fully measure.
We did not write it to sell you software. We wrote it because we sit on a large service lane engagement dataset and the patterns inside it are too useful to keep to ourselves. If you take nothing else from this page, take the three-question diagnostic near the end. It will tell you in about three minutes whether your shop is leaking the kind of money your pay plan is designed to reward.
The data is real and the limitations are stated where they exist. Every place the numbers describe a correlation rather than a controlled experiment is flagged, because at this scale the correlations matter, and you deserve to know which is which.
The product mentions are at the end. If you skip them, the report still works.
Section 1
Every Service Manager works for three bosses.
They do not want the same things on the same day. The dealership wants throughput. The OEM wants depth. The customer wants speed and clarity. When they conflict, you are the person standing in the middle of the lane.
The dealership
Wants throughput
- Gross profit on parts and labor
- Hours per repair order
- Effective labor rate
- Comeback rate held under 2%
The OEM
Wants depth
- CSI at or above national average
- Fix-right-first-time above 90%
- Every recall completed and documented
- Warranty claims clean enough to survive an audit
The customer
Wants speed and clarity
- Decides whether to approve the work
- Decides whether to come back
- Decides whether to write the review
- Not on your pay plan, and bends every metric on it
The variable component of a typical Service Manager plan runs 30 to 50 percent of total compensation. Notice what it rewards: more hours sold per car, higher dollars per labor hour, customers who come back, survey scores. None of those are things you can do alone. All of them depend on the conversation between your advisor and your customer, which is the one part of your operation the DMS was never built to manage.
2. What your DMS tells you, and what it does not
Your DMS is a masterpiece of accounting. It is the system of record. It is also, with very few exceptions, silent on the questions that determine whether next month's numbers will be good or bad.
Click either column.
Your DMS knows
Available by lunch, to the decimal
- Repair orders closed last month
- Hours sold per RO, by advisor and by tech
- Effective labor rate by department
- Customer pay, warranty and internal gross profit
- Comeback rate
- Any of three dozen variations on the above
Your DMS does not know
The inputs your bonus actually depends on
- How long the advisor took to send the estimate after the tech finished
- Whether the customer saw a photo of the worn pad, or heard it described
- How long the customer took to approve, or declined work that should have been approved
- Whether anyone followed up on the work that was declined
- How many customers called between 8:30 and 11:00 and reached voicemail
- How many lapsed customers came back because someone reached out
- What your best advisor does in the first six minutes that your weakest does not
You are paid for outcomes that depend on a process you cannot fully see.
This is not a complaint about the DMS. It does what it was built to do. The problem is that the industry spent thirty years measuring what is easy to measure and asking Service Managers to manage what is hard to see.
3. Hours per RO, the first lever
Hours per RO is the closest thing the service department has to a single executive metric. It rolls labor sales, technician productivity, advisor behaviour and customer approval rate into one number. Most pay plans include it directly, and most that do not include something downstream of it.
The trade publications will tell you the levers are technician proficiency, advisor training, the labor grid and the inspection process. They are not wrong. They are not complete.
Across all 16,849,842 repair orders, those carrying a digital conversation averaged $455.08 in customer pay against $291.12 without one, a difference of $163.96 on every repair order. Sorting by how many messages were exchanged sharpens it considerably.
A note on what this is and is not. Larger and more complex jobs naturally generate more communication. There is more to discuss, more to approve, more to show. This is a correlation, not a controlled experiment, and we are not claiming each additional message causes another sixty dollars of customer pay.
What we are saying is that a Service Manager who gets a meaningful share of their book to behave like the high-conversation set is operating in a different financial reality from one whose book behaves like the single-message set. Even if the engagement is half a cause and half a marker of complexity, the operational implication is the same.
Your bonus is calculated on hours per RO. Hours come from labor lines. Labor lines get added when work is recommended and approved. Work gets approved when the customer can see what is being recommended and act on it without phone tag. The chain ends at the conversation, and everything upstream is downstream of that.
Size the gap at your store
A correlation across millions of repair orders is worth sizing in dollars, because the question you are actually asking is not whether this proves causation. It is what the financial shape of the gap looks like, and how much of it you would need to close to feel it on your pay plan.
So you set the causal assumption, not us. Every other input is visible and adjustable too.
The causal assumption
How much of the engagement gap do you believe is actually caused by the conversation, rather than by the job complexity that also produces the conversation? There is no correct answer. Pick the one that matches your shop.
Annual incremental customer pay at your assumptions
lift on baseline revenue
gross profit at 52%
repair orders moved
The engagement gap is scaled by OEM tier using weighted average customer pay per RO, against a verified dataset median of $317.62. Every assumption above is yours to change, and the arithmetic is in the methodology.
