Physical Venue Analytics for Shopping Malls and Retail Media
Turn venue traffic into measurable performance, better decisions, and trusted media value.
By transforming existing camera infrastructure into reliable analytics, Digeiz helps operators, media teams, retailers, and brands measure visitor flows, shopper journeys, and campaign performance across large physical venues.
From asset value to tenant dialogue, from screen reach to in-store campaign ROI, Digeiz turns venue traffic into analytics teams can actually use.
Value Proposition
One platform. Three ways to create value from venue traffic.
Digeiz helps physical venues do more than measure attendance. The platform turns traffic, journeys, and audience exposure into operational insight, commercial proof, and measurable media value.
Understand venue performance
Measure traffic, flows, dwell time, and destination behavior across entrances, zones, stores, and media locations.
Support higher-quality commercial decisions
Give asset, leasing, and centre teams objective data for tenant discussions, location evaluation.
Build measurable retail media value
Qualify audiences, measure exposure, track campaign impact, and help media teams, retailers, and brands prove performance.
From the same data foundation, across the same venue environment.
Who uses Digeiz
Used by the teams who run, commercialize, and activate the venue
Digeiz provides a shared analytics foundation for venue operators, media teams, and commercial partners — with different KPIs, different decisions, and common proof.
Asset & Leasing
Understand zone value, storefront traffic, capture potential, and destination strength.
Typical uses
- Compare store performance
- Support leasing decisions
- Evaluate location value
Example metrics
- Storefront traffic
- Store visits
- Capture rate
- Zone performance
Centre Operations
Monitor weekly traffic dynamics, identify weak areas, and support tenant dialogue with simple operational views.
Typical uses
- Weekly tenant discussions
- Entrance-to-destination analysis
- Top / bottom store monitoring
Example metrics
- Daily / weekly traffic
- Entrance flows
- Top destinations
- Weak corridors
Retail Media Teams
Qualify audiences, price campaigns, manage inventory, and prove campaign performance across screens and activations.
Typical uses
- Media planning
- Campaign reporting
- Screen / zone comparison
- Audience packaging
Example metrics
- Reach
- Repeat exposure
- Audience segmentation
- Destination lift
Retailers & Brand Partners
Measure how advertising influences shopper behavior, store visits, engagement, and business outcomes inside the venue.
Typical uses
- Prove in-store campaign ROI
- Compare exposed vs non-exposed audiences
- Optimize store activation and media spend
Example metrics
- Campaign reach
- Exposure quality
- Store visit uplift
- Path to purchase indicators
What you measure
Concrete analytics that lead to real decisions
Digeiz turns venue traffic into structured analytics teams can use across operations, commercial discussions, and retail media performance.
What you measure
Traffic & flows
Journeys & behavior
Audience & media
What it helps decide
For leasing
Support a tenant discussion with storefront traffic and capture data.
For centre operations
Identify which zones need attention based on footfall and dwell time.
For media teams
Build a measurable campaign offer using audience, reach, and destination data.
For retailers / brands
Understand whether exposure drives store visits, engagement, and stronger campaign outcomes.
Deployment model
Built for real-world deployments — and designed to limit exposure
Digeiz connects to existing camera infrastructure, processes video locally, and delivers aggregated analytics through dashboards and APIs. The platform is designed to create operational and commercial insight without turning the system into an identity tool.
Works with existing infrastructure
Connects to cameras and VMS without replacing the video stack.
Local processing, aggregated delivery
Video is processed on site; analytics outputs are made available through dashboards and APIs.
Built for analytics, not identification
No facial recognition. The goal is venue intelligence, not identity recognition.
Processing pipeline
A simple model, built for real-world deployments
Digeiz connects to existing camera infrastructure, processes video locally, generates analytics, and makes aggregated insights available through dashboards and APIs.
Selected deployments
Already deployed across leading shopping malls in Europe
Digeiz is already deployed in major shopping centers and large venue environments across Europe.
Westfield Forum des Halles
Paris, France
Westfield London
London, United Kingdom
Bullring & Grand Central
Birmingham, United Kingdom
Turn venue traffic into measurable commercial value
Give asset, leasing, media, operations, retailers, and brand partners the analytics they need to understand performance, support better decisions, and prove campaign value.