---
title: "Booked Call Show Up Rate Benchmark: Real Numbers"
slug: booked-call-show-up-rate-benchmark
author: "Leonardo Maldonado"
category: "Data & Benchmarks"
articleType: data-research
tags: ["sales call no-show rate","how to calculate show-up rate"]
publishedAt: 2026-10-04T09:00:00.000Z
updatedAt: 2026-10-04T09:00:00.000Z
canonical: https://setluca.com/blog/booked-call-show-up-rate-benchmark
---# Booked Call Show Up Rate Benchmark: Real Numbers

> There is no single booked call show up rate benchmark for coaches, because published figures measure different things. A B2B scheduling platform counted 6.5% no-shows across 6,428 meetings; a review of 105 healthcare studies put the average missed-appointment rate near 23%. Your own number matters more than either, and it swings 20 points depending on which denominator you pick.

## Key takeaways

- No published dataset covers online coaches booking calls out of DM conversations. Every number you'll see comes from B2B software demos, healthcare clinics, or webinar registrations.
- The same month of calls can produce a 66%, 77%, or 86% show rate depending on how you treat cancellations and reschedules. Pick one formula and freeze it.
- The two variables with the strongest published evidence behind them are reminders and booking lead time. Both are things you control.
- Track show rate next to booking volume. A show rate that climbs while bookings fall is usually a filtering problem, not a win.

---

## What is a booked call show up rate benchmark, and why is it so slippery?

A show-up rate is the share of booked calls where the person actually turns up. A booked call show up rate benchmark is the reference number you compare yours against. The slippery part is the denominator. "Booked calls" can mean everything ever put on the calendar, or only the calls that survived to their scheduled time. Those two counts differ by a lot.

Nobody publishes coaching-specific figures. The nearest sets come from B2B software demos, outpatient clinics, and webinar sign-ups. Each measures a human deciding whether to keep a commitment made days earlier to a near-stranger's calendar, which is why the research transfers at all. None is measuring a fitness coach's 9pm Zoom, so treat those numbers as a shape rather than a target.

## How do you calculate your own show-up rate?

Count the calls, then decide what you're excluding before you divide. Here's an illustrative example. Marisa runs a nutrition practice and books discovery calls out of Instagram DMs. Her October calendar held **41 booked calls**:

- **27** attended at the time originally booked
- **5** never showed and never messaged
- **6** cancelled more than two hours ahead
- **3** asked to move and attended the new slot

Three defensible formulas fall out of those 41 calls:

| Formula | Arithmetic | Result |
| --- | --- | --- |
| Attended / all booked calls | 27 / 41 | 65.9% |
| Attended / (booked − cancelled) | 27 / 35 | 77.1% |
| (Attended + attended reschedules) / (booked − cancelled) | 30 / 35 | 85.7% |

Twenty points of spread, one month of data, no disagreement about the facts. Two coaches quoting show rates at each other are usually not having the same conversation.

Marisa reports two numbers. Her **held rate** is 65.9%, the share of everything she scheduled that ran at the time she booked it, the strictest of the three formulas above. Her **no-show rate** is 5 / 35, or 14.3%, counting only silent misses against calls that never got cancelled. The first tracks the business, the second isolates the failure she can fix.

## What show-up rates do published sources actually report?

| Source | What it measures | Population | Sample | Reported figure |
| --- | --- | --- | --- | --- |
| RevenueHero, No-Shows Benchmark (Dec 2024) | No-shows on booked meetings | B2B buyers using its scheduler | 6,428 meetings, one week, 15 industries | 6.5% no-show; 76.1% completed |
| Dantas et al., _Health Policy_ (2018) | Missed outpatient appointments | Patients worldwide | 105 studies reviewed | ~23% average; 13.2%-43.0% by region |
| Gurol-Urganci et al., Cochrane (2013) | Attendance with vs without reminders | Outpatients in randomised trials | 8 trials, 6,615 people | 67.8% -> 78.6% attendance |
| McMullen & Netland, _Clinical Ophthalmology_ (2015) | No-show by booking lead time | One US eye clinic | 46,655 appointments | 2.4%-38.3% by lead time |
| ON24 Digital Engagement Benchmarks (2026, 2025 data) | Registrant-to-attendee | B2B webinar registrants | "tens of thousands" of webinars; no count given | 60% |
| Chili Piper Benchmark Report (2025, 2024 data) | Form fill -> booked meeting | B2B demo requests | ~4 million form submissions | 66.7% booked |