4. Approval velocity, and the distribution
Hours per RO measures what got sold. Effective labor rate measures how well it got sold. You move ELR by moving the approval rate on premium recommended work, and you move that by changing how the customer experiences the recommendation.
Customers are not slow and they are not unreachable. When they can see what is being recommended, with photos and line items, on their phone, they answer in minutes, in either direction. That hits your pay plan in three places.
ELR moves up
Higher-value lines get approved at a higher rate when the customer can see them. Customers do not decline expensive work. They decline unexplained work, which often happens to be expensive.
HPRO moves up
Faster approvals close the gap between the tech finishing the inspection and starting the additional work. That gap is the difference between a one-visit RO and a two-day RO.
Comebacks move down
A customer who approved with eyes on the photos remembers what she approved. The "I never authorised that" comeback is a documentation problem, and photos solve it.
Where the stores actually sit
Across 833 dealership accounts with at least 1,000 closed repair orders, average customer pay per RO varies enormously. Same brands, same labor grids, same flat-rate technicians. Move the slider to place your store.
Store-level percentiles across 833 accounts: P10 $196.32, P25 $240.79, median $317.62, P75 $427.35, P90 $560.54. The top decile averages roughly 2.9 times the bottom. That is not a cost-of-goods problem, a hiring problem, or a labor grid problem. The variable is execution at the conversation layer.
Your brand, your baseline
The all-brand percentile above is useful but incomplete. A Porsche store at the 25th percentile of Porsche stores still outperforms the median Honda store two to one. If you read that scale and concluded you were fine, you might be at the 25th percentile of your own brand.
The gap column is the spread between the 25th and 75th percentile within that brand. That is the range inside which your execution, not your badge and not your market, decides where you land.
Store-level percentiles across 833 accounts with at least 1,000 closed repair orders. These are medians of store performance, not repair-order-weighted platform averages, because you want to compare against a typical peer store rather than a volume-weighted mean.
5. Retention, the lever your bonus pretends not to care about
Retention is the metric every Service Manager pay plan should include and most do not include directly. Some cap a comeback bonus, others tie a flat percentage to CSI, but few isolate retention as a primary line on variable comp. That is a strategic mistake the industry is slowly correcting, because retention is the lagging indicator that reveals which shops have actually solved engagement and which are running on borrowed customers.
The clearest number in this dataset is not the cohort rate. It is what a returning customer is worth.
$549.28
is what a customer spends when they come back after thirteen months or more away. Every other repair order averages $320.76. They arrive with deferred work, and most of them only return because something reached out.
625,625 customers returned after that gap across the dataset, generating 714,259 repair orders. Reactivation runs between 1% and 7% of a store's volume, and the typical store sits at 4%.
By any standard industry definition those customers were lost. A Service Manager with a system for the lapsed customer and one without are running different businesses. The accounting term is found money. It requires no new customers, no new technicians and no negotiation with the OEM. It requires a list of people who stopped coming and a calendar of when to ask again.
The engagement connection shows up consistently too. Customers whose repair orders included a digital conversation returned at a rate 6 points higher. Campaign recipients returned 9 to 10 points higher. Customers given a loaner returned 7 points higher. Each measured across more than 20,000 customers, each independent of the others. The standard confounder applies: engaged customers may be more loyal to begin with. But three unrelated engagement types pointing the same direction at that scale suggests something simpler. The people who heard from you are the people who showed up again.
Section 6
The tax you pay for silence
Most Service Manager pay plans contain a line item that never shows up in the DMS and rarely gets discussed until it hits. OEM franchise agreements tie allocations, co-op funds and volume bonuses to CSI, and at store level that lands directly in your variable compensation.
The structure varies but the pattern is consistent. Miss the threshold, lose money. Hit it, earn a bonus. A typical modifier swings quarterly variable comp by 10 to 25 percent in either direction, and on plans with a dedicated CSI bonus line the annual swing can exceed ten thousand dollars.
The connection to everything above is direct. CSI measures whether the customer felt informed, respected and attended to. The engagement gap is not only a revenue gap, it is a CSI gap. The customer who received a digital estimate, a status update at the midpoint, an inspection with photos and a clear pickup confirmation is not just spending more. She fills out the survey differently.
Work out your exposure
Annual compensation riding on your CSI score
Check whether yours is symmetric
The figure above assumes the modifier works in both directions. In manager plans it often does not. A recurring design in publicly posted plans deducts money for missing a KPI target while offering nothing for beating it, and managers identify this as a flaw unprompted. Two separate commenters on the same posted plan reached it independently: one noted the deduction only penalises underperformance without incentivising the reverse, the other said plainly that they dislike negative CSI deductions specifically because there is no bonus for positive results.
So before treating your CSI modifier as upside, read the plan language and find out whether the upside actually exists. A penalty-only modifier is not a bonus you can earn. It is a fine you can avoid.
