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AI Receptionist ROI Calculator for Home Service Businesses

An AI receptionist costs $97–$99/mo. Whether it pays for itself depends on how many inbound calls you miss each month and what each recovered job is worth. Enter your numbers below to see a straightforward estimate.

This is an estimate, not a guarantee. Real ROI depends on actual call quality, how well the AI handles your specific call type, and whether callers who reach the AI actually book. Use this as a starting point — the best test is a real trial with your own call volume. Verify current pricing directly with each tool before committing.

Calculate Your Estimated ROI

Your Business Numbers

Check your phone's missed call log over the last 30 days. Include calls during jobs, after hours, and weekends.
Your typical single-job revenue. For recurring clients, use the value of one visit, not the lifetime value.
What percentage of missed callers would book if an AI answered? Industry estimates suggest 25–40% for routine service calls. Use 20% if conservative, 35% if your callers are motivated buyers.
Smith.ai AI-only: $97.50/mo · Jobber AI Receptionist: $99/mo flat · Ruby: $245+/mo
Missed calls recovered per month (estimated)
Revenue recovered per month (estimated)
Monthly tool cost
Estimated net monthly gain
Estimated annual gain

Estimates only. Actual results depend on call quality, AI handling of your specific call type, and caller intent. A tool trial with your own call volume is the best test. Verify current pricing with each vendor before committing.

How to Read Your Results

Strong ROI case

Net monthly gain is positive and the payback period (tool cost ÷ monthly gain) is under 1 month. Recovering one or two jobs covers the subscription cost. This is the typical result for cleaning businesses with average job values of $200+ missing 15+ calls per month.

Marginal or unclear ROI

Monthly gain is close to or below tool cost. Either you miss fewer calls than average, your average job value is lower, or your recovery rate assumption is optimistic. Lower the recovery rate to 15% and run the calculation again — if it still works, the case is stronger than it looks.

The most common mistake in this calculation: underestimating missed calls. Most home service business owners think they miss 5–10 calls per month. When they check their phone's missed call log and include after-hours calls, weekend calls, and calls received during active jobs, the actual number is often 20–40. Pull your real numbers before relying on an estimate.

What the Numbers Look Like for Real Business Types

Business typeMissed calls/moAvg job valueRecovery rateTool costMonthly net gain
Solo cleaner10$18025%$99+$351
3-crew cleaning co.30$22030%$99+$1,881
Plumbing contractor20$45025%$97.50+$2,152.50
HVAC business25$60020%$245+$2,755
Landscaping (seasonal)15$35025%$99+$1,213

Illustrative estimates only. Recovery rate, job value, and call volume vary significantly by business. Use your own numbers in the calculator above.

The Math Behind the Calculator

The formula is straightforward:

The recovery rate is the most variable input. It estimates what percentage of callers who reach an AI receptionist actually book, versus those who hang up or call back your own number anyway. Real rates vary by business type, call complexity, and AI quality. A conservative starting estimate is 20–25%; 30–35% is achievable for routine service calls with a well-configured AI. Do not use a recovery rate above 40% without evidence from a real trial.

Which Tool to Try Based on Your Numbers

Monthly net gain is clearly positive, you're on Jobber → Jobber AI Receptionist at $99/mo flat. Start a 14-day Jobber trial — AI Receptionist included. Zero integration setup. Monthly net gain is positive, you're not on Jobber → Smith.ai AI-only at $97.50/mo. Works with any scheduling platform. Check smith.ai for current trial options. Your calls are complex or high-value ($500+ per job) → Smith.ai live backup ($292.50/mo) or Ruby ($245+/mo). Human backup for complex calls protects more revenue than pure AI at high job values. Monthly gain barely covers the tool cost → Start with ChatGPT (free) instead. Fix admin time first, then revisit the AI receptionist decision in 90 days when you have better call data. Result is negative or very marginal → Your call volume or job value may not yet justify an AI receptionist at current pricing. Check: are your missed-call numbers accurate? Most operators undercount missed calls by 2-3x.

Frequently Asked Questions

How do I find out how many calls I miss per month?

Check your smartphone's missed calls log — most phones show the last 30 days. Also check calls that came in during jobs (where you answered briefly and then had to call back), calls received after business hours, and weekend calls. Most operators underestimate their missed-call count by a factor of 2–3 when estimating from memory versus checking actual logs.

What recovery rate should I use?

Use 20–25% as a conservative starting estimate for routine booking calls. An AI receptionist does not convert every call — some callers hang up when they realize it is AI, some have already booked with a competitor, and some were price shopping with no intent to book. A 25% recovery rate means 1 in 4 missed calls becomes a booked job. Operators who set up their AI well and have straightforward call types report higher rates; treat 35%+ as an optimistic scenario until you have trial data.

Does this calculator include the value of callbacks I was already making?

No. The calculator estimates the value of calls that currently go unanswered and unconverted — not calls you are successfully returning. If you are already calling everyone back within an hour and converting a high percentage, your true missed-call count (calls you cannot return in time to prevent the caller from booking elsewhere) is lower than your total missed calls. Use the number of calls you genuinely cannot return within 1 hour, not your total missed calls, for a more accurate input.

Should I include after-hours calls in my missed-call count?

Yes — after-hours calls are where AI receptionists deliver some of their clearest value. A caller who reaches voicemail at 9 p.m. on a Sunday and hears "we'll call you back Monday" often calls the next business on their list. An AI receptionist that answers at 9 p.m. and books the job immediately captures a booking that would otherwise be lost. Include all after-hours and weekend missed calls in your count.

What if my ROI calculation is negative?

A negative result means the expected recovered revenue does not cover the tool cost at your current inputs. Check two things: your missed-call count (most operators undercount by checking memory rather than logs) and your recovery rate assumption. Also check whether your average job value is accurate — if jobs vary widely, a higher-value job type may justify the tool even if the average is low. If the math genuinely doesn't work at your call volume and job value, an AI receptionist is not the right first AI tool. Start with ChatGPT (free) for writing time savings instead.

Ready to test it?

Both Smith.ai and Jobber offer trial periods. The calculator estimates — real data comes from your own call volume.

Smith.ai →

AI-only from $97.50/mo. Works with any platform. Check for current trial.

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Jobber →

14-day free trial includes AI Receptionist. Best for Jobber users.

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Smith.ai review →

Full review — catches, overage math, integration, who it's not for.

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Jobber AI review →

Full review — flat pricing, Jobber-only limitation, what users report.

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