METHODOLOGY SOURCE OF OUR NUMBERS

How we source
our numbers.

Every headline statistic on this site is documented here — source, sample size, caveats, and the date of the last underlying data refresh.

Statistic 1

62% of after-hours emergency calls go unanswered

Source
Restoration industry operational benchmarks — average unanswered rate for small-to-mid restoration contractors lacking 24/7 dedicated intake centers.
Sample size
Modeled from industry trade reports (RIA / Restoration Industry Association call-flow benchmarks). Real platform cohort measurements will replace this model once production cohorts reach 25 active contractors.
Caveats
Represents estimated calls that reach voicemail or disconnect before live human response between 18:00 and 06:00 local time. Contractors with 24/7 staffed answering services experience significantly lower missed-call rates.
Statistic 2

$4,200 average revenue lost per missed call

Source
Property insurance industry restoration averages for residential water-damage mitigation claims (Category 1/2 clean and gray water loss averages).
Sample size
Industry claim severity benchmark ($3,500–$4,500 average mitigation ticket). Rounded to $4,200 for marketing display. Real production cohort values will be published as network volume scales.
Caveats
Figure reflects water mitigation phase only (excluding reconstruction/build-back). Actual claim value varies substantially by affected square footage, class of water, drying equipment requirements, and carrier fee schedules.
Statistic 3

$48K/year captured by Launchpad / replaced by Engine

Source
Restoration call capture model: estimated after-hours emergency call frequency multiplied by average mitigation job ticket net of labor and dispatch overhead.
Sample size
Illustrative financial model based on capturing 1–2 emergency mitigation opportunities per month that would otherwise be lost to competitor dispatch.
Caveats
Actual revenue capture depends directly on local market demand, contractor crew capacity, and call volume. This is an operational model, not a guaranteed financial outcome.
Statistic 4

Claims paid 40% faster

Source
Design target for time from first emergency dispatch to first carrier payment received, modeled from published carrier-program cycle-time benchmarks and the manual hand-offs Proof eliminates (intake → estimate → submission → supplement).
Sample size
Modeled engineering target. No production cohort exists yet — we will publish the real cohort figure (with n, medians, and both pre/post distributions) once at least 25 contractors have at least 25 closed claims each on the platform.
Caveats
Until the production cohort exists, read 40% as the outcome the product is engineered for — not an observed customer result and not an SLA. Carrier mix, TPA mix, and storm-season effects will contribute variance to the eventual measured figure.

Customer Testimonials & Case Study Policy

Proof OS follows the FTC's Endorsement Guides (16 CFR Part 255). We do not publish fabricated quotes or composite testimonials. A customer quote or case study appears on this site only with that customer's documented operational data and their explicit consent to attribute it.

The headline statistics above are not customer results. Each one is an industry benchmark or a model, and its card says which; no production cohort exists yet. When customers agree to it, case studies with their real operational metrics (cycle times, intake capture rates, and carrier approvals) will be published here with the data behind them.

For questions regarding our methodology or data sourcing, contact priority@proofco.ai.

Last reviewed: October 12, 2026.