Footfall evidence for councils and business associations
Show your centre is recovering, prove what events deliver, and put investment where people actually are, with footfall data that councils and members accept.
You need to show that the precinct is recovering, that events pay for themselves and that public money is going where people are, and you need it in a form the council and your members will accept.
We map your sites, choose Count Pods or CCTV integration per location, and fit each pod with a lens for its mounting height.
Solar Count Pods need no mains power or trenching. CCTV integration runs on a lightweight CPU server inside your network.
Our engineering team loads a custom AI model for each site, then calibrates, tunes and ground-truths it against manual counts before go-live. All of it is done remotely.
Pulse Analytics dashboards, automated reports and the REST API put the data where your team already works.
A growing sensor network across the centre, live on hotcity.co.nz and open under Creative Commons since 2012. Evidence of 14 times more pedestrians than vehicles on High Street drove its upgrade under Access for Everyone and a Living Streets Aotearoa award.
For three years the scene changed every week as scaffolding, hoardings and machinery moved through, and the system kept counting without retraining or gaps. “Making sure that we're doing that in the same way all of the time, so we establish a comparable set of data.” Glen Hazelton, Dunedin City Council
A trial with the Oxford Street business community gave the City continuous pedestrian and micromobility data on one of its busiest retail streets.
Pulse Analytics for Cities is the counting and reporting. City Pulse is a daily 0 to 100 score with a fourteen-day forecast, built on top of it and calibrated on your city's own record. If we can't measure something, the platform says so.
The Pulse score reads the city centre from 0 to 100, today and fourteen days ahead. It is built from factors measured on the city’s own history: the seasonal rhythm, the shape of each weekday, public holidays, events tiered by venue, and cruise ships by passenger count. Open any score and it shows its working, factor by factor. If a score looks wrong, the breakdown shows which factor moved it.
Every factor in the score is measured on years of your city’s own counts, using matched-day comparisons and control streets. The result is a measured answer to the questions that come up in committee: what an event delivered, what a major visitor draw is worth, and how much of a change is real.
Each event’s lift is calibrated against your city’s own event record, with day and night events treated separately, so the next one can be forecast and judged fairly.
Conferences, stadium days, festivals or cruise calls: whatever brings people into your centre is measured against comparable days and a control street, so the lift you report is real.
Calibration regularly shows that the days and drivers people assume matter most are not the ones moving the numbers. That is the evidence a council can take into a funding decision.
One view was about to report 325 business openings in a single month. The platform held the figure back because it detected that its data coverage had changed, not the number of businesses.
Every figure carries what it comes from and how it was measured.
When a feed degrades, the platform says so instead of papering over it.
Scored against counted reality on the platform itself, error rate published.
Run on every release, so a code change can’t start overstating results unnoticed.
