Get started now to join Australia's leading place managers in accelerating community research and reporting.
No set up required. Create your account today to access instant reports
Utilise monthly movement results to understand the visitation patterns in and around your location. Compare locations, and track change over time.
Find the local attractions and businesses that bring people to the neighbourhood. Spot strengths and gaps, and understand how the offer differs in evenings or weekends.
Access instant dwell mapping for any Australian suburb, to see where people spend time across a neighbourhood, and how this changes across the day and week.
Our proprietary data sets were built by placemakers for placemakers, to help you measure what matters across any Australian neighbourhood.
Learn more about our data
Great community management requires a strong relationship with local stakeholders. Key local organisations are identified and mapped.
Answer questions like:
Utilise monthly movement results to understand the visitation patterns to your neighbourhood or asset. Compare locations, or track changes over time.
Answer questions like:
Access instant dwell mapping for any Australian suburb, to see where people spend time across a neighbourhood, and how this changes across the day and week.
Answer questions like:
Deep dive into the demographic and household profile of the area to understand the makeup of the area. Use this to accelerate your feasibility process and and uncover new development opportunities.
Answer questions like:
See beyond demographics by tapping into local chatter to reveal what locals love to do, how they spend their time, and how they socialise.
Answer questions like:
Map the trends place activation over time to understand why people visit and quantify the positive impact of your placemaking project or development over time.
Answer questions like:
Successful neighbourhoods provide a diversity of amenities to support the local needs.
Having a wide offering of local amenities provides increased opportunities to attract local people to visit and stay in the neighbourhood.
Gaps in the amenity mix may indicate areas of improvement or further investment, while strengths may show the main reasons people visit the neighbourhood.
What is the amenity mix?
Where are the amenity gaps?
What is the day time vs night time economy?
What amenities are trading on week day vs weekends?
What are the most important places and stakeholders?
Who are the true local stakeholders?
What are the most valued community groups for our community strategy?
Who influences the local community?
How can I contact them?
What might be some of the social issues in this neighbourhood?
Amenities data is created by pulling together 'points of interest' information from a number of crowd-sourced and open-sourced mapping systems.
While using community-generated data input can lead to 'inconsistencies' in the data - for example, a park coming through with a name different from the name gazetted by the local authority - by utilising community-generated data, this map reflects the neighbourhood as mapped by the local users.
Mobile phone movement data is harnessed monthly to plot where people spend time across a neighbourhood. Able to be filtered by time of day or week, this tool provides a sophisticated understanding of local dwell patterns across the country.
What locations across the suburb are the most active?
What locations across the suburb are the most exposed?
Does a particular focus site have good exposure?
Where do people spend time during the day, at night, during the week, or on the weekends?
Does the suburb have strong night time activity?
What local assets are driving visitation?
Capturing digital presence data for a 4-week period enables the mapping of activity hotspots - the locations people spend the most time in across the neighbourhood.
To highlight local places people visit and dwell, movement data (such as travelling by vehicle) and residential data (such as time spent at home) have been removed from the data set.
The graphics are scaled to the data capture area, meaning that areas of "high" activity, are high relative to the overall results for that single data boundary.
Digital presence data is used to determine the ‘home’ location of visitors to the subject neighbourhood and map the surrounding suburbs that local residents visit when the leave the subject neighbourhood. This analysis is undertaken at a catchment of 25km.
Understanding where visitors to a neighbourhood come from can highlight the attractors to a neighbourhood. Understanding where residents go can highlight amenity gaps allowing you to uncover opportunities to strengthen the catchment area or development.
Where do visitors to the neighbourhood come from?
Where do residents from the neighbourhood visit?
Digital presence data is used to determine the 'home' location of visitors to the subject neighbourhood and map where visitors originate from at a suburb level.
It is also is used to map the surrounding suburbs that local residents visit when they leave the subject neighbourhood.
This analysis is undertaken at a catchment of 25km.
By examining the geography that can be reached within a short walk or short drive of the neighbourhood’s centre, you can understand who the people are who are likely to utilise your neighbourhood.
Understanding the age breakdown of your neighbourhood is critical to inform amenity planning. Neighbourhoods that have a higher proportion of pre-school aged children will utilise open spaces differently to those with a higher proportion of high-school aged children. Or neighbourhoods with a lower proportion of working aged residents compared to those of retirement age may rely differently on local community services.
Who are the people that are likely to utilise the neighbourhood?
What is the age breakdown?
Who can access my neighbourhood within a short walk or short drive?
What can residents easily access on foot?
The walking isochrone maps show how far people walk from a specific destination in a specific time, considering typical walking speeds and geographic conditions, such as available routes and barriers.
The driving isochrone maps show you how far vehicles travel from a specific destination in a specific time, by considering allowable and typical driving speeds and the road network.
These plots are generated from a publicly available base map, which is updated in real-time, meaning real-life changes to the pedestrian and movement network will change the isochrone results.
The residential population within the irregular isochrone plots is calculated using aerial photography to estimate population density. This means the residential population is not assigned to roads or parks, while higher densities of residents are assigned to high-rise buildings.
By examining local chatter at a neighbourhood level it is possible to gain insight into how people love to socialise, where they love to spend time, and what activities they love to spend time doing.
The way local people talk about their lives, and what they choose to post online about their experiences is a key indicator of local values.
How do people love to spend their time?
What activities do people value?
How do people socially connect?
What local places do people love?
Social media is full of chatter about the things people want their friends to know they did. This ‘bias’ reveals the shared lifestyle values across a neighbourhood in the previous 30 days.
Successful neighbourhoods provide a diversity of amenities to support the local needs.
Having a wide offering of local amenities provides increased opportunities to attract local people to visit and stay in the neighbourhood.
Gaps in the amenity mix may indicate areas of improvement or further investment, while strengths may show the main reasons people visit the neighbourhood.
How does engagement with local amenities change over time?
How do different lifestyle categories change over time?
Tapping into unconventional digital sources such as ratings, reviews and social media posts, our lifestyle data can be tracked across time by plotting to velocity of digital interactions month by month.
We have pioneered a unique data ingestion and computation method to uncover the unique identity of local neighbourhoods, in real time.
Point of interest and amenities data is gathered as geo-located places from mapping platforms
The information gathered from these sources is crowd-sourced and includes details like the place name, location, description, opening hours, and type of place. It also includes ratings and reviews, check-ins and likes.
From this we can understand the amenity mix of a location as well as how important individual places are in the neighbourhood.
Behavioural data is generated from aggregated, anonymised, mobile phone location data.
Location is one of the most accurate predictors of behaviour and a valuable insight into local life. By utilising mobile phone location data generated by app 'pings', our data system recognises nearly 10,000,000 mobile devices every month.
The results are carefully cleaned, checked and thresholded to ensure representative results across Australia.
Values data is gathered from the publicly posted 'chatter' across local neighbourhoods.
The local experiences that people choose to post about online, provides an clear insight into what locals value about their lives.
Publicly posted content is gathered from various sources to mitigate bias, and classified into 80+ lifestyle categories to reveal how people love to spend time, how they socialise, and the places the love to spend time.
Proprietary people and behavioural data to give you actionable customer and location insights you can't get anywhere else.
Benchmark and compare suburbs, identify new competitive advantages and pin point development opportunities.
Explore and compare the way people visit, gather and move around for any suburb.
Uncover lifestyle trends, customer insights and amenity needs with a 20 minute walk of any site.
