Average Attendance Rates by Event Type
Data suggests that paid, professional events consistently outperform free, social gatherings in attendance rate. Analysis shows that financial commitment and employer-driven attendance are the strongest predictors of show-up rates.
| Event Type | Attendance Rate | Notes |
|---|---|---|
| Conferences & Summits | 78–85% | Paid registration drives commitment |
| Corporate Events | 75–82% | Employer-driven, higher accountability |
| Professional Workshops | 70–78% | Skill-building motivation |
| Fitness Classes | 65–75% | Routine-based, weather-sensitive |
| Networking Mixers | 55–68% | Social pressure is lower |
| Community Meetups | 50–65% | Free events see more drop-off |
| Social Gatherings | 45–60% | Informal commitments, easy to skip |
| Webinars / Virtual Events | 35–45% | Low switching cost to not attend |
No-Show Rates by Industry
Analysis shows that no-show rates vary significantly by industry, with social and casual events experiencing the highest drop-off. Industries with recurring events and established communities tend to have lower no-show rates over time.
| Industry | No-Show Rate |
|---|---|
| Healthcare / Wellness | 18–25% |
| Corporate Training | 15–22% |
| Tech / Startup | 20–28% |
| Fitness / Sports | 20–30% |
| Social / Casual | 25–40% |
| Education | 15–22% |
| Nonprofit / Charity | 18–28% |
See our detailed breakdown: No-Show Rates by Industry report.
Day-of-Week Attendance Trends
Data suggests that mid-week events — particularly Wednesday and Thursday — consistently achieve the highest attendance across event types. Friday shows a notable drop attributed to end-of-week fatigue and competing social plans.
| Day | Avg. Attendance | Notes |
|---|---|---|
| Monday | 62% | Slow start to the week |
| Tuesday | 68% | Building momentum |
| Wednesday | 75% | Peak mid-week attendance |
| Thursday | 74% | Strong, especially for socials |
| Friday | 58% | End-of-week fatigue |
| Saturday | 72% | Strong for fitness & social |
| Sunday | 64% | Mixed — morning strong, evening weak |
Seasonal Attendance Patterns
Analysis shows two clear peaks in event attendance: spring (March through May) and autumn (September through November). December consistently shows the largest month-over-month decline, with attendance dropping 20% or more compared to November.
Peak season — 12–18% above annual average
Dip in June/July (vacations), strong August rebound
Second peak — September is the single strongest month
December drops 20%+, January recovery, February stable
RSVP-to-Attendance Conversion Rates
Data suggests that the RSVP channel significantly impacts actual attendance. Low-friction, personal channels (in-app, WhatsApp/SMS) show substantially higher conversion than passive channels like social media "Interested" buttons.
| RSVP Channel | Conversion Rate | Notes |
|---|---|---|
| In-app RSVP (Who's In) | 72–80% | One-tap, low friction |
| Email invitation | 60–70% | Depends on follow-up reminders |
| Social media event | 35–50% | "Interested" ≠ committed |
| WhatsApp / SMS invite | 68–78% | Personal, high open rate |
| Word of mouth | 55–65% | No formal commitment mechanism |
Methodology
This report combines aggregated, anonymized data from the Who's In platform with publicly available research from Eventbrite, Bizzabo, Cvent, and Meetup. Attendance rates represent ranges observed across event categories. No individual user or organization data is disclosed.
Industry-standard definitions: "Attendance rate" = actual attendees / confirmed RSVPs. "No-show rate" = confirmed RSVPs who did not attend / total confirmed RSVPs. "RSVP conversion" = attendees who showed up / total RSVPs sent or received.
Data sources: Who's In aggregated platform data, Eventbrite Pulse Report 2025, Bizzabo Event Benchmarks 2025, Cvent Annual Survey, Meetup Community Insights. Last Updated: April 2026.