On-site analytics.
What the floor tells you while it is open. Badge scans and access control, session fill, dwell, aisle traffic, the limits of each sensing method, and show-day anomalies.
20 articles · Attendee analytics
- The types of badge scans at a show and what each one provestypes of badge scansThe types of badge scans at a show are entry, session, lead and deny. Each proves a different fact, so fix the taxonomy before anybody adds them up.
- How exhibition access control data should feed show day operationsexhibition access control dataExhibition access control data records grants, denies and door-held events. Reading the deny reasons on show morning is what turns the feed into operations.
- An entry scan deduplication rule that survives a busy hall doorentry scan deduplicationAn entry scan deduplication rule needs two windows: a short debounce per badge per reader, then a session window per person per day. Here is how to size both.
- What RFID badge tracking at exhibitions actually measures and what it missesrfid badge tracking exhibitionsRFID badge tracking at exhibitions records portal crossings, never a continuous path. Read rate compounds across a journey, and here is the arithmetic that shows it.
- How NFC badge scanning throughput changes a door under loadnfc badge scanning throughputNFC badge scanning throughput depends on full service time at the lane, from badge presentation to gate release. Measure that, then divide lanes by the mean.
- Gate coverage for attendance counting and the doors everyone forgetsgate coverage for attendance countingGate coverage for attendance counting starts with a door inventory. Classify every door as counted, sampled or uncounted, then publish the band that follows.
- Building the show day arrival curve that tells you when to staff the doorsshow day arrival curveA show day arrival curve is built from 15 minute bins per door. Peak to mean drives door staffing far harder than the daily attendance total does.
- Testing entrance counting accuracy against a manual clicker countentrance counting accuracyEntrance counting accuracy is measured by running a manual clicker count beside the sensor, then plotting the difference against the mean for each bin.
- Attendee reentry tracking without inflating the daily attendance numberattendee reentry trackingAttendee reentry tracking separates a return from a fresh arrival. Without exit reads you need a minimum gap rule, and the gap you pick moves the headline.
- Dwell time measurement on a show floor and what each method assumesdwell time measurementDwell time measurement gives different answers by method. Portal dwell counts time inside a boundary and proximity dwell counts time inside a moving radius.
- Turning aisle traffic density into a number your operations team can act onaisle traffic densityAisle traffic density turns a headcount into persons per square metre over walkable area, which is the form an operations lead can grade and act on in minutes.
- Reading show floor traffic patterns from door scans and zone countsshow floor traffic patternsShow floor traffic patterns become useful once you split hourly zone counts into a daily profile, a day effect and a residual, then read each part separately.
- Analysing attendee movement paths as ordered sequences of zonesattendee movement pathsAttendee movement paths become analysable when each route is reduced to an ordered list of zones and counted in a transition matrix, which survives sensor noise.
- Calculating peak show floor occupancy from entry and exit scanspeak show floor occupancyPeak show floor occupancy is a cumulative sum of entries minus exits that drifts upward when exit reads are missed, so it needs a reconciliation before anyone quotes it.
- Show floor heat mapping that an operations lead can defend in a debriefshow floor heat mappingShow floor heat mapping is a spatial histogram, so bin size, grid origin, colour scale and time window decide what the picture shows before any attendee does.
- Finding dead zones on a show floor before the exhibitors in them complaindead zones on show floorDead zones on a show floor show up when you rank aisle segments by traffic per linear metre of frontage against the hall median, then test what caused it.
- Why heat map normalization changes which part of the hall looks busyheat map normalizationHeat map normalization divides zone counts by area and by open minutes, and doing it usually reverses which part of an exhibition hall looks busiest.
- What BLE beacon tracking accuracy means on a crowded exhibition floorble beacon tracking accuracyBLE beacon tracking accuracy is set by a noisy signal strength to distance conversion, so a few decibels of error moves an attendee across a stand boundary.
- Where lidar people counting accuracy holds up and where crowds break itlidar people counting accuracyLidar people counting accuracy is quoted per crossing at a doorway, and that figure hides where the misses land, which is the busiest ninety minutes of the day.
- Computer vision people counting on a show floor and its failure modescomputer vision people countingComputer vision people counting reports a number without naming anyone, and the benchmark error that comes with it is quoted on crowds unlike any exhibition hall.