The two departments that decide whether a store makes money are also the two most often measured in monthly averages. We build the reporting that goes underneath the average — per store, per manager, per advisor, per technician — and puts every number next to the benchmark it should be judged against.
F&I measured by manager and product, not just as a store average
Fixed ops measured against the expense base it is meant to cover
Every metric carries the range it should sit in, in the interface
Tied to the financial statement before anyone is asked to act on it
A store reporting solid F&I per copy can still have one finance manager forty percent below the others, a product that never gets presented, and a lender arrangement leaving money on the table. A store reporting acceptable absorption can still be losing an hour a day per technician to parts waiting and a dispatch process nobody has looked at in years.
Monthly departmental averages are the level at which most dealerships measure, and they are the level at which the actionable detail disappears. The work here is to break the number down far enough that it points at something a manager can change on Monday, then to keep it broken down every day rather than once at month end.
Penetration by product, by store, by finance manager, and by deal type — cash, retail, lease, subprime. Presentation rate separated from close rate, because a product that is never presented is a different problem from one that is presented and declined.
Front and back gross per copy, split into reserve, product, and fee components, tracked against the store's own trend and against benchmark. Chargebacks netted where they belong rather than buried in a later month.
Approval and look-to-book rates by lender and credit tier, funding turnaround, contracts in transit aging, and where spread is being given up. Answers which lender relationships are actually earning their place.
Ceded premium, loss development, and the reinsurance position tracked alongside the retail P&L, so the store's real economics on a product are visible rather than split across two sets of statements.
A per-manager view that pairs production with the mix that produced it, so a strong number built on one product and a strong number built on balanced penetration do not look identical.
Rate participation within policy, menu presentation completeness, and required-document tracking — surfaced continuously rather than discovered during an audit.
Fixed gross measured against the fixed expense it is meant to absorb, tracked monthly and rolling, per store. The single number that says whether the service and parts departments carry the operation or lean on it.
ELR by pay type — customer pay, warranty, internal — against door rate, with the discounting and the internal transfer pricing that pull the two apart made visible instead of assumed.
Hours sold against hours available and hours worked, proficiency by technician and by job type, and the recurring jobs where flagged time and actual time have quietly separated.
Hours per repair order, effective labor rate, upsell and declined-service capture, and the multi-point inspection follow-through that decides whether a declined recommendation ever comes back.
Express lane cycle time, capacity utilization by hour and day, and where the constraint actually sits — bays, technicians, parts availability, or dispatch. Scheduling changes usually beat hiring.
Gross by source, fill rate, days supply, obsolescence aging, and the emergency-purchase pattern that is a stocking problem wearing a different hat.
Claim submission lag, rejection reasons, resubmission outcomes, and warranty receivable aging. Slow claims are a working-capital problem before they are an administrative one.
Service retention by cohort and by selling store, defection timing, and the maintenance interval where customers stop coming back. Fixed ops volume next year is decided by this year's retention.
The reason dealer scorecards get argued with rather than acted on is almost never the arithmetic. It is that two managers mean different things by the same word. Effective labor rate can include or exclude internal. Penetration can be measured against total deliveries or against financed deliveries. Absorption has at least three defensible definitions.
So the definition ships with the metric. Each line in the interface carries what it is, how it is calculated here, and where it should sit against industry benchmarks — reachable in place rather than in a document nobody opens. Benchmarks are tuned to your brands and market as you learn what good looks like in your stores, and the same text doubles as onboarding material for a new manager.
Coverage is enforced, not intended. An automated check fails the build if a line on the statement has no definition, if a definition is missing its benchmark, or if a definition describes a line that no longer exists. Documentation that is optional is documentation that goes stale in a quarter.
| Source | What it contributes |
|---|---|
| DMS | Deal detail, repair orders, parts transactions, technician time, and the financial statement the whole thing reconciles to. |
| F&I menu system | Presentation records and product-level detail, which is what separates a presentation-rate problem from a close-rate problem. |
| Lender portals | Decision outcomes, funding timing, and contracts-in-transit status. |
| Reinsurance administrator | Ceded premium and loss development, brought alongside the retail numbers instead of sitting in a separate statement. |
| Scheduling and inspection tools | Appointment and capacity data, and multi-point inspection results including declined work. |
| Payroll and pay plans | The compensation structure behind each producer, so scorecards reflect what people are actually paid to do. |
Typical engagements run eight to fourteen weeks depending on how many rooftops and sources are involved, and whether the F&I and fixed-ops tracks run together or in sequence.
Yes, and a fair number of clients do. Fixed ops usually has the clearest near-term payback and the data lives in one system, which makes it a good first phase. The definitions and the reconciliation work carry straight over when the F&I side is added later.
We start from published industry sources for the brand tier and store profile, then tune them to your market as your own history accumulates. The benchmark is stored as data rather than written into the code, so a general manager who disagrees with a range can change it without a development cycle — and the change is visible to everyone reading that metric.
They can, if they arrive as a surveillance tool. What works is publishing the definitions first, letting each producer see their own numbers before anyone else does, and pairing the scorecard with the pay plan it relates to. We build for that sequence deliberately, and we would rather delay the person-level rollout than damage the department's trust in the data.
No, but it is stated rather than smoothed over. Retail F&I numbers run on the monthly cadence, the reinsurance position updates when the administrator reports, and any view combining the two labels the as-of date of each. Blending a quarterly figure into a monthly trend without saying so is how a dashboard starts lying quietly.
Yes — submission lag, rejection reasons and rates, resubmission outcomes, and receivable aging. We report on it rather than submitting claims for you; the submission itself stays with your warranty administrator.
These analytics are modules within the Dealership Dashboard Platform, and most clients eventually run them there. They can also be delivered as a standalone reporting layer against your existing tooling if a full platform build is not what you want right now.
Send us a recent statement and a month of deal and repair-order detail. We will show you what the breakdown looks like before you commit to anything.
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