The widest spread sits inside one dataset. RevenueHero's 6.5% hides industries running from zero misses to almost one in five.

Lollipop chart of no-show rates across seven industries from RevenueHero's December 2024 benchmark, ranging from 0 percent in healthcare to 18.1 percent in education and e-learning

No-show rate by industry across 6,428 booked meetings in one week. Source: RevenueHero, "No-shows benchmark in B2B industry," December 2024.

Education and e-learning sits at 18.1%, closer to a coaching audience than the software categories dragging the average down. Borrow that row, not the average. Our [DM reply-rate benchmarks for coaches](/blog/instagram-dm-response-rate-benchmark) are published as ranges for the same reason.

## Why can't you just average the published numbers?

Because they don't share a denominator, a unit, or a definition of failure. Averaging 6.5% and 23% produces a number that describes nothing.

Look at what each counts. RevenueHero's 6.5% counts no-shows against all 6,428 meetings in the window. Only 76.1% completed, so a large slice of that denominator was still scheduled or unresolved when they cut the data. Dantas and colleagues counted missed appointments in clinics where patients wait months and pay nothing to miss. ON24 counts a registration, which costs one form field, against live attendance. A webinar sign-up and a booked sales call are not the same promise.

Then there's who publishes. RevenueHero, ON24, Chili Piper, and Gong all sell tools that improve the metric they report on. Their platform data is real, and it also means the sample is customers of a scheduling product, already doing better than average before measurement starts.

## What actually moves show-up rate?

Three things have real evidence behind them, and you control all three: reminders, how far out the call is booked, and what time of day you offer.

### Text reminders lifted clinic attendance by eleven points

Reminders come first because the effect size is well established. A Cochrane review of eight randomised trials covering 6,615 people found attendance rose from 67.8% with no reminder to 78.6% with a text message reminder (risk ratio 1.14, CI 1.03-1.26). That's roughly eleven extra people per hundred booked, for one message. The mechanism is unglamorous. People forget, and a message in a channel they read fixes forgetting.

Read the confidence interval before you bank the eleven points. It runs from 1.03 to 1.26, so the lift is real but could be anywhere from slight to large. Those were outpatients too, and a clinic patient booked three months out has more time to forget than a lead who booked Tuesday for Thursday. What carries across is the direction.

### Short booking windows protect the call

Booking lead time comes second, and the effect is bigger than most coaches expect. McMullen and Netland tracked 46,655 appointments at a US eye clinic and watched no-shows climb as the gap between booking and appointment widened.

Grouped bar chart comparing no-show rates at two clinics for appointments booked within two weeks versus six months ahead, from McMullen and Netland 2015

No-show rate by booking lead time across 46,655 appointments. Source: McMullen MJ, Netland PA, "Lead time for appointment and the no-show rate in an ophthalmology clinic," Clinical Ophthalmology, 2015.

A six-month wait is not your problem. A six-day one might be. Every extra day between "yes, let's talk" and the call is a day the person's motivation cools and their week fills up. Book inside 48 hours where you can, which is why [DM response time and speed to lead](/blog/dm-response-time-speed-to-lead) belongs in the same conversation as show rate.

