A no-show is the cheapest way to lose a deal, because you never had the deal in the first place. The demo got booked, the slot went on two calendars, the pipeline number ticked up, and then nobody joined.
Mystery Demo books competitors’ demos as a credible buyer and records everything from the first click to the last call, including how long until anyone replies, how far out the slot lands, and what the vendor does to make sure the buyer turns up.
We collected the most useful SaaS demo no-show statistics we could source, from booking platforms that count held meetings, sales-call datasets and the clinical research on missed appointments, each footnoted to its study. The short version: most of the levers that move a no-show rate belong to the seller, and most of them are scheduling choices made before the buyer decides anything. If you only keep a handful of these, keep these:
One in Seven Booked Demos Never Happens
Start with the number everyone guesses at and few measure. Across 18 weeks of RevenueHero data in 2025, companies booking 50 or more meetings a month posted a median no-show rate of 13.5% and an average of 15.9%, while the top 10% held at 5.5% and the best at 3.1%2.
That is roughly one booked demo in seven. Cognism’s own SDR teams land in the same place from the other side: of 39,679 outbound meetings booked, 34,336 were held, at an average held rate of 85.94%3.
Split by the size of the company doing the selling, the rates invite a flattering explanation, that bigger sellers simply attract more serious buyers:
| Seller segment | Average no-show rate | Median | Best performer |
|---|---|---|---|
| SMB | 16.1% | 13.2% | 5.0%2 |
| Mid-market | 17.3% | 15.0% | 4.3%2 |
| Enterprise | 7.8% | 6.8% | 3.1%2 |
The source reads it otherwise. In RevenueHero’s words, enterprise companies hold the cleanest rate largely because they have already invested in reminder, routing and qualification infrastructure, the machinery smaller teams skip.
The industry split is wider still. In one week of 6,428 meetings booked through RevenueHero in December 2024, 419 of them, or 6.5%, ended in no-shows1, but by the selling company’s industry the rate ran from none at all in healthcare and 1.2% in developer tools to 18.1% in education software1.
Read that way, a no-show rate says as much about the seller’s process as about the buyer, which is where the rest of the numbers point.
The No-Show Clock Starts at Booking
The clearest pattern in the data is the wait. Every day between the booking and the call is a day for the intent to cool and the calendar to fill.
Cognism’s SDR teams found that meetings booked more than four days out showed up only 60% of the time3. Their fix was a three-step sequence:
With it, in one SDR manager’s account, show rates rose from about 60% to 72% and today average 80 to 82%3.
The most-studied no-show problem on earth is medicine, and it reports the same shape. Across 1,260,083 appointments in a rural US health system in 2021, the overall no-show rate was 6.0%11, and it climbed with the booking gap, from 4.31% for visits booked within 15 days to 7.73% for those more than 60 days out11.
It is the same shape in a completely different world: the longer the wait, the fewer people show up. A demo booked for next Thursday competes with everything that lands in the buyer’s inbox before Thursday, and the buyer almost never wins that fight on your behalf.
Speed to Lead Is the Whole Game
The wait starts the second the buyer raises a hand, before any booking exists. This research measures reaching and qualifying a lead rather than attendance, but it is where the wait begins, and it is old, consistent and brutal:
| Response window | What changed | Measured on |
|---|---|---|
| 5 minutes against 30 | the odds of reaching the lead were 100 times higher, of qualifying it 21 times6 | web leads at six companies (MIT and InsideSales, 2007) |
| The first hour | the odds of reaching the lead fell more than 10 times, of qualifying it more than 6 times6 | web leads at six companies (MIT and InsideSales, 2007) |
| The first 5 minutes against 5 minutes to 24 hours | conversion more than 8 times higher7 | 5.7 million inbound leads (InsideSales, 2021) |
Almost nobody hits the window:
Vendors of 101 to 250 people, the largest group in that test, show where the time goes: 13% replied within five minutes and 21.7% never replied at all8.
The gap between the research and the vendors is the entire opportunity. The studies say reply in five minutes; in Chili Piper’s test the vendors that replied took nearly five hours, and InsideSales found most first call attempts came more than a week after the lead.
That gap is a queue problem, not a buyer problem, and it is the first thing we clock on a competitor: how long the silence lasts after we raise our hand.
