Access-Point Client Telemetry with Venue Location (US)

Stop Estimating Foot Traffic. Start Knowing It.

Cell Dwell's Access-Point Client Telemetry delivers deterministic, consent-based visit and dwell records from a national Wi-Fi Passpoint network, with carrier attribution and exact venue geolocation for every session. For the first time, you can nowcast store-level performance, measure campaign lift, and benchmark competitors without touching a single panel-based estimate.

Isometric white geographic platform with blue network paths, venue markers, translucent coverage fields, and floating abstract data cards representing deterministic venue visit and dwell telemetry.
At a Glance

The Data Behind the Decision

National US
Access-point network coverage
Deterministic
Visit records, not modeled estimates
Carrier-Attributed
Every session, every visit
Buy by Geography

Stop buying the whole country. Buy just your markets.

Most data vendors sell you a national license to millions of records you will never contact. BigGeo works differently.You tell us where you sell, and we cut you exactly that geographic slice of the dataset. A single city.

A cluster of ZIP codes. A metro area. A county. Whatever matches your territory. The result is a lean, CRM-ready file containing only the companies in the markets you actually work, delivered at a fraction of the cost of a full national license.

Book a Meeting

See Your Trade Area in 30 Minutes

The Problem

Panel Estimates Are Costing You Decisions

Foot-traffic intelligence has been sold to you as a solved problem. It has not been solved. Most vendors are serving you a statistical model built on opt-in panels, GPS pings, and interpolation. When you make a site-level call, a campaign attribution argument, or a capacity investment on that data, you are betting on someone else's estimate. The business risk is real and it compounds every quarter you let it ride.

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Panel Data Hiding Blind Spots
Panel-based visit models exclude the majority of real visitors and over-represent certain device types, demographics, and carrier footprints. Your competitive benchmarks and sales nowcasts inherit every one of those biases silently.
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Dwell Time Is Guesswork
GPS-ping visit data cannot tell you how long a customer actually stayed or whether they engaged. Without session-level dwell duration, you cannot separate browsers from buyers or measure campaign quality by venue.
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No Carrier-Level Attribution
Knowing a device visited a location is useful. Knowing which carrier network it belongs to tells you who your customer actually is. Most foot-traffic data strips that signal entirely, leaving a demographic gap your media team cannot close.
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Venue Context Lost in Translation
Aggregated visit counts with no access-point or venue geolocation cannot support zone-level analysis, proximity scoring, or spatial joins to your own site data. You get a number where you need a map.
What Is In The Dataset

Authenticated Session Data, Venue-Precise and Carrier-Resolved

Deterministic Visit and Dwell Records

Each record contains session start, dwell duration, and carrier attribution from an actual Passpoint authentication event. You can nowcast same-store sales, rank venues by engagement depth, and compare dwell patterns across sites without touching an estimate.

Device and Carrier Identity Signals

Hashed device identifiers, device make, OS hints, client classification, and carrier attribution give you the customer-type signal that panel data cannot resolve. Segment by device class or carrier footprint to sharpen your audience picture at the venue level.

Radio Performance and Session Quality Metrics

Signal strength, signal-to-noise ratio, radio band, SSID, VLAN context, and transmitted and received byte volumes are included per session. Network operators use these to prioritize capacity investments. Analysts use them to filter low-quality dwell signals from genuine engagement records.

Venue Geolocation and Site Metadata

Every access point carries latitude, longitude, and descriptive site metadata, enabling direct spatial joins to your trade area models, real estate portfolios, or campaign geo-targets. No geocoding required, no address matching lag, just coordinates ready for compute.

Let's talk
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The world's spatial data is more accessible than you think. Let's show you how close you already are.
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You already have the questions. We have the data. Let's see what happens when they meet.
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The where in your business is more important than you think. Let's find it together.
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Most spatial data conversations start with a problem nobody thought was solvable. What is yours?
BigGeo AI

Ask Location Questions in Plain Language, Get Governed Answers in Seconds

BigGeo AI is live in ChatGPT today and shipping in Claude, giving your team direct access to governed, venue-precise telemetry through the tools they already use. Instead of opening a ticket with a GIS analyst to pull dwell distributions by carrier for a specific trade area, you type the question and get the answer grounded in real authenticated session data. The underlying data never leaves the governed compute path, regardless of how it is accessed.

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Which venues in my target trade area saw the longest average dwell times last month compared to 90 days ago?
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Show me carrier distribution of authenticated sessions at our top 10 retail locations by visit volume this quarter.
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Flag any venues where session volume dropped more than 20 percent week over week in the last 30 days.
FAQ

Frequently asked questions

How is this different from the foot-traffic data I already buy from another vendor?
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Is this data compliant with privacy regulations given that it involves device-level signals?
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How current is the data and how frequently is it refreshed?
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How do I actually work with this data once I have access?
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What is the fastest way to evaluate whether this dataset fits my use case before committing?
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