### The evidence on slot timing is thin enough to test rather than trust

Time of day is the weakest of the three, and I'll say plainly why. Gong reports that a 4pm slot gives roughly 30% greater odds of attendance than an 8am one. Weekend calls, on the same analysis, miss about four times as often as weekdays. Gong doesn't publish the sample size behind either figure, so treat that as a hint to test rather than a finding to build on.

There's a second problem with slot data, your own included. The people who choose 4pm are not the people who choose 8am. A parent doing the school run picks a different hour than a founder with a free afternoon, for reasons that have nothing to do with the slot. A gap between two blocks may be a difference between two kinds of lead. Testing is cheap: offer two fixed blocks, change nothing else, and compare held rates after 30 calls each. For most coaches that's a quarter, which is why this sits third.

## What should your confirmation and reminder messages say?

Two messages, both short, both sent in the thread where the call was booked. One confirms within minutes. One reminds the day before. That shape comes from the trials behind the eleven-point lift: one brief message, sent a day or two ahead, naming the time, landing on a phone they already check. Nothing in that evidence asks for a five-message sequence. A morning-of nudge might help as well. The research is silent on it, so test before you make it standard.

### The confirmation goes out while they're still in the chat

Send it in the same conversation, within a few minutes, while the decision is warm. It does three jobs: restates the time in their timezone, says what the call is for, and asks for a reply that costs one word.

> "Booked you in for Thursday 6pm your time, 30 minutes, on Zoom. I'll drop the link here the day before. Reply 'yes' so I know the time reads right on your end."

Asking for a one-word reply does the quiet work: someone who types a word back has taken part in the arrangement instead of receiving it. The reply is also your earliest signal, because silence on a confirmation shows up days before the miss does. If nothing comes back by morning, treat the slot as soft and ask once more.

### The reminder lands the day before, in the same thread

One reminder, roughly 24 hours out, in the channel where the conversation already lives. The Cochrane trials sent theirs to the phone, not an inbox. A lead who booked in Instagram DMs opens that thread far more often than email. Keep it to the time, the link, and a real way out.

> "Tomorrow, 6pm your time: [link]. If something's come up, say so now and I'll move it. No hard feelings either way."

The exit line is deliberate, and it costs less than it looks. A cancellation the night before frees the slot and keeps the conversation alive. A silent miss burns the hour and leaves you guessing. In Marisa's month above, those three moved-and-attended calls were worth seven points of her held rate.

## What show-up rate should a coach aim for?

Set your target from your own last 30 calls, not from a table. Then decide which problem you're solving, because the fix is different.

**Chase show rate** if you're booking plenty and losing them at the door: 20 or more bookings a month, held rate under 60%, misses arriving with no cancellation message. Fix reminders, shorten lead times, and add a confirmation exchange in the thread where they booked.

**Chase booking volume** if held rate is already above 75% and the calendar has gaps. A high show rate on eight calls a month is still a small business, and pushing it to 85% adds less than one conversation. The work is upstream, in [how to turn a DM into a sales call](/blog/how-to-turn-a-dm-into-a-sales-call).

**Do both** if held rate sits between 60% and 75% with fewer than 15 calls a month. The number is too noisy to steer by at that size, so improve mechanics and volume together for a quarter before reading the trend. The [pillar guide to closing clients in the DMs](/blog/how-to-close-clients-in-dms) covers the conversation side.

## Five named mistakes that make your show-up rate lie

**The Denominator Swap.** Reporting attended / 41 in January and attended / 35 in February, then celebrating the jump. Freeze the formula in writing before month two.

**The Silent Cancel.** Counting someone who cancelled two days ahead as a no-show. They kept their side of the deal by telling you. Cancellations get their own bucket, because the fix is qualification, not reminders.

**The Borrowed Benchmark.** Judging a coaching practice against a B2B software demo number, where the invite lands in a work calendar and attending is part of someone's job. The education row is a closer neighbour than developer tools.

