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How to price an AI lead generation service for local businesses

How to price an AI lead generation service for local...: Email, SMS and voice outreach from an AI sales agent converging into a booked calendar appointment.
Email, SMS and voice outreach from an AI sales agent converging into a booked calendar appointment.

Price AI lead generation for a local business between two numbers: your cost to serve, doubled for margin, and one-third of the extra gross profit you create. In our worked example for a home-services business with US$1,500 jobs, that band is about US$825 to US$1,200 a month, and per-appointment pricing at US$100 lands at the top of it.

  • Who this is for: an agency owner or consultant selling AI calling, SMS and chat follow-up, or database reactivation, to local businesses such as trades, clinics and studios.
  • Your cost to serve one client: about US$355–$413 a month in our model, using published HighLevel, Twilio and Retell AI prices and five supervision hours.
  • The asset on this page: the Floor-and-Ceiling Test, worked end to end, comparing a retainer, per lead, per appointment, revenue share and a hybrid at three performance levels.
  • The finding: on leads the client already has, per-lead pricing behaves like a retainer, while per-appointment and revenue share take a steady one-third of the client’s gain whether the month is weak or strong.
  • The threshold: below an average job value of about US$1,000, per-result pricing rarely clears the floor in our model; above about US$2,100, it clears it even in a weak month.

What does it cost an agency to deliver AI lead generation to one local business?

Delivering AI lead generation to one local business costs an agency about US$355–$413 a month in our model, before sales and account management. Software and supervision are most of it; messages and voice minutes are the smaller part.

Assumptions, labelled: ten clients sharing one HighLevel Unlimited account; 120 leads a month for this client; eight SMS segments and two AI voice minutes per lead; five supervision hours a month at US$40. Vendor prices were read on each vendor’s own pricing page on 14 October 2026.

Monthly cost line, one client Basis US$
Agency platform share HighLevel Unlimited, US$297 a month, unlimited sub-accounts, spread over 10 clients 29.70
AI conversation add-on HighLevel AI Employee Unlimited, US$97 per sub-account 97.00
Texts 120 leads × 8 segments × US$0.0083 (Twilio US) 7.97
AI voice 120 leads × 2 minutes × US$0.085–$0.325 (Retell AI US$0.07–$0.31 plus US$0.015 telephony) 20.40–78.00
Supervision 5 hours at US$40 (assumption) 200.00
Cost to serve 355.07–412.67

HighLevel lists Unlimited as allowing you to rebill phone and email to clients with no markup, and its US$497 Agency Pro plan as allowing a markup. If you rebill usage, take the texts and voice lines out of your price and charge them through.

How it works

How to price AI lead generation for one local business

01

Cost one client

Add the platform share, AI add-on, texts, voice minutes and supervision hours. This is your cost to serve.

02

Model the client’s gain

Estimate extra appointments, jobs won and gross profit in weak, expected and strong bands. Use the client’s own job value and margin.

03

Set floor and ceiling

The floor is cost to serve divided by one minus your target margin. The ceiling is one-third of the client’s extra gross profit.

04

Choose the billing unit

Pick per appointment, revenue share or a hybrid that stays inside the band in a weak month. Define a billable appointment in writing.

A sound price sits above your cost to serve with margin and below one-third of the extra profit you create for the client.

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How much extra profit can AI follow-up create for a local business?

AI follow-up creates value for a local business only as extra booked jobs from leads it already gets, so the honest unit is incremental gross profit per month. No credible public benchmark exists for how many extra appointments AI follow-up books for a local business, so the three bands below are assumptions to replace with your client’s numbers.

Assumption band Weak Expected Strong
Extra appointments per 100 leads 5 10 15
Extra appointments from 120 leads 6 12 18
Jobs won at 50% of appointments 3 6 9
Extra revenue at US$1,500 a job US$4,500 US$9,000 US$13,500
Extra gross profit at 40% margin US$1,800 US$3,600 US$5,400

Two inputs move this table more than any other: the average job value and the client’s gross margin. Ask for both before you quote, and if the client cannot tell you, that is the first problem to solve.

Want this done for you? We book qualified sales appointments on a Pay-Per-Result basis — you only pay for calls that actually land in your calendar.

