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Brief
Placer.ai

Placer.ai

Location Intelligence & Analyticsplacer.ai

Placer.ai democratizes access to location analytics by providing accurate, privacy-compliant foot traffic insights that enable businesses to understand consumer behavior in physical spaces and make data-driven decisions about site selection, marketing, and competitive strategy.

Last updated Jun 23, 2026 by the ATDb Editorial Team

Founded
2016
HQ
Los Altos, California, United States
Connections
5

At a glance

Employees
201-500
Funding
$180M
Revenue
$50M-$100M
2integrations2competitors

About

Leading provider of foot traffic analytics and location intelligence for physical retail and commercial real estate

Placer.ai is a leading location analytics and foot traffic intelligence platform that provides businesses with comprehensive insights into physical consumer behavior patterns. The company leverages anonymized mobile device location data to deliver actionable intelligence about foot traffic, trade areas, visitor demographics, and competitive dynamics for brick-and-mortar locations. Founded in 2016, Placer.ai has established itself as a critical data infrastructure provider for retailers, commercial real estate professionals, investors, municipalities, and consumer brands seeking to understand offline consumer behavior and make data-driven decisions about site selection, portfolio optimization, marketing effectiveness, and competitive positioning. While positioned at the intersection of location intelligence and marketing technology, Placer.ai serves a broader market than traditional AdTech, functioning as a business intelligence platform for the physical world. The company has raised significant venture capital funding and expanded rapidly, becoming a go-to solution for understanding foot traffic patterns, especially gaining prominence during and after the COVID-19 pandemic when understanding retail recovery and consumer movement became critical. Placer.ai's platform processes billions of location signals to provide insights that were previously only available to the largest enterprises, democratizing access to location intelligence across market segments.

Business model

SaaS

Target market

Mid-Market and Enterprise

What they offer

  • Foot Traffic Analytics

    Comprehensive foot traffic measurement and analysis for any physical location, providing visit counts, dwell time, and temporal patterns

  • Trade Area Analysis

    Detailed insights into where visitors come from, their home and work locations, and geographic distribution of customer base

  • Demographic Insights

    Visitor demographic profiles including age, income, household composition, and lifestyle characteristics

  • Competitive Intelligence

    Cross-shopping analysis and competitive benchmarking to understand market share and customer overlap

  • Site Selection

    Location evaluation tools for identifying optimal sites based on foot traffic potential, demographics, and competitive landscape

  • Marketing Attribution

    Measurement of offline marketing campaign effectiveness by tracking foot traffic lift and store visits

Key features

Real-time and historical foot traffic dataVisitor demographic profilingTrade area mapping and analysisCross-shopping and competitive analysisCannibalization analysis for multi-location retailersCustom POI (Point of Interest) analysisVisit frequency and loyalty metricsDwell time measurementMarket penetration analysisPortfolio performance benchmarking

Use cases

Retail site selection and expansion planningCommercial real estate investment analysis and due diligenceShopping center performance monitoring and tenant mix optimizationRestaurant location planning and competitive analysisMarketing campaign effectiveness measurementPortfolio optimization for multi-location retailersEconomic development and urban planningConsumer trend analysis and market researchLease negotiation support with foot traffic dataBrand health monitoring through store visit trends

Customer segments

Retailers and restaurant chainsCommercial real estate investors and REITsShopping center owners and operatorsReal estate brokers and advisorsConsumer brands and CPG companiesFinancial services and hedge fundsMunicipal governments and economic development agenciesMarket research firmsAdvertising agenciesFranchise organizations

Tech & specs

Technology stack

Location data processing and normalizationBig data analyticsMachine learning for pattern recognitionCloud infrastructure (AWS)Geospatial analysis toolsData visualization platformsPrivacy-preserving data aggregation

Security & compliance

GDPRCCPAPrivacy-compliant data practicesAnonymized and aggregated data only

Deployment

Cloud

API

Yes

Corporate history
  1. 2016 · Founded

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