What Is a Good Appointment Set Rate? Benchmarks by Industry

There is no single good appointment set rate, because “set rate” is measured against at least three different denominators. Against contacted leads, US car dealers averaged 32% on new-vehicle internet leads and 73% on phone ups (Foureyes, ~700 dealerships, H2 2023). Against every lead received, applying the same study’s 60% contact rate puts them near 19%.

At a glance:

• The number only means something with its denominator. Per lead, per contacted lead, per conversation and per dial are four different metrics that all get called “set rate”, and the top three rungs sit 3–4x apart.
• Only two industries have a set rate backed by a real dataset: US automotive retail (Foureyes, ~700 dealerships) and North American home services inbound calls (ServiceTitan, 3,000+ trade businesses).
• For B2B SaaS, real estate, mortgage, healthcare and the Australian market, no credible public set-rate benchmark exists. The figures circulating are vendor blog posts with no dataset, no sample size and no window.
• The most-cited “speed to lead” research does not measure appointments at all — it measured whether a rep had a conversation with a decision maker.
• Comparing yourself to a benchmark on the wrong denominator is the single most common way teams conclude they have a problem they do not have — or miss one they do.

What an appointment set rate is, and what it is not

An appointment set rate is the share of some population of prospects who end up with a booked, dated appointment in a calendar. The formula is trivial — appointments set divided by the population — and the entire difficulty is in the second term.

It is not a show rate: an appointment that is booked and then no-showed still counts as set. It is not a close rate. It is not a conversion rate in the marketing sense, which usually means form fills. And it is not the same as a “booking rate”, which in home services almost always means booked jobs per inbound phone call rather than per lead. If you want the number after no-shows are stripped out, that is appointment show rate, which is a separate metric with its own levers.

A set rate without a stated denominator is not a benchmark. It is a number.

What is a good appointment set rate? Published benchmarks by industry

This is every industry figure we could trace to a named dataset with a disclosed sample and period. Where the honest answer is that no such figure exists, the table says so rather than filling the cell.

Three caveats that matter more than the numbers. The ServiceTitan figure is June 2022 data, so treat it as a shape rather than a current reading. The April 2025 Foureyes update states no denominator at all: it says “74% of phone leads turned into dealership appointments”, and the phrase “contacted leads” does not appear on that page — so it cannot be placed on the same rung as the 2023 study, and read per lead its 40% would be more than double the 19.2 per 100 leads we derive from the same publisher two sections below. Applied honestly, our own rule says hold that update loosely. And the H2 2023 automotive study is the only entry in the table where the publisher states the denominator plainly — which brings us to the actual problem.

The denominator ladder: why two teams quoting “40%” can be 3x apart

The same booking event can be divided by four different populations. We call this the denominator ladder, and the rule that goes with it is: the higher up the ladder a quoted set rate sits, the bigger the number, and the less it tells you about the money.

Rung 3 and rung 2 are the pair that causes the damage, because both are commonly called “set rate” and both produce numbers in a believable range. A team on rung 2 at 19% and a vendor on rung 3 at 32% are describing identical performance. Add rung 4 and the same performance reads as 73%.

The confusion is not confined to sloppy teams. The same Foureyes study is published in two places with two different denominators for the same metric: the study page defines appointment set rate as appointments “divided by contacted leads in the same timeframe”, while the accompanying press release prints it as “divided by total appointments set in the same timeframe”, which is circular and matches the definition given directly beneath it for show rate. The study page is the one to use. We flag it not as a criticism of a genuinely useful dataset, but because if the best-documented set rate in any industry can ship with two denominators attached, an unsourced figure in a sales deck deserves no benefit of the doubt.

If you only remember one thing from this page: ask which rung, before you accept the number.

Worked example: putting a published benchmark on your denominator

Foureyes is unusually useful here because it publishes a contact rate alongside the set rate, so the two rungs can be reconciled. For new-vehicle internet leads in the second half of 2023 it reported a contact rate of 60% (of total leads) and an appointment set rate of 32% (of contacted leads).

