Phygital Analytics
Flow analysis enables our customers to obtain real-time, anonymous data on how people move in both indoor and outdoor spaces, for example:
- Number of visits and unique visitors by area (hour, day, month).
- Real-time occupancy.
- Analysis of specific events.
- Visitor flow maps and occupancy by area.
- New vs. returning visitors (by area, hour, day, month).
- Visitor profiles based on behavior patterns (tourist, local, day-tripper, etc.).
- Flows and routes between areas (points of origin and destination).
- Dwell time and visit frequency (by day, hour, week, and configurable time slots).
- Anonymous data in compliance with the GDPR.
Features
Dashboard
Metrics across all locations, including visitors, visits, new vs. returning, dwell times, flows, etc.
Profile segmentation
By correlating visit patterns, time spent in areas and stores, visit frequency, and cross-shopping by profile, Seeketing enables informed categorization of the customer base.
Conversion funnels
They measure the conversion of the audience that passes in front of a store and enters or makes a purchase.
Zone and flow maps
Visual maps of all locations to identify the store or product areas that perform best.
Cross-shopping
Purchase patterns across multiple locations.
Regional competition
Analysis of the volume and behavior of visitors shared with other retail and leisure areas within the same region.
Benchmarking
Comparative performance metrics across the different locations in the portfolio over time to identify macro trends.
Events
Measurement of event attendees and its impact on visitor loyalty over time.
Corners and displays
Measurement of the impact of corners and digital content displays, and their effectiveness in directing audiences from one area to another.
Questions that Phygital Analytics answers:
- Can I apply different pricing per m2 by zone? Where is a display most effective?
- Has visitors’ dwell time increased?
- Are my promotions and marketing effective at converting customers into loyal customers?
- What was the number of new visitors during an event?
- How many people who came today also came last week?
- What proportion of my visitors are also visitors in other areas?