Demo no-show rate
What is a B2B demo no-show rate calculator?
A B2B demo no-show rate calculator measures the percentage of booked sales demos, discovery calls, or product meetings that prospects fail to attend. It helps SDR leaders, AEs, RevOps teams, demand generation teams, and SaaS founders diagnose calendar quality, lead-source fit, routing friction, reminder workflows, and the pipeline cost of prospects ghosting scheduled meetings.
B2B demo no-show rate formula
The demo no-show formula subtracts attended demos from booked demos, then divides that missed-meeting count by booked demos. Use the same CRM, calendar, and meeting-attendance rules for both booked and attended counts.
Demo no-show rate = ((Booked demos - Attended demos) / Booked demos) x 100- Attended demo rate = Attended demos / Booked demos x 100.
- No-show volume = Booked demos - Attended demos.
- Segment no-show rate by lead source, persona, SDR, AE, territory, and booking delay before changing the whole sales process.
Inputs explained
Demo no-show reporting is most reliable when bookings and attendance are pulled from the same CRM and calendar policy.
- Booked demos
- The number of qualified sales demos, discovery calls, or product meetings accepted onto an AE or sales calendar. Exclude webinars, nurture events, spam bookings, internal meetings, and meetings disqualified before they consume sales capacity.
- Attended demos
- The number of booked demos where the prospect actually joined and the sales team marked the meeting as held. Use a clear rule for brief joins, reschedules, assistant attendance, buying-committee meetings, and AE-disposition status.
- No-show rate
- The percentage of booked demos that did not become attended meetings. This KPI helps evaluate calendar quality, reminder effectiveness, routing friction, and pipeline reliability.
Example B2B demo no-show rate calculation
If a SaaS sales team books 520 qualified demos and 392 are attended, then 128 demos no-show or cancel outside policy. The demo no-show rate is about 24.6%. RevOps can use that gap to estimate lost AE capacity, diagnose low-intent lead sources, improve confirmation workflows, or forecast fewer held meetings from the same booked-demo volume.
Demo no-show rate
(Booked - attended) / booked x 100
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How to calculate B2B demo no-show rate
- Define “Booked demos” as meetings your routing logic accepts into AE calendars—exclude nurture webinars unless AE calendars literally reserve live slots.
- Pull “Attended demos” from dialer or conferencing attendance flags synced to CRM outcomes—match whichever truth Sales Ops uses for forecast hygiene.
- Subtract attended from booked to derive ghost volume before dividing—sanity-check when attended exceeds booked (duplicate CRM merges).
- Compare “No-show rate” weekly by territory and lead source so Ops spots calendar spam versus AE slack rather than punishing blended averages.
Common demo no-show rate mistakes
- Counting every calendar booking as qualified even when spam, students, competitors, or bad-fit leads are routed to sales.
- Mixing rescheduled demos, AE cancellations, prospect no-shows, and late cancels without separate status definitions.
- Counting attendee emails instead of opportunity, account, or meeting IDs.
- Using booked demos from CRM but attended demos from Zoom or Gong without reconciling timestamps and duplicates.
- Blaming AEs for no-shows caused by low-intent lead sources, long booking delays, or weak confirmation steps.
- Reporting one blended no-show rate across inbound, outbound, paid social, events, and partner leads.
- Ignoring the revenue impact of no-shows on AE capacity, pipeline creation, and forecast reliability.
B2B pipeline meeting attendance benchmarks
- Outbound-booked meetings—reported show-rate bands in SaaS benchmarking decks
- Highly variable by ICP and calendar tooling—many outbound teams model mid-sixties to mid-eighties attendance before remediation programs
- Impact of reminder stacks (email + SMS + Slack) on executive-held demos
- Operators frequently reclaim five to fifteen points of DNA once deposits or agenda confirmations become mandatory—baseline depends on persona seniority
- Why RevOps compares weekly cohorts rather than blended quarters alone
- Marketing-event surge weeks inflate denominator noise—slice by segment before blaming AE discipline
Best use cases
- Growth and performance planning
- Budget and forecast scenario modeling
- Client-facing pre-qualification and education
FAQs
Do rescheduled demos count as attended or still booked in the numerator?
Pick one policy—many teams decrement booked when the prospect accepts a new slot within SLA and treat the replacement meeting as a fresh row; others keep original booked steady and credit attendance only when someone shows. Mixed booking hygiene double-counts attendance unless Salesforce flows enforce it.
Should no-shows include AE cancellations?
Usually no—AE-initiated cancels belong in operational metrics, not prospect DNA. Restrict denominator to prospect-controlled flakes versus ops-driven bumps.
Why does my Chili Piper dashboard disagree with this percentage?
Routing tools sometimes log “shown” when Zoom connects briefly—CRM may still wait for AE disposition. Align extracts on the same timestamp field before comparing calculators.
How do executive assistants or collective demos skew rates?
Buying-committee invites sometimes multiply attendee emails while counting one opportunity—dedupe by opportunity ID when measuring calendar quality per account rather than raw attendee counts.
How do I calculate demo no-show rate when prospects reschedule before the meeting?
Create a clear reschedule policy before calculating the rate. If a prospect reschedules inside an accepted SLA and attends the new slot, many RevOps teams do not count the original meeting as a no-show. If they reschedule after the meeting time or repeatedly miss new slots, keep it in the no-show or late-cancel bucket.
How can I estimate pipeline lost from demo no-shows?
Multiply missed demos by your attended-demo-to-opportunity rate and average pipeline value per qualified opportunity. For a more conservative view, segment by lead source and ICP fit because a missed enterprise demo and a missed low-intent SMB demo do not carry the same pipeline value.
Why is no-show rate higher for outbound demos than inbound demos?
Outbound meetings often have weaker buyer urgency, longer handoffs, and more calendar friction than inbound demo requests. Compare no-show rate by channel, persona, company size, and time-to-meeting before changing SDR compensation or AE routing rules.
How do reminder emails, SMS, and calendar confirmations affect demo no-show rate?
Measure no-show rate before and after the reminder workflow using the same lead cohort. Strong reminder stacks usually confirm agenda, attendees, pain point, and calendar ownership rather than only sending generic reminders. Attribute improvement to held demos, not just opens or clicks.
Should I include unqualified or bad-fit demos in the no-show rate?
Only include them if they consumed AE calendar capacity and your process failed to disqualify them earlier. For process diagnosis, track a separate bad-fit booking rate so lead-quality problems are not hidden inside the demo no-show metric.
How do I reduce demo no-shows without adding friction that lowers bookings?
Test lightweight confirmation steps: shorter time-to-meeting, personalized agenda, calendar reminders, SMS confirmation, required business email, qualification questions, and SDR handoff notes. Watch both booked-demo volume and attended-demo volume so a stricter process does not reduce total held meetings.
Glossary
Scenario modeling
Comparing multiple assumption sets to estimate potential outcomes before execution.
Conversion intent
User behavior that indicates readiness to take a commercial action such as signup or purchase.
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Category: B2B revenue operations & pipeline hygieneTopics: Demo attendance, SDR-to-AE conversion, Calendar quality KPI
Last reviewed: 2026-05-07
Reviewed by: Calclet Growth Team