Demo show rate by industry in

A demo show rate should mean attended eligible demos divided by booked eligible demos in a defined cohort. It should not mean demos booked divided by form submissions, or qualified opportunities divided by demos held. Before comparing sectors, define which meetings count as a demo, whether a rescheduled event stays in the original booking cohort and which company-industry field you trust.

1. What the original B2B meeting dataset does and does not say

Growth Cab says its source comprises 1,380 B2B sales meetings booked by 11 business developers for 25 B2B clients between September 29, 2024 and September 18, 2026, with a known outcome for every meeting✓ . The market was mostly Italian and European companies, and the largest client contributed 22% of meetings✓ . Those details matter: the sample is agency-booked meetings concentrated in a particular geography and client set, not a random sample of every B2B industry. 1

Across the full denominator of 1,380 booked meetings, 69.6% took place, 14.6% were no-shows, 11.0% were rescheduled and 4.7% were cancelled by the prospect✓ . The author's definition of 'took place' is simply that the meeting happened, including held meetings later judged off-target✓ . A no-show means the prospect did not appear at the booked time. A reschedule means the meeting did not happen then but moved to another date; a cancellation is a confirmed meeting later cancelled by the prospect✓ . These are separate statuses, not interchangeable labels. 1

The study's published aggregate tables do not contain industry rows✓ . Assigning its 69.6% overall result to SaaS, healthcare, manufacturing or any other sector would be fabrication. It also does not isolate product demos from other sales-meeting types. You can use it as a dated comparison for agency-booked B2B meetings in a mostly Italian and European market, but not as an industry-specific demo benchmark. 1

2. Define booked, attended and no-show at the event level

First, decide what makes an event a product demo. One defensible internal rule is a scheduled session whose primary purpose is showing a product or solution to an external buyer. Exclude internal rehearsals, customer onboarding, implementation training and generic discovery calls unless your business explicitly includes them. Store a meeting-type field at booking time; do not infer it later from a free-text title.

Second, choose the denominator. Count each eligible original booking with a scheduled date in the reporting period, and freeze the cohort after an agreed data-cleanup window. A booking confirmed by a buyer but later moved is still an original booking. If you want a separate eventual-attendance rate, create that as another measure; do not quietly replace the initial event with its later date. Growth Cab distinguishes a meeting that took place from one moved to another date, illustrating why this decision changes the rate✓ . 1

Third, confirm attendance with a reliable outcome record. Calendar creation alone proves a slot existed, not that the buyer arrived. Record the external attendee's presence and whether the seller delivered the demo. If a meeting started but ended almost immediately because no decision-maker appeared, define whether that counts as held before you see the numbers. Document the rule so two account executives do not classify the same event differently.

A compact event schema needs booking ID, original scheduled time, actual start time if held, account ID, buyer industry, meeting type, booking source, seller, outcome, rescheduled-to ID, geography and outcome-review date. Calendly Analytics can show counts of created, completed, rescheduled and canceled meetings, and can filter views by time period or event type✓ . Those product views help with operations, but an industry comparison still requires your own account-industry join and attendance validation. 2

3. Build industry cohorts without inventing splits

Choose one classification system for account industry before calculating the rates. NAICS, an internal vertical taxonomy or a controlled CRM picklist can work; what matters is that each account maps consistently. Use the buying organization's industry, not the seller's industry. If one conglomerate spans multiple sectors, set a documented account-level rule or keep it in a mixed category. Record missing industry separately instead of guessing from a website snippet.

For each industry, publish the number of booked demos, the number attended, the number rescheduled, the number cancelled and the number recorded as no-show. Then calculate attended divided by booked. Show the observation period and geography in the table heading. If one sector has ten meetings and another has a thousand, the percentages do not have comparable precision. Set a minimum count for public comparisons and show uncertainty for small groups.

Do not compare an inbound self-booked demo in one sector against cold outbound appointments in another without controlling for booking source. The Growth Cab source is agency-booked B2B sales meetings, not an all-channel demo dataset✓ . Within your own CRM, split at least by inbound versus outbound, then inspect booking lead time and account size. Otherwise, an apparent industry effect may be a difference in the way meetings were generated. 1

4. Use adjacent patterns carefully

Growth Cab knew the booking-to-meeting interval for 1,264 of its 1,380 meetings✓ . In the 0-to-2-day group, 85.4% of 96 meetings took place; in the more-than-30-day group, 58.5% of 159 took place✓ . Those are within-study associations by lead time, not industry effects, not demo-only measurements and not evidence that moving any single meeting sooner will cause a given outcome. The author expressly warns that meetings booked further ahead may differ in other ways✓ . 1

The source also warns about classification drift. In 2026, many no-shows were logged as reschedules, making 'took place' the more stable headline measure and no-show plus reschedule a safer combined view of meetings that missed the planned time✓ . If your team changes its CRM status definitions, annotate the reporting break. A dramatic improvement in no-show rate may be a relabeling, not a buyer-behavior change. 1

Use those observations to form operational questions, not universal prescriptions. In each industry, compare the distribution of booking lag and scheduling source. Review whether reminder practices, buyer roles and handoff rules differ. Run a prospective test if you want to claim a change caused an improvement. A historical association alone cannot isolate the effect of an intervention.

5. A simple reporting template

A useful monthly table has one row per industry, with booked demos, attended demos, no-shows, reschedules, cancellations, attended percentage, median days from booking to scheduled time, and count missing outcome. Add filters for country, source and account size. Publish the numerator and denominator beside every rate. When reporting to leadership, show the overall rate only as a weighted total across the included rows, and explain any excluded records.

Keep a second, separate funnel view for demo request to booking and for attended demo to opportunity. Neither is the show rate. If your scheduling tool reports completed events, reconcile those records to CRM meeting outcomes before calling them demos held. Calendly's product analytics distinguishes created, completed, rescheduled and cancelled activity, but it does not supply your industry definitions✓ . 2

FAQ

How we researched this

We read Growth Cab's original 2024-to-2026 aggregate dataset and methods, plus Calendly's first-party meeting-analytics documentation, on October 1, 2026. Growth Cab states its sample, geography and outcome definitions, but does not publish industry splits or a demos-only cohort. Calendly explains operational meeting counts and filters, not an industry benchmark✓ . The page therefore avoids fabricated industry percentages and treats associations as associations. 12

If your team needs a clean booking-to-held pipeline and a measurement process, talk to Modern Inbound.