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How benchmarks work in this tool: Miss rate and close rate are industry averages derived from the sources below — they are not editable because they are research-derived. Average job value is pre-filled from the benchmark but you can override it with your actual number. All values are loaded from benchmarks.json — a separate config file that can be updated without redeploying the HTML.
Loading benchmark data...
Calculation methodology
Revenue loss model
monthly loss =
calls × miss rate
× close rate
× avg job value
Close rate is the estimated percentage of unanswered calls that would have converted to a paying booking if a live person had answered. Derived from industry call tracking data.
Seasonal projection
monthly[i] =
loss × (1 + sin(
(i−2) × π/6
) × 0.22)
The 12-month curve uses a sinusoidal model to reflect typical call volume seasonality. This is a modeled estimate — not historical data from your business.
5-year projection
year[n] =
annual × (1.03)^n
for n = 0 to 4
Assumes 3% year-over-year growth in call volume, consistent with US small business service sector averages (Bureau of Labor Statistics, 2023).
Data governance
How data is stored
All benchmark values live in benchmarks.json — a single config file separate from the HTML. Benchmarks can be updated without redeploying the application. The tool fetches this file on every page load.
How staleness is detected
Each benchmark has a verifiedDate field. If any benchmark is older than 12 months, the tool automatically flags it with an amber warning in the calculator and on this page.
How to update a benchmark
Open benchmarks.json. Find the industry. Update the relevant values. Update verifiedDate to today and bump meta.version. Commit. Done — no HTML changes needed.
Source link policy
All source URLs point to the report landing page, not a specific year's PDF. This ensures links remain valid even as reports are updated annually.
Important disclaimer: All figures are industry benchmarks derived from the reports linked in the table above. They represent averages across large datasets and may not reflect your specific market, geography, or staffing model. Unanswered ROI is an estimation tool — not a financial audit. Override the pre-filled job value with your own number for a more accurate calculation.