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Stores & Shopping Centers

Measure what matters on the shop floor

Every guest WiFi connection is a data point. Across every venue, every hardware vendor, normalized into a single queryable format that your AI agents understand.

The challenges

1

Foot traffic is invisible

Door counters give you a number. They cannot tell you how long shoppers stayed, which departments they visited, or whether they came back next week. WiFi data can.

2

Store layout optimization is guesswork

Merchandising teams rearrange floors based on intuition. Without zone-level dwell data, there is no way to measure whether a new layout actually increased engagement.

3

Multi-location comparison is manual

Regional managers spend hours pulling reports from different dashboards to compare store performance. Different hardware at each location makes this worse.

How GuestNetworks solves it

Zone-level dwell analytics

Map WiFi access points to store zones. Measure average dwell time per department, track shopper flow between zones, and identify dead spots with real data.

Visit-to-purchase conversion

Correlate WiFi connection events with POS transactions. Measure what percentage of foot traffic converts, and how conversion varies by time of day, day of week, or season.

Portfolio-wide benchmarking

Compare occupancy, dwell time, and repeat visit rates across every store in your chain through a single API. Identify top performers and underperformers instantly.

Camera-based path analytics

ONVIF feeds normalized into the same dwell schema as WiFi.

ROI Calculator

An 800-visitor/day retail location capturing 25% of devices and correlating with $42 average basket size tracks $3M+ in attributable annual revenue.

Daily Traffic
800/day
Capture Rate
25%
Avg. Value
$42
Annual Impact
$3.1M
in trackable, attributable revenue

Key metrics you will track

Avg. Dwell Time
22 min
Average time shoppers spend in-store per visit
Visit-to-Purchase
31%
Percentage of foot traffic that results in a transaction
Repeat Visit Rate
28%
Shoppers returning within 30 days
Peak Traffic Hour
1 PM
Optimal time for promotions and staffing increases
Dead Zone Identified
3
Store sections with less than 5% of total foot traffic
Cross-Shop Rate
14%
Visitors who enter 3+ departments in a single visit

Popular connectors for retail

Cisco Meraki
Cisco Meraki
Fortinet
Fortinet
Ubiquiti UniFi
Ubiquiti UniFi
Extreme Networks
Extreme Networks
Case Study

National retailer reduces dead zones by 40% in 6 weeks

A 45-location fashion retailer across the Midwest

Zone-level dwell analytics revealed that the back-left quadrant of most stores received less than 4% of foot traffic. After relocating high-margin accessories to the path between entry and fitting rooms, the retailer saw a 12% lift in accessories revenue chain-wide.

We spent years guessing which layouts worked. Now we test a layout and measure the result in the same week.

Ready to see your stores clearly?

Start with one location. Get zone-level analytics in minutes. Scale across your chain.