Tool / calculator

The missed-restaurant-call revenue calculator.

Enter your own numbers. Get a defensible monthly estimate of lost revenue from unanswered calls. No industry averages, no hidden multipliers.

The short answer

This tool estimates how much monthly revenue your restaurant may be losing to unanswered phone calls. You provide the inputs — daily calls, missed percent, conversion rate, average ticket, and days open. The formula is visible on the page. Results are estimates, not guarantees.

Updated By Corey Mack — Founder, Fire It

How to source your own numbers

If any of these are guesses, mark them as guesses and pull real numbers before making a decision.

  • Daily calls — your carrier or PBX report, averaged over four weeks.
  • Missed percent — same source; unanswered / total.
  • Conversion rate — from your POS or your own estimate for answered calls that became orders.
  • Average ticket — from your POS reporting.
  • Days open — trading days per month.

What the estimate is not

It's not a promise. Recovering lost revenue depends on whether the same callers would place an order if a system answered. Some callers who hang up on a busy signal try a competitor and are gone. This estimate assumes conversion rates hold — that's an assumption, not a fact.

What to do with the result

Compare the estimated lost revenue to a Fire It plan cost. If the estimated revenue exceeds plan cost by a comfortable margin, a pilot is worth the operator time. If it doesn't, the numbers don't justify the tool yet.

Worked example — a sixty-cover pizzeria on a Friday

Use these deterministic inputs, then adjust to your own carrier report: 80 inbound calls per day, 25% unanswered, 60% conversion on answered calls, $28 average ticket, 30 trading days per month. The formula plugs in directly: 80 × 0.25 × 30 = 600 missed calls per month; 600 × 0.60 = 360 would-have-been orders; 360 × $28 = $10,080 in estimated lost monthly revenue.

That estimate is a ceiling, not a promise: it assumes every missed caller would have placed an order at the same conversion rate as your answered ones, and that every recovered call actually turns into a ticket. In practice the ceiling and the floor usually sit somewhere between 40% and 80% of the modeled number, which is why the next tool worth running is the ROI calculator with a conservative slice of this revenue as your "additional orders captured" input.

Assumptions and limitations, in plain terms

Every input is user-controlled and every formula is visible above. The model deliberately excludes carrier-level differences between "unanswered", "abandoned in queue", and "ringing during closed hours" — most PBX reports lump those together and the calculator follows that convention. It also assumes a stable conversion rate; a shop whose phone rings during a 15-minute peak has different economics than one whose missed calls are spread evenly across the day.

If you're not sure whether the estimate is realistic, cross-check it against the sanity band described below, then use the shape of the number to decide whether a pilot is worth an operator afternoon. For the operational rollout that follows a positive decision, walk the implementation checklist and the menu voice-readiness checklist before touching production number routing.

Common mistakes when sourcing calculator inputs

The most common mistake is estimating daily calls from memory instead of pulling the carrier report — memory almost always understates. The second most common mistake is using a conversion rate from an online-ordering context and applying it to phone; phone conversion is usually higher on answered calls. The third is applying an average ticket that includes catering; catering skews the number upward and makes the missed-call revenue estimate look more dire than it is. Pull each input from its native source and label anything that's a guess.

How to sanity-check the estimated number

Take the estimated monthly missed-call revenue and compare it to your total monthly revenue. If it comes out above ten percent, something is off — either the missed-call percent is inflated or the conversion rate is too high. If it comes out below one percent, the inputs are probably too conservative. The realistic band for most single-shop operators is one to five percent of monthly revenue. Numbers outside that band are worth double-checking before you use them in a plan-cost comparison.

What to do with the number once you trust it

The right next step depends on the ratio between estimated missed revenue and a Fire It plan cost. If the ratio is two-to-one or better, a pilot is worth the operator time regardless of how conservative your inputs are. If the ratio is between one-to-one and two-to-one, the pilot economics depend on how much of the missed revenue you actually recover — and that's an empirical question a two-week pilot answers definitively. Below one-to-one, the plan cost doesn't earn itself back and you should keep the money.

  • Two-to-one or better — run a pilot, the math is likely defensible.
  • One-to-one to two-to-one — run a shorter pilot with tight measurement.
  • Below one-to-one — keep the money; volume isn't the constraint.
Interactive tool

Missed-call revenue calculator

Enter your own numbers. We don't inject industry averages — this is a transparent arithmetic model, not a benchmark.

Estimated monthly impact
Missed calls / mo
600
Would-have-been orders
360
Estimated lost revenue
$10,080

Estimate only. Actual missed-call revenue depends on your specific catchment, menu, hours, and how many callers would have converted if they had reached a human. Recovery is not guaranteed.

Show the formula
missed_calls    = daily_calls × (missed_pct / 100) × days_open
lost_orders     = missed_calls × (convert_pct / 100)
lost_revenue    = lost_orders × avg_ticket
Questions we get

Straight answers

Because they'd be fiction. Averages across the entire restaurant industry hide the specifics that make one shop's ROI positive and another's negative.

See it in practice

Start on Fire It or try the live Neon Slice demo — no card required.