This isn't a specific client's story. It's a walkthrough of how the five-pillar Revenue Diagnosis works, using real industry data to show the kind of math involved. Every business is different, and actual findings vary — this shows the method, not a promised or typical result.
Here's how the diagnosis actually works on one pillar, with real numbers behind it.
Call-tracking data from Invoca puts the average miss rate for home services businesses at 27% of inbound calls. Take a shop fielding roughly 200 calls a month — at that rate, around 54 of those calls go unanswered. If even a third of those would have converted to a booked job at an average ticket of $350, that's approximately $6,300 a month in calls that rang out and went to the next business on the list, not because of bad service, but because nobody picked up.
That's the actual mechanism: pull the real call log, compare it against booked jobs, find the gap, put a number on it. The diagnosis doesn't estimate — it counts.
The other four pillars get the same treatment — pull the real data, find the gap, put a number on it.
Cold Estimates. Quotes that were sent and never followed up on get pulled from the FSM and checked against close rates. The gap between "estimate sent" and "estimate followed up on" is where this pillar's number comes from.
Dead Lead Reactivation. Old inquiries sitting untouched in the FSM or a spreadsheet get counted and cross-checked against how long it's been since last contact. Anything past a certain window is treated as dormant, not dead — until it's actually worked.
Unpaid Invoices. Aged receivables get pulled directly from the books. This one's usually the most visible number in the whole diagnosis, since it's money already earned, sitting unpaid.
Lapsed Maintenance Plans. Customers who fell off a service plan get identified and checked against whether anyone's reached back out before their next repair goes to a competitor.
The walkthrough above uses industry averages to show the method. The real Revenue Diagnosis doesn't use averages — it uses your actual call logs, your actual FSM data, your actual books. The number it produces is specific to your business, not an industry estimate.
See the real number for your business — not an industry average.