Top FAQs

What is lifestyle data used for?

Created by citymakers, for citymakers, our unique real-time data sets are used by anyone interested in place performance.

Typical questions answered include:

  • Who are the important local stakeholders?
  • Where do visitors come from?
  • Where do people spend the most time?
  • What local amenities does a neighbourhood offer?
  • What does the neighbourhood offer at night, or on the weekends?

Our users include:

  • Place managers
  • Asset owners
  • Traders & operators
  • Local governments

See more use cases here

What does my account include?

All Neighbourlytics accounts include access to:

  • Australia-wide coverage, and 9,300 report locations
  • Monthly data refresh - ensuring you always have access to the latest month
  • Vital lifestyle data tools such as activity hotspots, visitation, and amenities mapping

We have three access levels available.

Starter (free)

  • Access all our core tools
  • Easy sharing
  • Add-on or upgrade at anytime
  • Save 3 reports in your library

Pro

  • Historic data results
  • Temporal analysis
  • Download in CSV / PNG
  • Save 50 reports in your library
  • Discount to add-ons

Advanced

  • Explorer Tool always on
  • PDF download

Go to features & pricing

Where does the data come from?

Neighbourlytics' unique data system is powered by real-time digital data feeds, including the following:

  • Presence data - where people move around and spend time, to reveal local habits at a neighbourhood level
  • Local amenities - aggregated from numerous open source mapping platforms, revealing the neighbourhood as seen through locals' eyes
  • Social chatter - public social media posts and reviews to provide insight into local lifestyle values
  • Accessibility - utilising the real world movement networks, our tools can plot accessibility by various modes

Unlike surveys or feedback systems - which rely on community members to directly input information - our data sources are created when people are using their local neighbourhood. This increases participation proportions and limits the bias that comes with 'feedback'.