The lever is not the survey. It is whether the customer felt informed before the survey arrived. Fix the communication and the score follows, not the other way around. CSI mechanics described here are drawn from publicly posted pay plans, which are self-reported and self-selected.
7. A systems problem, not a personnel problem
The natural instinct is to look for a people problem. Train the advisors harder. Hire someone for the phones. Run a campaign once a quarter. Put up a sign about CSI. These are workarounds, and the data suggests workarounds do not move the metric, because the problem sits underneath the people.
The service lane runs on infrastructure designed for a different job. The DMS is precise, historical and rigid. It tells you what happened. What the lane needs alongside it is something that handles the chaotic, human, fast part: estimates, inspections, approvals, status updates, payment, lapsed customer outreach, loaner management. The conversation, captured and connected to the repair order.
That is not a feature you bolt onto the DMS, and it is not a texting tool. Every point solution adds a login and a tab until the advisor runs five systems instead of one, and the customer experience falls through the seams between them.
The slow clock
The DMS
Precise, historical, organised around what already happened. A system of record.
The fast clock
The service lane
Chaotic, human, organised around what happens next. Most dealerships run it on nothing at all.
There is a well-established name for what the slow clock does. There was not one for the fast clock, which is part of why most dealerships have not bought one. We call it a Dealership Engagement System (DES)™: a single platform running the entire service lane customer interaction, from drop-off through inspection, estimate, approval, payment and follow-up, connected to the DMS but distinct from it.
8. Four moves, and what they stack to
Each move below was sized independently against the data. Tick the ones you are not already running. The total discounts 17.5% for overlap, because a first-visit customer receiving a digital estimate is counted in two of them.
Annual incremental customer pay, after overlap discount
$0
Nothing ticked yet. Select the moves you are not running today.
The number this report is named after
What all of that is worth on your paycheck
Everything above is the store's revenue. This is the share that reaches you. Tell it how your plan is shaped and it will work out what the moves you selected are worth in your variable compensation this year.
First, which job do you actually have?
"Service manager" covers at least two roles with different pay logic, and the difference is large enough that conflating them makes any benchmark useless.
Lane manager
$80,000 to $100,000
A hybrid role. Still writing repair orders, still on the drive, taking fewer appointments but active in inspection and delivery. Pay lands close to top-advisor money because the work is close to advisor work. One poster described taking a $15,000 pay cut moving from advisor into this seat.
Department manager or service director
$150,000 to $200,000
Full profit and loss ownership of the department. This is the role the rest of this report is written for, and the role the model below assumes. If you are a lane manager, treat the output as the department's gain rather than yours.
Community-reported bands from a single manager thread, with regional variance noted by the posters. Directional, not a validated statistic.
Your number
See what this is worth to you
Your variable compensation impact from the moves you selected, and separately from the rate escalation if the same work carries you over your CSI target. Plus a one-page summary with the arithmetic laid out, which is the version worth having in front of you at your next plan review.
That email address does not look right.
Additional variable compensation, annual
Gross or net. Check which one before you sign anything.
Service managers on public forums warn about this more consistently than any other pay plan issue. Paid on gross, your commission tracks what the department produces. Paid on net, it tracks what is left after expenses you do not control. One manager reported their highest sales month producing a lower commission than usual because of undisclosed costs charged against the department. Another put it bluntly: on net terms you end up covering all expenses, including the owner's vehicles and renovations.
The obvious objection
"If I grow the department, they will just rewrite my plan."
This is the first thing an experienced Service Manager says to a model like the one above, and the concern is not paranoid. The clearest public evidence for it comes from advisors rather than managers, so read it as the pattern rather than as your own numbers: a top advisor at a high-volume import store had their pay cut 30 percent, with the stated reason being that they were earning too much. Another store rewrote the plan after a record month. One advisor described the plan changing eight times in seventeen years, each version paying less. Another watched annual income fall from $90,000 to $50,000 across three revisions.
Whether that happens at the manager level as readily is not something we can show with the same evidence. What we can say is that the risk is real enough that experienced people plan around it, and this report cannot price it. What it can do is name the two things that appear to change the odds.
First, measurement changes the conversation. A plan gets cut quietly when nobody can attribute the growth. It is harder to cut when the manager can show which specific changes produced which specific gross, which is what the three-question diagnostic is for. Second, portability. The same threads that describe plans being cut also describe advisors and managers leaving for stores that pay properly. A documented track record of moving a department's numbers is the thing that travels with you.
Gross profit on the moves above is taken at a blended 52% of customer pay, parts plus labor, which is an assumption rather than a measured figure. The rate range of 1 to 4 percent of department gross, the rate-escalation-on-CSI structure, and the gross-versus-net caution are drawn from publicly posted service manager pay plans. Manager plans are posted far less often than advisor plans, so that sample is small, self-reported and self-selected. Treat it as the shape of the market rather than a benchmark, and note that where this report draws on advisor evidence instead, it says so.