.png)
A Shorter Slot and a Later Hour Keep More Buyers
Once the meeting is booked, three almost embarrassing details move the outcome: the length of the slot, the hour on the clock, and the day of the week. None of them require a better product.
| Scheduling choice | Effect on showing up | Measured on |
|---|---|---|
| A 30-minute first meeting instead of 60 | 12% more likely to show5 | 30,000 first calls (Gong, 2017) |
| A 4 p.m. call instead of 8 a.m. | 30% greater odds of showing4 | Gong scheduled calls (2017) |
| A weekend call instead of a weekday | about 4 times the no-show rate4 | Gong scheduled calls (2017) |
None of this is strategy. A shorter slot is a smaller ask, so more people keep it, and an afternoon call sits past the morning chaos that buries early meetings.
Nothing here is magic about 4 p.m. Make the meeting cheap to keep, and more buyers keep it.
Reminders Are Nearly Free Money
The last lever is the one almost everyone underuses, probably because it feels too cheap to count. Reminding people about the meeting they booked works, and it works at a scale that would be embarrassing to ignore:
The randomized-trial number is worth keeping even though it comes from a clinic, because it undercuts the usual excuse: that a human call feels more serious than an automated text, so it must work better. The trial judged the two methods similar, and the automated one costs less and never forgets.
Stack the levers and the picture is consistent. A no-show rate is largely the sum of small choices the seller already made: how fast they replied, how soon the call was, how long the slot ran, and whether anyone reminded the buyer.
What a Rival’s Booking Clock Shows
All of this is visible from the outside, because a rival’s booking steps happen in front of the buyer.
What no benchmark gives you is the timeline on your competitor: the response speed, the scheduling lag, the reminder cadence, and every point where a rival makes the buyer wait before the call. Our competitor sales tactics research records each of those as the buyer and grades them on one board. Set beside your own booking data, it shows which step makes a buyer wait longer with you, and the rival’s confirmations and reminders become guidance for your reps that your own show rate can then test.
Below is the sales scorecard from our public example board, where the company and every competitor are invented. Responsiveness is the first grade in each row, and on a real project that grade comes from timing each vendor’s replies and booking steps.
Have us book the call and start the clock: how fast they reply, how long until the slot, and how hard they work to keep it.
Frequently Asked Questions
What is a normal demo no-show rate in B2B SaaS?
13.5% is the median among companies booking 50 or more meetings a month, with an average of 15.9%2.
What is a good demo no-show rate?
5.5% or below puts a team in the top 10%, and the best reach 3.1%2.
Do enterprise sellers have fewer no-shows than SMB sellers?
7.8% is the average for enterprise companies booking through RevenueHero, against 17.3% for mid-market and 16.1% for SMB2.
How much do no-show rates vary by industry?
18.1% in education software against none in healthcare, in one week of 6,428 booked meetings1.
What share of booked sales meetings are held?
85.94% was the average held rate across 39,679 booked outbound meetings in Cognism’s data3.
Does booking a demo further out increase no-shows?
60% was the show rate for meetings booked more than four days out3, and in healthcare the no-show rate rises with every step of lead time11.
How fast do vendors answer a demo request?
4 hours 50 minutes on average among vendors that replied, with 7% replying within a minute8.
Does meeting length affect the show rate?
12% more prospects show up to a 30-minute first meeting than to a 60-minute one5.
Does the time of day affect the show rate?
30% greater odds of the prospect showing at 4 p.m. than at 8 a.m.4, while weekend calls no-show at about four times the weekday rate4.
Do automated reminders reduce no-shows?
28% fewer no-shows on average, in Calendly’s figures for its own sales users with automated reminders9.
Are automated reminders as good as a human call?
11.7% of patients missed appointments after text reminders against 10.2% after phone calls, a gap the trial judged similar12.
References
- RevenueHero: No-Show Benchmark in B2B (2024)
- RevenueHero: How to Reduce No-Show Rates in B2B Sales Calls (2025)
- Cognism: State of Outbound 2026
- Gong Labs: The Best and Worst Times to Schedule Sales Calls (2017)
- Gong Labs: Determining the Ideal Duration of a First Sales Call (2017)
- MIT and InsideSales: The Lead Response Management Study (2007)
- InsideSales: Response Time Matters (2021)
- Chili Piper: Average B2B Vendor Response Times (2022)
- Calendly: How to Decrease Sales No-Show Rates (2020)
- Chili Piper: 8 Simple Tricks to Improve Your Show Rates (2020)
- BMC Health Services Research: Development of an Evidence-Based Model for Predicting Patient, Provider, and Appointment Factors That Influence No-Shows in a Rural Healthcare System (2023)
- BMC Health Services Research: Text-Messaging Versus Telephone Reminders to Reduce Missed Appointments (2013)
.png)