**The Weekly Whipsaw.** Reading show rate on six calls. One miss moves the number 17 points. Report on a rolling block of 30 calls or not at all.

**The Vanity Filter.** Tightening qualification until only the near-certain get a slot, watching show rate hit 90%, and quietly booking half as many calls. Read show rate and booking volume together or not at all. [Lead qualification questions for coaches](/blog/lead-qualification-questions-for-coaches) filter for fit, not for convenience.

## Edge cases the benchmark doesn't cover

**The 12-minute-late arrival.** They joined, you talked, the call ran short. Count it as a show and note the lateness separately. If lateness clusters on one slot, the slot is wrong.

**The pre-call reschedule chain.** Two moves, both with notice, no attendance yet. Leave the call open in your tracker until it resolves rather than scoring it early.

**The 20-minutes-out reschedule.** Technically notice, practically a miss. Log it as a reschedule and watch whether it converts. Someone who moves once and attends behaves like a show; someone who moves twice behaves like a ghost. Our [ghost-rate benchmarks for coaching leads](/blog/lead-ghosting-statistics) describe that second pattern from the other side.

**The wrong-timezone booking.** They showed up at 3am their time and left. That's a booking-page defect, not a lead problem. Exclude it and fix the calendar.

**The double booker.** One person, two slots, one attended. Count the person once. Counting both inflates the denominator and hides the real rate.

## Why did your show-up rate suddenly drop?

A sudden drop usually means something upstream of the call changed, not that your leads got worse. A wider booking door, a longer lead time, or a reminder landing in a channel nobody reads will all move the number within a month. Find your symptom in the left column and work across.

| Symptom | Likely cause | Fix |
| --- | --- | --- |
| Rate fell after you added a booking link to your bio | Anyone can book now, including people who never had a conversation | Put one qualifying question between the link and the calendar |
| Misses cluster on calls booked 5+ days out | Lead-time decay, the pattern the ophthalmology data shows | Open slots inside 48 hours and hold two same-week spots back |
| Reminders send but nobody reads them | Reminder goes to email; the conversation lived in DMs | Send the reminder in the thread where the call was booked |
| Show rate healthy, close rate falling | You're booking the wrong people well | Tighten qualification, then re-read both numbers in 30 calls |
| Rate rising while bookings fall | Over-filtering at the top | Track bookings per 100 conversations alongside show rate |

## Where the number stops being useful

A show-up rate is a lagging summary of a hundred small judgment calls, and it can't tell you which one broke. The honest limit: a good human setter hears hesitation in a voice note and pulls the call forward to this afternoon before the doubt hardens. Software sends the confirmation on time and flags a lead who has gone quiet. It cannot hear a tone change and decide, on instinct, to abandon the script.

### Why you might want to review the confirmation message yourself

The gap between hearing hesitation and sending on time is why Luca lets you switch a channel to review instead of sending every reply automatically. Confirmation is where hesitation surfaces, when "actually, can we do next week?" arrives, and that reply can be worth the coach's eyes rather than a template. Switch review on and Luca drafts the confirmation and holds it for you to read, still replying at human pace on the channel the lead already uses. The option costs a little speed and can buy back the one conversation a month a template would have lost. There's more on the prevention side in our guide to [reducing no-shows on sales calls](/blog/how-to-reduce-no-shows-on-sales-calls). For the misses that happen anyway, [how many follow-ups it takes to book a call](/blog/how-many-follow-ups-to-book-a-call) picks up from there.

## Using the booked call show up rate benchmark from here

The useful version of a booked call show up rate benchmark is a method, not a number you copy. Count the same way every month, compare yourself to yourself, and change one variable at a time. Take them in the order the evidence ranks them. Reminders in the DM thread first, since that's the one with randomised trials behind it. Then a shorter booking window, then your slots. Give each change a full block of 30 calls before you read the result. The [discovery call script for coaches](/blog/discovery-call-script-for-coaches) is where the rate is really won.