Converting rung 3 to rung 2:

• Contact rate 60% × set rate 32% = 19.2 appointments per 100 leads received.
• Used vehicle, internet: 64% × 41% = 26.2 per 100 leads.
• New vehicle, phone ups: 73% × 73% = 53.3 per 100 calls received.
• Used vehicle, phone ups: 79% × 81% = 64.0 per 100 calls received.

The honest limitation: Foureyes reports both rates over the same window rather than tracking one cohort of leads through both steps, so the multiplication is an approximation rather than an audited funnel. It is still the right order of magnitude, and it is the only way to compare a dealership benchmark against a team that counts per lead.

Run the same reconciliation on the B2B side and you hit the wall directly. Bridge Group’s medians give 4.1 quality conversations per rep per day, which is about 86 a month on 21 working days, against a median monthly quota of 10 held meetings. Even if every rep hit quota — and only 60% do — that is roughly 12 held meetings per 100 quality conversations. Held is not set, so the true set rate is higher, and it is not published anywhere. That arithmetic crosses two separately-reported medians from one survey; it is a sanity check, not a benchmark.

Where no credible public benchmark exists, and what the famous research actually measured

The set-rate figures that circulate for B2B, real estate, mortgage and coaching all trace back to vendor blog posts. We followed them: none disclosed a sample size, a dataset or a measurement window, and several quoted each other in a loop. That is not a benchmark, and publishing a range on that basis would be inventing one.

It is also worth knowing what the most-cited study in this whole field measured, because it is not appointments. Harvard Business Review’s The Short Life of Online Sales Leads (Oldroyd, McElheran and Elkington, March 2011) audited 2,241 US companies and found the average response time, among those that responded within 30 days, was 42 hours — and 23% never responded at all. Its famous multiplier came from a separate study of 1.25 million leads across 29 B2C and 13 B2B companies: firms contacting within an hour were “nearly seven times as likely to qualify the lead” as those that waited an hour longer, and more than 60 times as likely as those waiting 24 hours or more.

Read the parenthesis in the original: the authors defined qualifying a lead as “having a meaningful conversation with a key decision maker”. That is rung 4 on the ladder, not an appointment. The study is genuinely well constructed and genuinely relevant — response speed moves contact rate, and contact rate is the multiplier between rung 3 and rung 2 — but it is not a set-rate benchmark, and one of its three authors was then chief executive of a vendor selling response-speed software. We keep the full source list, with the archive links, on our verified AI appointment setting statistics page, and the Australian response-time picture on our lead response time benchmarks for Australia.

When does a good set rate change? The conditions that move it more than industry does

Industry is a weak predictor. These five conditions move a set rate further than the vertical does, which is why a cross-industry table is a starting point and not a target.

• Channel. In the Foureyes data, phone ups set at more than double the rate of internet leads on identical inventory at the same dealerships. Same industry, same period, 2x.
• Coverage hours. ServiceTitan found large shops booking 61% of calls at peak and 21% after 6pm; small shops 26% falling to 9%. A set rate is partly a roster.
• Lead age. A lead worked at four minutes and a lead worked at four days are not the same population, regardless of what the CRM calls them.
• Qualification tightness. Tightening the criteria lowers set rate on purpose. A falling set rate alongside a rising close rate is usually a system working, not failing.
• Whether no-shows are netted off. Some teams quietly report held meetings as “set”. Size the effect from the same Foureyes study: it publishes appointment show rates of 56% on new-vehicle internet leads, 50% on used, 62% on new phone ups and 63% on used. On those show rates, a team reporting held meetings as “set” prints a number 37–50% below its own set rate.

When a reached prospect does not book, it is nearly always one of four things, and each is a symptom rather than a cause: no urgency (wrong timing or wrong list), no authority (right company, wrong person), no clear next step (the offer of a meeting was vague), or no available slot that suits them. Working out which one applies to your numbers is a diagnostic exercise, not a benchmarking one, and it needs your own call recordings rather than an industry table.

What to ask a vendor who quotes you a set rate

If you are evaluating an appointment-setting provider, the quoted set rate is close to meaningless until you have five answers. Ask for them in writing, before the pilot.

