Expected registered vs attended

Definition

Forecasting registered vs attended is calculating how many of the registered will actually show up. It is critical for sizing catering, rooms, materials, staff. It is based on history of similar events and predictive factors specific to the event.

Details and formula

Base formula: Expected attendees = Registered × (1 − expected no-show rate).

Expected no-show rate depends on:

• Payment: paid events → 5–18% no-show; free events → 30–50%
• Average distance: local → low no-show, international → even lower no-show (they bought flights)
• Event type: internal corporate → 3–8%; public open → 30–50%
• Reminders applied: with T-7 + T-1 + T-3h → 30–40% reduction
• Weather forecast: rain on event-day can reduce attendance by 5–15% for free events

Context and typical ranges

Common forecasting errors:

• Overbooking: taking more registrations than physical cap assuming no-show will cover → risk: if no-show is lower than expected, you'll turn away real registrations (disaster UX)
• Conservative under-booking: stopping registrations too early → half-empty room, ROI ruined
• Ignoring history: every subsequent edition of an event has similar patterns — looking at past edition data is the most accurate predictive model

Operational rule for B2B events: physical cap × 1.10 → admitted registrations. For free events: cap × 1.40 to 1.80.

How it applies in OAK EVENTS

OAK EVENTS calculates real-time attendee estimate based on history of similar events managed on the platform, single-event factors (cap, payment, distance), and forecast weather. Automatic alert if the registration trajectory deviates from baseline.