Demographic Analysis
Measure the age and gender mix of your visitors, anonymously.
Who a store speaks to is often an assumption. Collections, window displays and music are built around that assumption.
Demographic analysis measures the age band and gender mix of visitors anonymously; no identity record is kept and no facial image is stored. The result shows the gap between the intended and the actual audience — and that is usually where the most efficient correction to a marketing budget begins.
How it works
Visitor located
A person entering the frame is detected and given a temporary anonymous ID.
Age and gender
Statistical classification is applied; no personal record is created.
Distribution produced
Hourly and daily distributions are reported, not individual data.
The gap between intended and actual audience
The difference between the audience a brand targets and the one that walks in is often the reason for unexplained variance in campaign performance. Examined hourly, the distribution shows that two entirely different customer profiles use the same store during the day.
| 18–24 | 14% |
| 25–34 | 31% |
| 35–44 | 35% |
| 45–54 | 12% |
| 55+ | 8% |
The 35–44 band is above expectation; revisiting tone of voice and product placement for this profile lifts conversion.
| 10 | 71% |
| 12 | 68% |
| 14 | 62% |
| 16 | 57% |
| 18 | 52% |
| 20 | 48% |
Because morning and evening profiles differ, the window display and staff approach should differ too.
Use cases
Collection planning
Product mix based on the real audience.
Tenant analysis
Visitor profile per floor.
Screen content
Content that changes by hour.
Regional differences
Profile comparison across stores.
Technical requirements
| Camera | Near face-level angle; at the entrance or the head of an aisle |
| Data | No facial images stored, no identity matching |
| Compliance | GDPR/KVKK-compliant configuration with privacy notice support |
| Output | Age band and gender distribution, hourly breakdown |
| Integration | BI tools, CRM segmentation, REST API |
Frequently asked questions
How does Demographic Analysis work?
Who a store speaks to is often an assumption. Collections, window displays and music are built around that assumption.
Are our existing cameras suitable for this solution?
Required camera placement: Near face-level angle; at the entrance or the head of an aisle. Before installation we assess your camera inventory free of charge and report which points are suitable and, if needed, which camera should be added.
How accurate is it in the field?
Measured accuracy: 95.4%. The 35–44 band is above expectation; revisiting tone of voice and product placement for this profile lifts conversion. Thresholds are calibrated on your own site during the pilot.
Which systems does it integrate with?
BI tools, CRM segmentation, REST API. Events are published over REST API and MQTT, so it connects to your existing MES, ERP, VMS and alarm infrastructure.
Is it compliant with KVKK, Türkiye's data-protection law?
Footage is processed on an edge server inside your facility; raw video is not sent to the cloud. Facial recognition is not used; analytics outputs are anonymous and event clips are deleted automatically when the defined retention period ends.