Blog
What we learn about visitor flows, people counting and running sensor infrastructure - written down for everyone who plans and operates spaces.
Footfall counting in town centres - one figure for the town, local business and the council
Every town knows its traffic figures but not its pedestrians. Where to measure footfall, how markets, Sunday openings and roadworks get a solid before and after, and why everyone ends up needing the same figure.
Read moreData-driven decisions: why a wrong figure costs more than a missing one
For data-driven decisions, the most expensive state a figure can be in is not missing but wrong and believed. Three states, two places where data fails, and every sector's blind spot on one page.
Read moreCrowd management: how to keep to a capacity limit on the day and prove it afterwards
The permit states a number, but not how you prove that evening that you kept to it. The four parts of a limit, the evidence the morning after, and what trade fair stands measure instead of badge scans.
Read moreData integrity in people counting: what happens between sensor and dashboard
Between a person walking through a door and the figure on the dashboard there are about ten steps. The whole chain in order, and the four links that show whether a figure holds.
Read moreMuseum visitor analytics: what an exhibition actually achieved
A ticket count tells you how many people came through the door; about an exhibition it says almost nothing. Three questions for an exhibition, which room holds people, and a visitor figure that stands up to funders.
Read moreSecurity questionnaire: what it asks and which answers hold up
The most dangerous answer in a security questionnaire is the one that is too good. Seven questions an analytics platform for visitor data will face, and three test questions for checking any answer.
Read moreHow to avoid vendor lock-in: who owns the data and how to get it out
An analytics system you cannot leave is not a tool but a trap. How to recognise an open architecture - on the way out and on the way in, and why an event is delivered differently from a switching command.
Read moreAutomated alerts: when a system may raise the alarm on its own
A dead sensor that reports minus 100 per cent every day calculates correctly and still reports something false. Three conditions a system has to meet before it may alert on its own - and how to switch an external system safely.
Read moreOffice space utilisation: what the space nobody uses really costs
A booking says someone meant to come. A badge says they were in the building. Neither says which space they used - and that is what the biggest cost decision in existing stock depends on.
Read moreAnomaly detection and forecasting: when a deviation is really a signal
With 15 pairs tested a chance hit is no exception, and an outlier distorts exactly the figures it is measured against. How to calculate relationships, anomalies and forecasts that can carry a decision.
Read moreYear-on-year comparison without context: how weather, holidays and staffing explain a visitor figure
The same daily figure means something different in steady rain, on a holiday or with half the staff. How to put context next to the number - and why a planning hint may only appear with evidence.
Read moreRetail benchmarking: the honest denominator - and why a ranking without it is worse than none
A site with a closing day looks 14 per cent weaker, a silent sensor like a slump - and neither has anything to do with performance. Which two denominators exist and which question each one answers.
Read moreAutomatic passenger counting in public transport: how a count reaches the report
In public transport a passenger count is an intermediate step - towards the report, the settlement, the investment case. The path from the vehicle door to a file the recipient can verify alone.
Read moreFootfall data quality: a silent sensor must never make a quiet day
A complete outage gets noticed. A half one does not: the day is just smaller, and every statistic reads it as a quiet day. How to catch it against the site itself - and why a day does not start in the same place everywhere.
Read moreMeasuring visitor demographics: what a counter can tell apart - and why every number needs its denominator
Child or adult, alone or in a group, with a pram or without, and where the gaze goes. What a 3D sensor tells apart - and why a distribution holds while a ratio against visitors does not.
Read moreOccupancy is a balance, not a count - why a headcount drifts
Footfall is a count, occupancy a balance - and a balance keeps every deviation. Why the zero point sits at three in the morning and why a dash is more honest than a zero.
Read moreThe visitors who don't buy: what happens between the entrance and the till
Store visitors who buy nothing never appear in a till system. What is measurable between the entrance and the till - and why the area that holds people but is not found is the cheapest improvement on the floor.
Read morePrivacy is an architecture decision - and it is made before the questionnaire arrives
The difference between anonymous and pseudonymous, what actually leaves a sensor, how long each store is kept - and the seven questions that belong in every tender.
Read moreMeasuring dwell time: what a zone tells you about your floor - and why five seconds is the boundary that matters
How dwell time per zone is formed, why it has to come from the sensor rather than a calculation - and how to recognise a zone analysis you can trust.
Read moreManaging queues: what you have to measure - and what a door counter cannot see
Why queues form, which five figures make them manageable, and why balking and abandonment leave no trace at a door counter. With a checklist for the…
Read more3D sensor, camera, infrared and lidar or Wi-Fi: which technology counts people how accurately?
Four people counting technologies compared: 3D sensors, cameras with facial recognition, infrared and lidar, and Wi-Fi tracking. Where each one is strong, where it fails, and…
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