That last row is where pricing model and metric definition stop being separate questions. On a retainer, the set rate is a report; on a pay-per-appointment arrangement rather than pay-per-lead, the definition of “appointment” is the contract, which is why it gets written down properly. Our own AI appointment setting service is priced on booked qualified appointments for that reason, and the definitions behind every performance figure we publish are set out on our measurement methodology page.

Why we do not publish a single company-wide set rate

We have booked 50,769+ AI-set sales appointments since 2017 and generated more than a million leads. Divide one into the other and you get roughly 5%, and we do not publish that number, because it would be dishonest. The two counters are not a matched numerator and denominator: they cover different clients, different date ranges and different scopes of work, and some of those leads were generated for clients whose appointments we never set. A ratio built from two unrelated totals looks like a benchmark and carries no information.

We are stating that plainly because it is the same test we are asking you to apply to everyone else. Any vendor can produce a five-percent-looking figure by dividing their largest number into their other largest number. The question that separates a measurement from a marketing artefact is whether the numerator and the denominator describe the same population over the same window.

On the value of moving the number at all: in our own client work we typically see that doubling a set rate roughly doubles booked revenue from the same traffic, and that fixing speed to lead alone is worth around 3x on its own. Those are our operator observations from running these campaigns, not a study, and there is no published sample behind them. They also do not multiply. 3x and 2x do not make 6x, because the levers overlap — responding faster is part of how contact rate rises, and contact rate is part of how set rate rises. Anyone quoting you stacked multipliers that reconcile perfectly is quoting arithmetic, not results.

Set rate is one link in a longer chain, and the denominator problem repeats at every link. Our sales pipeline stages hub indexes each stage — lead, contact, appointment set, show, proposal, close — with the metric that measures it and the failure mode that hides inside it.

Frequently asked questions

Is a 10% appointment set rate good?

It depends entirely on the denominator. Ten appointments per 100 leads received is a reasonable outbound result for a cold list. Ten per 100 live conversations is poor by any published comparison: Foureyes measured 32% of contacted new-vehicle internet leads converting to a set appointment across roughly 700 US dealerships in the second half of 2023, and 73% for phone ups.

What is a good appointment set rate for a car dealership?

Automotive is the one vertical with a real dataset behind it. Foureyes benchmarked roughly 700 US dealerships across the second half of 2023 at 32% set rate on new-vehicle internet leads and 41% on used, both measured against contacted leads, with phone ups at 73% and 81%. Its April 2025 update put internet leads at 40% and phone at 74%, but that update states no denominator, so it cannot be compared directly with the 2023 figures.

Is appointment set rate the same as conversion rate?

No. Conversion rate in a marketing report usually means visitors who submitted a form. Set rate starts after that, from leads or conversations, and ends at a dated appointment. A page can have an excellent conversion rate and a terrible set rate, which is the most common shape we see in accounts spending heavily on paid traffic.

What is a good set rate for cold B2B outbound?

There is no credible published benchmark. The nearest dataset-backed reference points are from The Bridge Group’s survey of 351 B2B companies in 2024 and 2025: a median monthly quota of 10 held meetings per SDR, 4.1 quality conversations per rep per day out of 112 total activities, and only 60% of reps hitting quota. None of those is a set rate, and treating a quota as a benchmark confuses a target with an outcome.

Does a higher set rate always mean more revenue?

No, and this is the trap in benchmarking the metric on its own. Loosening qualification raises set rate and lowers show rate and close rate at the same time. The only combination worth optimising is appointments held with qualified buyers, which is set rate multiplied by show rate multiplied by the share that met the qualification standard.

Why do home services quote such high booking rates?

Because the denominator is an inbound phone call from someone with a broken hot water system, not a cold lead. ServiceTitan measured a 42% average call booking rate across more than 3,000 US and Canadian trade businesses in June 2022, ranging from 43% in plumbing to 31% in garage door and water treatment, and from 24% at shops with fewer than five technicians to 59% at shops with 25 or more.