Luca handles the qualifying, the confirming, and the rescue cadence when someone goes quiet, replying automatically in your voice -- switch any channel to review if you'd rather approve messages yourself. Plans are $99, $249, and $499 a month. [See what Luca costs](/pricing).


## FAQ

### What is a good show-up rate for coaching sales calls?

No published dataset covers online coaches, so there is no verified good number. Use your own last 30 calls as the baseline. If your held rate sits below 60% with steady booking volume, reminders and shorter lead times are the first two things to fix.

### What's the difference between no-show rate and show-up rate?

They are not always mirror images. Show-up rate counts attendance against booked calls. No-show rate usually counts silent misses against calls that were never cancelled. In RevenueHero's December 2024 report, 6.5% no-showed while only 76.1% completed, because the remaining meetings sat in other statuses.

### Do text reminders actually reduce no-shows?

Yes, with strong evidence behind it. A Cochrane review of eight randomised trials covering 6,615 people found attendance rose from 67.8% without reminders to 78.6% with text message reminders. Send the reminder in the channel where the person booked, not to an email address they never check.

### How far in advance should I let people book a call?

Keep the gap short. Research on 46,655 clinic appointments found no-shows rising sharply as booking lead time grew, reaching 38.3% for one population booked six months out. Offer slots inside 48 hours where your calendar allows it, and hold back two same-week spots.

### Should I count cancellations as no-shows?

No. Someone who cancels ahead of time told you, which is a different behaviour with a different fix. Track cancellations in their own bucket. Rising cancellations point to a qualification problem upstream; rising silent misses point to a reminder or lead-time problem.

### How many calls do I need before my show-up rate means anything?

Roughly 30. Below that, a single missed call moves the percentage by several points and you end up chasing noise. Report on a rolling 30-call window rather than by calendar week, and only act on a change that holds across two consecutive windows.

### Does the time of day I offer change show-up rate?

Possibly. Gong reports that a 4pm slot gives about 30% greater odds of attendance than an 8am one, and that weekend calls miss around four times as often as weekday ones. Gong doesn't publish the sample size, so test it on your own calendar before rearranging everything.


## Sources

1. [RevenueHero. "No-shows benchmark in B2B industry."](https://www.revenuehero.io/reports/no-show-benchmark-december-02-2024)
2. [Dantas LF, Fleck JL, Cyrino Oliveira FL, Hamacher S. "No-shows in appointment scheduling - a systematic literature review." Health Policy, vol. 122, no. 4, 2018, pp. 412-421.](https://www.sciencedirect.com/science/article/abs/pii/S0168851018300459)
3. [Gurol-Urganci I, de Jongh T, Vodopivec-Jamsek V, Atun R, Car J. "Mobile phone messaging reminders for attendance at healthcare appointments." Cochrane Database of Systematic Reviews, 2013, Issue 12, Art. No.: CD007458.](https://www.cochrane.org/evidence/CD007458_mobile-phone-messaging-reminders-attendance-healthcare-appointments)
4. [McMullen MJ, Netland PA. "Lead time for appointment and the no-show rate in an ophthalmology clinic." Clinical Ophthalmology, 2015.](https://www.dovepress.com/lead-time-for-appointment-and-the-no-show-ratenbspin-an-ophthalmology--peer-reviewed-fulltext-article-OPTH)
5. [ON24. "Webinar Benchmarks 2026: Key Takeaways" (2025 data).](https://www.on24.com/blog/key-takeaways-from-the-webinar-benchmarks-report/)
6. [Chili Piper. "2025 Benchmark Report on Demo Form Conversion Rates" (2024 data).](https://www.chilipiper.com/post/form-conversion-rate-benchmark-report)
7. [Gong Labs. "Worst Times to Schedule Sales Calls."](https://www.gong.io/blog/worst-time-to-schedule-sales-calls)

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Published by SetLuca, the company behind Luca.