Attendance analytics

The Attendance tab is the door, measured. During the event it's your live crowd gauge; afterward it's how you plan the next one's staffing and doors.

KPIs

• Checked in — admitted count with the attendance percentage ("68 % attendance").
• No-shows — valid tickets never scanned, as a count and percent of valid tickets. The number that tells you how much to oversell next time, or who to follow up with.
• Peak arrivals — the busiest 15 minutes ("180 in 15 min at +25 min from start") — exactly what the door supervisor needs to staff the rush.
• Rejected & repeated scans — duplicates and invalids, split out, so a spike of trouble at one gate is visible.

The arrivals curve

Arrivals bucketed into 15-minute intervals across the doors-open window, drawn two ways you can toggle:

• Per-15-min (the rush profile) or cumulative (how full the room was over time);
• aligned by time from start or by percent of the entry window — the second makes two events with different door times genuinely comparable.

Add a benchmark event and last year's curve overlays this one: does the crowd still arrive fashionably late, or did the new start time move them earlier?

Scanners & devices

A throughput table: door throughput per person and device. Who scanned how many, how fast — the data to decide whether two gates were enough, and which volunteer to put on the busy door next time. Machine scanner devices appear here alongside people.

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