Zonify helps shopping centers, retailers, airports, leisure venues, and other physical destinations understand how people move through their spaces. We measure visitors, exposure, capture, dwell, flow, tenant performance, and audience patterns, then make that information useful for leasing, operations, marketing, and asset decisions.
We provide a complete behavioural view of how people enter, move through, and engage with physical environments, revealing performance across footfall, exposure, capture, dwell, audiences, zones, and tenants.
We map every visit from entry to exit, revealing how routes, dwell, cross-shopping, tenant adjacencies, and spatial design shape engagement and conversion across a destination.
We deploy an integrated AI system that continuously analyses performance, generating decision-ready insights that help teams focus attention and act faster.
We turn behavioural and trading data into evidence-led decisions on tenant mix, relocations, layouts, staffing, campaigns, refurbishments, and capital investment, with a clear path from insight to action.
Zonify turns real movement into a working picture of the venue: which entrances drive traffic, which tenants capture passers-by, where visitors dwell, and how flows change during events, campaigns, and everyday operations.
Turn tenant conversations into evidence-led decisionsUnderstand exposure, capture, cross-shopping, and audience fit for each unit. Use the data to explain performance clearly, support rent discussions, and plan tenant mix with more confidence.
See where operations need attention before it escalatesFollow movement, dwell, queues, and friction points across the floor. AI highlights unusual changes so teams can adjust staffing, layout, and service levels while the issue is still useful to act on.
Move from portfolio reporting to portfolio learningCompare assets using the same behavioral language across locations. Spot where performance is changing, understand likely drivers, and create business-ready briefings for owners, boards, and investors.
Understand what campaigns actually changedMeasure more than entry counts. See how events, media, and promotions changed journeys, dwell, audience mix, and store visits, then turn the findings into reports teams can share.
Plan teams around expected demandUse historical patterns and AI forecasting to prepare for peaks before they happen. Align staffing and service coverage with the parts of the venue where visitors actually need support.