Roofing operators at $10M–$60M face margin challenges driven by subcontractor management, material cost variance, and weather-driven demand spikes that make consistent execution hard to measure. The data to identify where margin is leaking is already in your job management system.
Roofing margin loss isn’t one problem. It compounds across crew variance, material cost drift, and storm-demand conversion gaps — all at once. Most roofing operators can name the symptoms. Almost none have seen the dollar amount tied to each one — because the data sitting in their job management system has never been read that way.
Your best crew delivers a 4% callback rate on shingle installations. Your average crew runs 9–11%. At $3K–$8K per warranty callback, a 50-job-per-month operation with three crews has 6-figure variance in callback cost depending on which crew was assigned. The job data to identify which crews are generating the callbacks exists. The pattern analysis to act on it doesn’t.
6–10% average callback rate on roofing installations — 2–4× variance across crew qualityRoofing material costs fluctuate with supply chain and seasonal demand. Most roofing operators don’t track material cost variance at the job × crew level — which means they can’t identify whether margin erosion is coming from crew waste, supplier cost increases, or quote-to-actual scope gaps.
8–14% material cost variance across identical job types when not tracked at job levelStorm events generate inbound demand spikes that most roofing operators handle with generic intake processes. The operators who convert storm leads at 40–50% (vs. industry average of 25–30%) have a standardized intake, inspection, and presentation process that their CSRs and inspectors follow consistently.
25–30% average storm lead conversion vs. 40–50% for top-quartile operatorsGeneric job management software tracks your roofing jobs. Roofing operations intelligence tells you why your margins are where they are — and what to do about it before the next storm season.
Shows revenue totals and job counts. Doesn’t surface callback rate by crew, material cost variance by job type, or storm lead conversion by intake rep.
Addresses general operations and sales principles. Not built from your specific data, your crew mix, your material suppliers, your market.
Adds features inside the existing system. Doesn’t cross-reference crew performance data with material cost and warranty callbacks across 12 months of job history.
Adds headcount. Still requires a system to identify which crew-to-job-type combinations are generating the most callbacks and material waste — and by how much.
Pulls every job record, crew assignment, material cost, and callback outcome from your existing job management system. No new platform. No migration.
Built from your actual roofing job history — shingle, flat, commercial, residential, storm. Not generic field service benchmarks.
Correct material spec for job type, callback risk flag from crew history, prior job history at the address. Delivered in the existing job management card before the crew leaves.
Monitors every crew’s performance against baseline weekly. Flags the patterns before they compound into a seasonal margin problem.
Four tools. One engineer on-site. The first 30 days are diagnostic — no changes, just numbers.
AI connects to your roofing job management system via API and reads 6–12 months of job records — callback rate and material cost variance by crew and job type, installation quality patterns, and quote-to-actual scope gaps. The full roofing operational picture from your existing job management data.
Tracks callback rate, material cost, and job completion time by crew and job type — identifies which crews are generating the most rework and where the installation standard is breaking down. Delivered as a ranked crew scorecard updated each week from your job data.
Analyzes lead intake, inspection, and presentation patterns during high-volume periods — surfaces which intake processes convert at 40–50% and which lose leads during demand spikes. Identifies the rep-level and process-level gaps before the next storm event.
AI monitors callback rate, material cost variance, and conversion rate weekly — flags trends before they compound into a quarterly margin problem. 3–4 week lead time before the pattern shows up in the monthly P&L.
Our Full-Operation Audit (Days 1–30) maps every roofing margin leak — crew callback patterns, material cost variance, and storm lead conversion gaps. If we don’t identify at least $200,000 in recoverable annual revenue, we refund Phase 1 in full. You keep all audit deliverables.
After kickoff, we ask for about 30 minutes a week of your ops leader’s time.
We’ll start with a recent export or sample job data from your job management system, show you the crew callback patterns, material cost variance, and storm lead conversion gaps, and scope the engagement. Full access happens only if you proceed to the audit.