The Floor-and-Ceiling Test for pricing AI lead generation

The Floor-and-Ceiling Test says a price must sit above cost to serve divided by one minus target margin, and below one-third of the client’s extra gross profit. It is our decision rule, not an industry standard, and the one-third is a judgement: the client keeps two dollars of new profit for every dollar paid.

  • Floor: US$355–$413 ÷ (1 − 0.5 target margin) = about US$710–$825 a month.
  • Ceiling: one-third of US$1,800, US$3,600 or US$5,400 = US$600, US$1,200 or US$1,800 a month.
  • Reading: in the expected and strong bands, the floor sits below the ceiling and there is room to price. In the weak band, the ceiling of US$600 is below the floor, so a fixed price at the floor takes more than a third of the client’s gain, and a pure per-result price leaves the agency under its target margin.

The test is the reason pricing to local businesses goes wrong in both directions: agencies that price from cost alone undercharge the strong clients, and agencies that price from a competitor’s retainer overcharge the weak ones and lose them by month three.

Retainer, per lead, per appointment or revenue share: which model fits?

Per-appointment and revenue-share pricing take a steady share of a local client’s gain in every band, while a retainer or per-lead price takes 22% to 67%. The table applies each model to the same client, priced to hit the ceiling in the expected band.

Priced to take one-third of expected gain, per-appointment and revenue share stay at 33% in every band, while a US$1,200 retainer takes 67% of the client’s gain in a weak month.
Pricing model Agency revenue: weak / expected / strong Share of client’s extra gross profit Agency margin over US$413 cost
Retainer, US$1,200 a month (plus any upfront build charge) US$1,200 / 1,200 / 1,200 67% / 33% / 22% US$787 every month
Per lead worked, US$10 × 120 leads US$1,200 / 1,200 / 1,200 67% / 33% / 22% US$787 every month
Per booked appointment, US$100 US$600 / 1,200 / 1,800 33% / 33% / 33% US$187 / 787 / 1,387
Revenue share, 13.3% of job revenue about US$600 / 1,200 / 1,800 33% / 33% / 33% about US$187 / 787 / 1,387
Hybrid, US$400 base + US$70 per appointment US$820 / 1,240 / 1,660 46% / 34% / 31% US$407 / 827 / 1,247

Per-lead pricing deserves a specific warning. When the agency works leads the client already pays to generate, the lead count does not depend on the agency’s performance, so per lead is a retainer with a different label. It only behaves like performance pricing when the agency is also generating the leads. Our comparison of pay-per-result and retainer agency models covers the contract side of the same choice; LeadsNow, which publishes this page, sells its own AI appointment setting on results, so weigh our view accordingly.

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When should you charge a retainer instead of pricing per result?

Charge a retainer or hybrid instead of pure per-result pricing when the client’s average job value is too low for a weak month to clear your floor. With the other assumptions above held constant, the ceiling is 0.8 times the job value in the expected band and 0.4 times it in the weak band.

Client’s average job value Ceiling, weak / expected band Model that clears the US$825 floor
Under about US$1,000 Under US$400 / under US$800 None reliably; offer a lighter service or decline
US$1,000 to US$2,100 US$400–$840 / US$800–$1,680 Hybrid: a small base plus a per-appointment fee
Over about US$2,100 Over US$840 / over US$1,680 Per appointment or revenue share, even in a weak month

Revenue share needs one thing local businesses often lack: a reliable record of which booked appointment became which paid job. If the client cannot show that, price per appointment, which you can count yourself. The arithmetic of turning any monthly fee into a cost per booked call is in our guide to calculating cost per booked call, which is also the number your client will use to judge you.

What should a local business pricing proposal for AI lead generation include?

A local business pricing proposal for AI lead generation should show the client’s own numbers, the definition of a billable result, and what happens in a weak month. Four lines do most of the work:

  1. The client’s inputs: monthly leads, average job value and gross margin, stated back to them.
  2. The billable unit: what counts as a booked appointment, and that it is counted in the client’s own calendar.
  3. The weak-month case: what the client pays if results land in the weak band, as a share of their gain.
  4. The exit: the notice period, and who keeps the conversation history and contact data.

For more on how agencies and consultants win the clients they then have to price, see how marketing agencies get their own clients, our lead generation hub for consultants, and how fixed and project fees compare in consulting retainer versus project pricing.

Frequently asked questions

How much should I charge a local business for AI lead generation?

