XMAP // FOOTFALL INTELLIGENCE

Footfall analytics for any location on Earth

Measure real-world foot traffic, dwell time, and trade areas across millions of places. No hardware, no guesswork.

Agent Inspector // NYC
> footfall.query("evaluate 314 Bleecker St, NYC")
↳ foot_traffic_500m : 14,200/day
↳ dwell_time_avg : 22 min
↳ visit_frequency : 3.4x / month
↳ trade_area : 4.2 mi radius
↳ cross_visits : Blue Bottle, CVS
↳ verdict : high footfall site
0M+
Global points of interest
0M+
US locations mapped
0M+
US parcels
Global
Coverage and delivery
What is footfall analytics

Turn real-world movement into decisions

Footfall analytics is the measurement of foot traffic at physical locations using aggregated, privacy-safe location data mapped to precise place boundaries. Instead of counting people at a single door, it uses large-scale mobile location signals matched to the exact footprint of a place, so you can measure visits to any store, mall, restaurant, or region without installing hardware. The result is a comparable, always-on view of visitation across thousands of locations at once.

How it works

From location signal to measured visit

Step 1

Location signals

Anonymous, consented device signals collected at scale across a population.

Step 2

Place boundaries

Each signal is matched to a precise point-of-interest polygon, so a visit maps to the right place.

Step 3

Visit modelling

Signals are cleaned and modelled into genuine visits, filtering out pass-through traffic.

Step 4

Extrapolation

The sample is scaled to the wider population for comparable, reliable metrics.

The metrics that matter

More than a visit count

Visits

Total visits in a period. The headline measure of how busy a location is.

Unique visitors

Distinct people who visited. Separates loyal repeat traffic from one-time reach.

Dwell time

How long visitors stay. A proxy for engagement and conversion potential.

Visit frequency

How often the same visitors return. The signal for loyalty and habit.

Trade area

Where visitors travel from. Defines a location's true catchment.

Cross-visitation

What other places visitors go. Reveals competitors, complements, and partners.

See it live

Explore footfall on an interactive map

The xMap Footfall Map lets you explore real-world visitation with no setup. Search a location, see visit density, and drill into a single site's patterns. It is the fastest way to understand what footfall data looks like before you request a dataset for your own locations.

Open the Footfall Map

footfall.xmap.ai
Use cases

What teams use footfall data for

Retail & F&B

Site selection

Rank candidate locations by real visitation and catchment before signing a lease.

Brands

Benchmarking

Compare your stores against each other and competitors on visits, dwell, and loyalty.

Analysts

Competitive intelligence

Track a rival's footfall and trade area, and measure the impact of their moves.

Real estate

CRE valuation

Value and market a property on demonstrated foot traffic, not estimates.

Marketing

OOH & local

Plan placements and measure lift against real visitation.

Any team

Custom geofences

Ask questions in plain language over any boundary you draw with Polygon AI.

Why xMap

Built on precise place data

Place-data precision

Visit accuracy is only as good as the boundaries behind it. xMap maps over 300 million places worldwide.

Metric depth

Dwell time, frequency, trade area, and cross-visitation, not just a visit count.

Global coverage

Countries and place types beyond a single market, so your analysis scales.

Flexible delivery

Interactive map, API, bulk export, and natural-language querying with Polygon AI.

FAQ

Footfall analytics, answered

What is footfall analytics?

Footfall analytics is the measurement of foot traffic at physical locations using aggregated, privacy-safe location data mapped to precise place boundaries. It produces comparable metrics such as visits, unique visitors, dwell time, and visit frequency across many locations without any on-site hardware.

How is foot traffic measured?

Foot traffic is measured by collecting anonymous device location signals at scale, matching each signal to the exact boundary of a place, modelling those signals into genuine visits, and extrapolating the sample to the wider population. Accurate place boundaries are what make the resulting visit counts reliable.

What is the difference between footfall and foot traffic?

There is no difference. Footfall and foot traffic are two terms for the same thing: the volume and pattern of people physically visiting a location over time.

How accurate is mobile location footfall data?

Accuracy depends on sample size, signal quality, and above all the precision of the place boundaries used to attribute visits. High-precision boundaries can distinguish visits to adjacent businesses, while coarse ones blur them together. Footfall figures are robust modelled estimates for comparison and trend analysis rather than exact turnstile counts.

How much does footfall data cost?

Pricing depends on the locations, metrics, coverage, and delivery you need, so it is quoted per project. Book a consult to scope a dataset and get a quote.

Is footfall data privacy compliant?

Reputable footfall analytics uses anonymous, aggregated, consented location data and reports at the level of places and populations, not identifiable individuals. Always confirm a provider's compliance posture for the markets you operate in.

Get footfall data for your locations

Explore the interactive map, browse the catalog, or talk to the team about a custom dataset.

Free 15-min call with a data expert. No slides, just answers.
Grab a slot →