EP
Enterprise Park
Connected Destination Platform
Technical Brief

How the analytics work.

Measuring footfall, weekly visitors and dwell time across the building: what the app captures on day one with no hardware, and how accuracy scales as you add it.

Topic
Footfall · Visitors · Dwell
Audience
Building owner & tenants
Prepared
June 2026
The principle

An honest, consistent measure

From day one, with no hardware, the platform measures app-engaged footfall: every visit it can see through the app. It's a clean, comparable index that's perfect for trends, rankings and “are we growing?”. It is a representative sample, not a turnstile count of every human in the building, and we label it that way so no one is misled. Counting everyone is a hardware add-on, covered at the end.

Per-unit footfall

How a tenant sees visits to their unit

Each unit's visit count is built from the signals the app already captures at that location. Tenants see their own numbers in their dashboard.

Loyalty QR scans

A visitor scans to earn or redeem points at the till.

The strongest signal: someone was physically inside the unit.

“Navigate to” requests

A visitor routes to the unit on the in-app map.

Strong intent and discovery: who's trying to find you.

Offer views & redemptions

A visitor opens or redeems one of the unit's offers.

Engagement and what's converting browsers into footfall.

Map check-ins

A visitor scans a Point A / B / C marker near the unit.

Live position, feeding both wayfinding and journey data.

These signals are added up per unit and de-duplicated, so three scans by one person count as one visitor. The result is each tenant's app-engaged footfall, clearly labelled and always comparable week to week.
The headline metrics

Visitors per week & dwell time

Visitors / week

The count of unique app users who produced any signal at the unit during the week. Building-wide, it's the unique users active anywhere in the park: the number that shows the destination growing.

Dwell time

The time between a visitor's first and last signal in a session. Software-only, it's a sensible estimate from timestamps. Add beacons and it becomes exact, measured passively as a phone enters and leaves range.

Worked example: one visit
2:01pmScans Point A at the main entrance
2:08pmRoutes to The Coffee House
2:24pmScans for loyalty points at the till
2:47pmLast signal before leaving

~46 minutes in-building dwell, a confirmed Coffee House visit, and a journey from the entrance, all from app signals.

Wayfinding

“You are here”, by QR

Points A, B, C… sit at the entrances and key junctions. A visitor scans the nearest one with the in-app scanner to set their exact starting position, then gets directions to any unit. No GPS (useless indoors), no hardware.

1

Scan a point

Open the map scanner and scan Point A at the entrance.

2

Set your location

The app pins you exactly on the floor plan.

3

Get directions

It draws the route from that point through the concourse and wings to any unit.

The same scans double as data. Point check-ins reveal which entrances are busiest, the building's traffic flow and popular routes, and, paired with a later loyalty scan, a full journey with timing. Wayfinding and analytics feed each other. (NFC “tap” works as an alternative to scanning.)
Accuracy & cost

Start in software, scale with hardware

Launch with the app alone, then add hardware only where a tenant or the building wants turnstile-grade numbers. Each tier builds on the last.

In scope now

MVP: app only

No hardware
  • App-engaged footfall per unit
  • Unique visitors per week
  • Journeys & popular routes
  • Estimated dwell time
Phase 2 upgrade

+ Bluetooth beacons

≈ £15-25 / unit
  • Automatic, passive entry counts
  • True, precise dwell time
  • No scan required by the visitor
  • Per-unit accuracy
Optional

+ People counters

£100s / door
  • Total footfall, including non-app users
  • Calibrate the app sample to 100%
  • Door-level entry & exit
  • Independent of the app

Recommended path: launch on the MVP with QR points, zero hardware cost and honest “app footfall” labelling, and offer beacons as a paid upgrade to any tenant who wants automatic, precise numbers. The upgrade even adds to the platform's revenue.

Compliance

Privacy by design

Location and dwell tracking is opt-in. On first launch the app asks clear permission, data is aggregated and anonymised for tenant and owner dashboards, and individuals are never identified to a business. This keeps the platform GDPR-compliant and keeps visitor trust intact.