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Pathzz continuously analyses raw mobility data from 15–17 million devices daily, capturing 70–75% of active mobile devices via GPS signals and apps.

Our proprietary algorithm transforms this data into modelled visitation insights and customer profiles—revealing how consumers interact with your locations, their visit frequency, and evolving behaviours.

More than just foot traffic analysis, Pathzz connects visitation trends, customer segments, and competitive positioning.

Our algorithms benchmark data daily against verified sources and published traffic data, ensuring accuracy and reliability.

Our methodology is validated by the University of Melbourne and the Royal Society of Open Science. Read more here.

Fully compliant with Australian privacy regulations and GDPR, Pathzz de-identifies, aggregates, and extrapolates data to maintain privacy while delivering powerful insights.

With real-time analytics and an intuitive interface, Pathzz helps you unlock deep customer intelligence instantly—empowering data-driven decisions that drive growth.

Our modelled data is refreshed daily, with visitation data updated on a two-week rolling basis.

Pathzz CI historical data dates back to June 2019.

A visit is recorded when a mobile device remains in a location for at least 3 minutes. This threshold helps us enhance data accuracy by excluding those who are merely passing by.

Pathzz business categories are modelled on the United Nations categorisations.

Network Planning & Site Selection

  • Locate competitive areas for new stores.
  • Detailed site analysis to assess site options.
  • Determine brand impact and market cannibalisation against competitors.
  • Utilise Pathzz AI for site recommendations and sales forecasts.

Portfolio Optimisation

  • Benchmark and compare your network and category competitors.
  • Identify underperforming stores based on foot traffic.
  • Analyse visitor and customer behaviour to identify strategic growth opportunities.
  • Measure the impact of competitor’s locations on your locations.
  • Identify highly contended customer segments and battleground suburbs.

Operations

  • Inform opening hours by analysis of visitation by time of day.
  • Identify cross visitation to inform local area marketing partnerships.

Marketing

  • Identify customer catchments and competitor's customer catchments at an individual store level.
  • Understand visitor origin and your relationship in the trade area to uncover opportunities to increase market share.
  • Geographically target competitor catchments to increase market share.
  • Measure the impact of competitor’s campaigns on visitation.

Property Leasing

  • Negotiate lease prices and renewals based on actual visits.
  • Identify new areas to expand or relocate stores based on demand.
  • Forecast sales performance of new locations based on foot traffic and customer profiles.

Franchise Aquisition

  • Locate competitive areas for new stores.
  • Attract new investors and licensees.
  • Determine brand impact and market cannibalisation against competitors.

Benchmarking & Portfolio Optimisation

  • Benchmark and compare your Centre’s occupancy  rates and visitation to other precincts in the live trade area, asset class or portfolio.
  • Measure the impact of competitor’s locations on your location.
  • Identify highly contended customer segments and battleground suburbs.
  • Opening and early operation performance tracking to meet expectations
  • Comparative site analysis for declining or underperforming assets.

Leasing

  • Identify retailers and services that drive higher visitation to centres.
  • Understand saturation of categories and brands in the trade area to inform strategy.
  • Gain understanding of brand affinity and cross visitation to other locations for tenant targeting.
  • Provide prospective tenants with live trade area analysis and demographics.
  • Use location intelligence to negotiate lease prices and renewals.

Marketing & Community

  • Understand the live trade area based on visitation rather than km radius to track changing demographics and visitor behaviour.
  • Identify the centre’s relationship with customers by suburb and uncover opportunities to increase market share.
  • Track the impact of community events and promotions on football relative to other Centres.
  • Identify key stakeholders in the live trade area to prioritise in your community strategy.
  • Understand the Centre’s connection to the wider community ecosystem with visitor behaviour and movement insights.

Development

  • Benchmark potential redevelopment strategies against successful case studies within the Pathzz database.
  • Evaluate the feasibility and projected success of alternative uses for your property including sales with Pathzz AI.

Placemaking

  • Understand visitor interaction from the Centre to the wider community.
  • Identify cross visitation to other locations of interest including brands, attractions, competitors, public spaces.

Centre Operations

  • Optimise Cleaning and Security coverage to align with visitation by time of day.
  • Understanding the changing community needs to consider Centre Trading Hours. 
  • Enhance Tenant Relationships with Performance Reports: Compare with Other Precincts and Categories to Identify Trends.

Benchmark & Measure

  • Understand visitation trends across any location including hospitals, main streets, and public spaces like parks, playgrounds, amenities.
  • Comparative site analysis
  • Benchmark and compare visitation to other precincts.

Economic Development

  • Learn visitation trends over the hours of the day, days, weeks, months, years. 
  • Understand the live main street trade area based on actual visitation and track changing demographics and visitor behavior.
  • Understand visitor origin and your relationship in the trade area to uncover opportunities for economic development.
  • Identify cross visitation to other locations of interest.

Infrastructure Prioritisation

  • Understand pathways utilised to any location and the estimated level of visitors 
  • Learn visitation trends for public spaces and amenities like train stations, public toilets, playgrounds, parks.
  • Understand where to invest based on community usage.

Revitalisation Projects

  • Understand visitation trends, dynamic demographics, and consumer behaviour to make informed decisions about where to focus revitalisation efforts.
  • Identify growth opportunities and emerging economic hubs.
  • Identify areas for design enhancements that encourage more frequent and diverse use, such as improved lighting, seating, and recreational facilities.

Tourism Strategy

  • Understand origin of visitors to any location
  • Identify cross visitation to other locations of interest including brands, attractions, competitors, public spaces.
  • Understand the impact of local community events to secure investment.

Placemaking

  • Understand how visitors utilise space.
  • Measure and benchmark projects
  • Identify cross visitation to other locations of interest including brands, attractions, competitors, public spaces.
  • Analyse visitation and dynamic demographic data to identify under utilised areas.
  • Develop targeted initiatives such as pedestrian zones, public art installations, and small business incentives to attract more visitors.

Placemaking

  • Understand how visitors utilise space.
  • Measure and benchmark projects
  • Identify cross visitation to other locations of interest including brands, attractions, competitors, public spaces.
  • Analyse visitation and dynamic demographic data to identify under utilised areas.
  • Develop targeted initiatives such as pedestrian zones, public art installations, and small business incentives to attract more visitors.