The three-minute diagnostic
If you cannot answer all three about your shop today, you have a measurement gap. Closing it is a strategic decision.
1. What is your average customer pay per RO on repair orders with a digital estimate sent, versus those without?
2. What is your median time from estimate sent to customer approval?
3. How many lapsed customers did your shop bring back last year through proactive outreach, and what did they produce?
Answer the three above
If your DMS cannot answer these, it is not because the data is hidden. It is because it was never captured. The conversation never made it onto the ledger.
Closing
You are paid for outcomes that depend on a process you cannot fully see. That is the structural reality of running a service department in 2026 on infrastructure designed in the 1990s.
The conversation between your dealership and your customer is the part of the business that is least instrumented and most leveraged. Move it and your hours per RO move. Move it and your effective labor rate moves. Move it and your retention moves. Move it and your CSI moves.
The cost of moving it is a decision. The cost of not moving it is already on your pay stub.
Methodology and limitations
Platform data covers 871 dealership accounts on the Kimoby Service Lane OS that wrote at least one repair order in the twelve months ending February 2026, totalling 16,849,842 closed repair orders and 4,436,882 distinct customers. Kimoby built the system that captured it. We are the vendor, and the limitations below follow from that.
On causation
The engagement findings are observed patterns, not controlled experiments. Repair orders with more conversation are not randomly assigned; they are larger, more complex jobs that naturally generate more communication. That is why the model above asks you to set the causal share rather than asserting one. Job complexity, vehicle age, brand mix and geography are all uncontrolled confounders.
On the conversation-depth cut
The one-message, two-to-three and four-or-more breakdown covers the 3,999,540 repair orders that carried at least one message, which reconciles with the 3,999,548 identified as having a digital conversation in the headline comparison. Repair orders with no conversation at all are excluded from the depth buckets by definition; they appear in the headline figure, where all 16,849,842 repair orders split $455.08 with a conversation against $291.12 without, a difference of $163.96.
One limitation worth stating: messages carry no repair order identifier in the source data, so message counts are rolled up to a repair order through the customer record rather than a strict per-visit window. The buckets should therefore be read as directional. The ordering is unambiguous, the exact boundary between two and three messages is not.
On the store distribution
Store-level percentiles are computed across 833 accounts with at least 1,000 closed repair orders in the window: P10 $196.32, P25 $240.79, median $317.62, P75 $427.35, P90 $560.54. The top decile averages roughly 2.9 times the bottom decile. Brand tables use the same account population.
On the brand tables
Brand figures are store-level percentiles, not repair-order-weighted averages. A franchise selling more than one brand will sit between its brands' figures, and stores with unusual job mix will sit outside their brand's range for reasons unrelated to communication. The benchmark is the start of a conversation, not a verdict.
On what we could not find
Three independent searches of publicly posted pay plans failed to surface a single service manager plan documenting tiered CSI bonus thresholds in dollars. Advisor threads routinely provide that granularity, listing exact bands and rates. Manager threads do not. We are reporting that as a stable finding rather than a search limitation: if a manager-side CSI tier benchmark exists, it is not publicly discussed at any useful volume, and any report quoting one should be asked where it came from.
This is why the model above uses rate escalation, which managers do describe, rather than cliff bonuses, which they do not.
On retention
This edition reports reactivation rather than a cohort retention rate. 625,625 customers returned after an absence of thirteen months or more, generating 714,259 repair orders at an average of $549.28 in customer pay against $320.76 for all other repair orders. A NADA-comparable cohort figure is being re-derived and will appear in a future edition rather than being published before it reconciles.
On the phone
Inbound service calls remain the largest unmeasured loss surface in the department. Marchex call analytics put unanswered inbound automotive service calls at 20 to 30% of volume, clustered in the morning drop-off window when advisors are least able to pick up. Platform-wide voice figures are being collected, so the phone is deliberately absent from the revenue model above rather than estimated.
On the source
This data comes from one vendor's platform, which is both why it exists at this scale and a limit on how it should be read. Kimoby customers are self-selected: dealerships that chose to invest in service lane engagement are unlikely to represent dealerships generally. Read the absolute numbers as what is achievable by stores already committed to this, not as an industry average.
Industry benchmarks cited
NADA, Cox Automotive 2025 Service Industry Study, J.D. Power 2024 and 2026 U.S. Customer Service Index studies, J.D. Power 2024 U.S. Aftermarket Service Index Study, TVI MarketPro3, and Marchex call analytics.
© 2026 Kimoby Inc. All rights reserved. Dealership Engagement System (DES)™ is a trademark of Kimoby Inc.
