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Foot Traffic Data

Foot Traffic Data

Analyze real-world visits to commercial places of interest powered by a historical sample of consented mobile location data. Unacast Location Intelligence, available via on-demand APIs or as a bulk data delivery, provides decision-ready foot traffic insights to build the analysis your business needs.

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How Customers Use Location Intelligence for Foot Traffic

Unacast Location Intelligence delivers area-level visitation data straight into your own models, platforms, and workflows, so you can answer where people go, when, and how often on your own terms.

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Understand Area Trends

See how visitation to an area changes on an hourly, daily, weekly, and monthly basis. Use the Area Visitors trends endpoint to track movement across commercial places of interest, and Trade Areas to understand where those visitors travel from.

Explore Area Visitor Trends
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Smarter Site Selection

Evaluate how a prospective location is likely to perform before you commit. Analyze ranked visitation, trade-area origins, and demographic context for a shortlist of brands, categories, or regions, and see which sites draw the visitors that matter to the deal.

Evaluate Your Next Location
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Competitive Intelligence

Apply custom geofences to any set of locations — yours and your competitors' — and compare visitation patterns across all of them using the same polygon, time range, and forensic filters.

Map Your Competitive Landscape
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Identity Resolution & Audience Targeting

Retrieve mobile advertising IDs and combine them with Unacast data linkages to build identity graphs or power audience-based targeting. Personas adds behavioral intelligence, so you can understand the types of people visiting an area and activate against them.

Activate Behavioral Segments

Four APIs for Location Intelligence

Location Intelligence is made up of four analytics APIs, applicable to locations of interest across the globe. Each takes a polygonal geofence, a time range, and the forensic flags you choose to apply.

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Area Visitors

Who and How Many

Quantify visitation to any custom area over time. Submit a polygon and a date range, get back unique device counts and visitation trends. Use the trends endpoint to surface spikes by day of week, holiday, or campaign period.

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Observations

Behavior Within the Area

On-demand access to our global Observations dataset. Timestamped, coordinate-level signals with device type and forensic flags, so your team can filter by signal behavior and model longer-window patterns and seasonality.

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Trade Areas

Where Visitors Come From

Uncover the origin ZIP codes and census block groups of your visitors, returned with demographic context including total population, median income, and full geographic hierarchy. Compare sites to see which locations draw which audiences.

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Personas

Behavioral Segmentation

Understand who visits an area. Returns the dominant persona segments for your polygon across behavioral attributes (in-market behavior, lifestyle, interest group, brand affinity, visit frequency), demographics and life stage, geography, device type, and B2B segment.

Two Ways to Access the Data

Location Intelligence APIsLocation Intelligence DaaS
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Location Intelligence APIs

On-demand access to Area Visitors, Observations, Trade Areas, and Personas. Submit a geofence and a time range, get results back in the moment. Best for teams building their own analysis, tooling, or client-facing platforms.

Best for teams building their own analysis, tooling, or client-facing platforms.
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Location Intelligence DaaS

Dependable, scheduled delivery of the underlying location data at volume, for teams running their own pipelines and warehouses. Best when you want the raw signals in your own environment.

Best for teams loading location data into a warehouse, lakehouse, or existing data pipeline.
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Built on Consent-Based Data

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Opt-in sourcing

We license pseudonymous location signals from aggregators representing SDKs across tens of thousands of mobile apps. Consumers opt in to location sharing before any data is collected.

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Patented forensics

Proprietary signal analysis identifies anomalies, patterns, and low-confidence data points, so flawed and duplicate signals are flagged before they reach you.

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Privacy and security standards

We maintain data protection practices aligned to GDPR, CCPA, and NIST CSF.

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Frequently Asked Questions

Whether you’re looking to understand real-world consumer behavior or improve your marketing strategies, find answers to your most common questions and effectively leverage Unacast’s location data.

What is foot traffic analysis?

Foot traffic analysis examines how people move through and visit physical areas: how busy a place gets, when activity peaks, and how visitation shifts over time. It's used to plan operations, evaluate locations, and understand consumer movement at a market level.

How do you analyze foot traffic data?

Analysis starts with visitation volume to a defined area over time, then layers in trend comparisons across periods and locations, and origin analysis to understand where visitors come from. Unacast delivers these signals through APIs and data feeds, so your team can model them alongside your own first-party and transaction data.

Can I measure visits to my own stores?

Our data measures devices observed within an area you define. To attribute those observations to your own customers, teams typically append the data to their transaction or first-party records.

Why is foot traffic important?

Foot traffic is a leading indicator of real-world activity in a market. Understanding it helps organizations evaluate locations, benchmark areas against one another, and spot shifts in consumer movement early.

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Meet with us and put Unacast’s data to the test.
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