The numbers, with the math shown.
Our recovery estimate isn't a magic figure — it's a transparent, deliberately conservative model built on three levers, each tied to money your store is already leaking. Here are the exact assumptions behind the calculator, so a CFO can check our working.
Where the recovery comes from.
Declined-service recovery
Deferred and declined RO lines, worked again on price / season / mileage triggers.
- ~28% of repair orders carry a declined or deferred line
- ~8% of those are recovered on an intelligent follow-up cadence
- Average recovered value per item: $340 (US) / £210 (UK)
Trade & lease capture
Trade-ready and lease-maturing owners surfaced from your database before the captive lender calls.
- ~3% of monthly units surfaced as incremental trade / upgrade opportunities
- Average incremental front + back gross: $3,000 (US) / £1,800 (UK)
- Equity + maturity scored nightly across the whole book
Retention & speed-to-lead
First-service capture, declined-repair follow-up and sub-60-second lead response that keep customers in your book.
- Modeled at ~$14,000 (US) / £9,000 (UK) per rooftop per year
- Driven by first-service booking + decline follow-up + faster response
- Compounding, not one-off — it grows with the database
We'd rather under-promise.
Every rate above is set at the low end of what we see, and the model ignores second-order gains entirely — CSI protection, F&I re-engagement, conquest, acquisition. It counts only the three clearest levers. In the stack review we replace these assumptions with your real numbers — declined-RO rate, average ARV, lease maturities, response times — and the estimate becomes a figure you can take to the board. Run the calculator →
Swap our assumptions for your numbers.
Book a stack review and we'll run this model against your real DMS data — line by line, no hand-waving.