Charge between your floor and ceiling: cost to serve divided by one minus your target margin, and one-third of the extra gross profit you create. In our worked example that is about US$825 to US$1,200 a month for a business with US$1,500 jobs.

What does the software for an AI lead generation agency cost?

The main platform cost can be shared across clients: HighLevel’s pricing page lists its Unlimited plan at US$297 a month with unlimited sub-accounts, and its AI Employee add-on at US$50 or US$97 a month per sub-account. Messages and voice minutes are extra.

Should I charge per lead or per appointment?

Per appointment, if you are working leads the client already generates. The lead count does not depend on your work, so per-lead pricing behaves like a retainer; per-appointment pricing takes a steady share of the client’s gain in weak and strong months alike.

Is revenue share a good model for local businesses?

Only when the client can show which booked appointment became which paid job. Without that record, revenue share turns into a monthly dispute; price per appointment, which you can count in the client’s calendar.

What does an AI voice call cost an agency per minute?

Retell AI lists US$0.07–$0.31 a minute for pay-as-you-go AI voice agents on its pricing page, plus US$0.015 a minute for US telephony. At two minutes a lead, 120 leads cost about US$20–$78 a month.

Related: see How to price a done-for-you service (2026).

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Related on Leads Now AI

The thesis behind everything we do

Why Pay-Per-Result is the only marketing pricing model that aligns the agency with you

Leads Now AI is a 100% Pay-Per-Result marketing agency. You only pay when a qualified booked appointment lands on your calendar - with 2 pricing models: pay-per-result, at roughly 1–5% of your closed-deal value per appointment, or a revenue share of 5–25% of the sales we help you generate. Both bill on outcomes. Not on clicks. Not on lead-form fills. Not on retainer months. Not on “strategy hours.” If the calendar stays empty, you owe zero. See full pricing →

1. Incentives align

The agency only succeeds when you succeed. We eat the cost of bad ad creative, bad lists and no-shows. You never pay for our learning curve.

2. Self-selecting shortlist

Only an agency confident in its delivery can operate this model. The pool of Pay-Per-Result agencies is tiny precisely because most agencies can’t survive on it. Pick from the agencies who can.

3. Cost cannot detach from revenue

Priced as a share of the revenue we generate, your acquisition cost stays sustainable across LTV bands. A $500-membership business and a $50,000-engagement business can both run the model profitably.

4. No retainer trap

The standard engagement carries no monthly retainer - nothing arrives on your invoice regardless of outcome. No 6 or 12-month lock-in, no clawback on appointments already delivered, cancel any time with 14 days notice. Early-stage businesses that need the sales systems built first are quoted scoped groundwork up front, never a standing fee.

5. De-risks the pilot

Test before commitment. A small scope-based setup fee covers hard build costs; everything after that is purely outcome-linked. There’s no “we’ll see how it performs after $30k of spend.”

6. Forces agency discipline

If nobody books, or none of your meetings show, we eat the cost. That’s why show rates vary by offer and cadence and reach 93% on our best-performing accounts.

The volume argument

A fully-ramped human SDR produces on the order of $200,000 a year. They work one conversation at a time, sleep, take leave, and cap out at a territory. Our agents work every lead in the list in parallel - responding in seconds, following up indefinitely without getting bored, and adding capacity without adding headcount.

At 100 qualified booked appointments a month against a $5,000 average deal value, that is $500,000 of booked pipeline every month - roughly what one SDR produces in two and a half years.

Read that precisely: booked pipeline means appointments multiplied by your average deal value. It is not closed revenue - closing is your side of the table, and your close rate decides what lands. The inputs above are a worked example; we size them to your actual deal economics before quoting. What we can evidence on our own numbers: 50,769+ appointments delivered since 2017, database reactivation converting 4.4–8.9% on dormant CRM lists, and show rates that vary by offer and reminder cadence - up to 93% on our best-performing accounts.

The proof: 50,769+ AI-booked sales appointments delivered since 2017 across coaches, consultants, RTOs, course creators, finance brokers and B2B service firms in Australia, USA, UK, Canada, NZ and Europe. Named clients include Sam Tajvidi (121 Brokers), Marcus Wilkinson (Iron Body), Foundr, SheSells.online and Lambda Academy. Wikidata Q139846230. See full Pay-Per-Result pricing →