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Industry
Video analytics for shopping centre leasing and operations
In short
Shopping centre video analytics measures centre-wide footfall, the routes visitors take between anchors, which zones they reach and how busy each area becomes. Leasing teams gain evidence for unit pricing, and operations teams gain occupancy visibility during peak trading.
The problem
What shopping malls teams are dealing with
- Unit rents are negotiated on centre-wide footfall because zone-level evidence does not exist.
- Upper floors underperform and nobody can show whether the problem is reach or conversion.
- Marketing campaigns are evaluated on total footfall, which hides whether they changed where people went.
- Operations learn a mall area is congested when it is already visibly crowded.
- Tenants dispute footfall figures because the measurement method is opaque.
Recommended
Analytics that address these problems
Only capabilities Ayonix publishes appear here. Each links to its full scope, camera requirements and limitations.
- Published capability
People counting
Ayonix people counting counts movement across a virtual line on an existing camera view and compares directional flow through the day. It produces e…
Read the detail → - Solution-design configuration
Customer flow analytics
Customer flow analytics combines Ayonix directional counting, dwell measurement and heatmap accumulation to describe how visitors move through a spa…
Read the detail → - Published capability
Heatmap analytics
Ayonix heatmap analysis visualises the areas of a camera view that attract the most activity, accumulated over a chosen period. It shows which aisle…
Read the detail → - Solution-design configuration
Occupancy monitoring
Occupancy monitoring maintains a running count of people inside a defined space by combining directional entry and exit counts at every doorway. Thr…
Read the detail → - Published capability
Dwell time analytics
Ayonix dwell analysis measures how long people remain in defined areas of a camera view. Reported as distributions rather than single averages, dwel…
Read the detail → - Solution-design configuration
Entrance and exit analytics
Entrance and exit analytics reports directional volumes at each doorway of a building or site. Ayonix people counting already counts entry and exit …
Read the detail →
Camera placement
Where cameras need to be, and why
Camera position decides more of the outcome than any software setting. These are the placements that matter in this sector.
| Location | Purpose | What matters |
|---|---|---|
| Every mall entrance | Directional footfall | Completeness matters more than precision — a missed entrance invalidates every derived proportion. |
| Escalator and lift lobbies | Inter-level route volumes | These are the measurement points that answer the upper-floor reach question. |
| Mall corridors between anchors | Route volumes | Consistent direction labelling across all corridors is what makes route data comparable. |
| Food court and seating | Zone occupancy and dwell | Elevated views over defined zones; seating areas need their own dwell treatment. |
| Unit frontages in scope | Passing traffic for leasing evidence | Comparable camera geometry across units is essential if units are to be compared fairly. |
Workflow
From event to acknowledged action
Event workflow
- 1 Entrance, corridor and lobby cameras are ingested and monitored.
- 2 Directional counts are produced at every entrance and route measurement point.
- 3 Zone activity and dwell are accumulated over the reporting period.
- 4 Route volumes and zone reach are computed as aggregate proportions.
- 5 Occupancy thresholds raise operational warnings where configured.
- 6 Series are published to leasing, marketing and operations dashboards.
Operator workflow
- 1 Operations receives an occupancy warning for a mall zone approaching its threshold.
- 2 Cleaning, security or flow-management staff are directed to the area.
- 3 Leasing pulls unit-frontage passing traffic and zone reach for a rent review.
- 4 Marketing compares campaign-period route volumes against the stored baseline.
- 5 Tenant reporting is issued from a documented, consistent measurement method.
Operations
Dashboards, integration and deployment
Dashboard metrics
- Centre footfall by entrance and interval
- Route volumes between anchors and levels
- Zone reach as a share of arrivals
- Unit-frontage passing traffic
- Zone occupancy against threshold
- Coverage completeness and camera availability
Integration options
- REST and webhook delivery into leasing and centre-management platforms
- Tenant reporting exports
- VMS event delivery for occupancy and security rules
- ONVIF and RTSP ingestion from the centre camera estate
Deployment options
- On-premise processing, normal because a centre already aggregates cameras
- Edge processing per building in a multi-building centre
- Multi-site management across a centre portfolio
- Hybrid deployment for portfolio-level benchmarking on aggregate series only
Evidence
Deployment pattern
Centre leasing and operations pattern
Complete entrance counting, inter-level route volumes, zone reach and occupancy thresholds, delivered to leasing, marketing and operations with documented coverage.
All figures are measured on your own centre. No footfall or reach benchmarks from other centres are published, because catchment, layout and anchor mix make them misleading.
This is an anonymised pattern describing how a deployment of this kind is structured. It is not a named customer reference. No customer names, logos, testimonials or measured results are published on this site, because none have been supplied for publication. More on how evidence is handled .
Governance
Privacy and governance in this sector
- All leasing and marketing outputs are aggregate volumes and proportions; no individual journey is reconstructed.
- Cross-camera re-identification is not deployed, so tenant reporting cannot and does not track individuals.
- Where demographic estimation is requested for retail-media inventory, the lawful basis and impact assessment come first.
- Tenant-facing figures should be accompanied by the measurement method and known coverage gaps, which is what makes them defensible in a rent review.
- Centre privacy notices should cover the analytics purpose explicitly.
Frequently asked questions
Can you track a shopper from the car park to a unit?
No. Cross-camera re-identification is not deployed. Route volumes and zone reach are aggregate proportions computed from counts at defined measurement points, which answers the leasing and layout questions without building individual journeys.
What happens if we miss an entrance?
Every derived proportion becomes unreliable, which is why entrance completeness is the first priority and coverage gaps are documented explicitly rather than quietly absorbed into the figures.
Will tenants accept these figures?
They are far more likely to when the measurement method, the counting error and the coverage gaps are published alongside the numbers. Opaque footfall figures are what generate disputes.
Other industries
- Author
- Gabriel Bamola, Chief Marketing Officer, Ayonix
- Technical review
- Dr Sadi Vural, Founder and Chief Executive Officer, Ayonix
- Published
- Last reviewed
Design a shopping malls pilot around your own cameras
Start with a camera readiness review and a log-only baseline, then measure against acceptance criteria we agree before the pilot begins. That is what turns an analytics evaluation into a decision.