Data-Driven Decision Making
We harness big data and proprietary tools to enhance property planning, suburb selection, purchasing and portfolio management for our customers.
We use data-driven strategies, custom models and expert insights for smarter planning and suburb selection.
We place great importance on data, and for good reason. Our data-centric strategy provides property buyers and owners with essential insights. Through the sourcing and examination of comprehensive and uniquely structured datasets, we improve all stages of property planning, suburb selection, and acquisition. Our approach relies on top-tier private and public data agencies, AI, and analysis from industry experts with decades of experience, to ensure you can make the most informed decision.
Data points for every suburb
Investment in Research & Development
Suburb Selection
Identifying appropriate markets for investment is a complex undertaking. Our proprietary software uses advanced machine learning algorithms to pinpoint the most promising suburbs for growth and cash flow nationwide, empowering our clients to invest in properties that exceed average performance.
This tool consolidates information from over 1,500 data points for every suburb, region and city in Australia, with records going back to 1980 (1991 for ACT, 1993 for SA, and 1999 for NT). Our database is sourced from CoreLogic, ABS, RBA, Google Maps, Government and Council, and numerous other public and private data sources.
Proprietary Models
Our proprietary models have taken years to develop and refine, and now power our competitive edge.
Our automated Game Plan™ generator takes a client’s circumstances and goals - including their starting budget, existing property portfolio and risk tolerance - along with our extensive database, as inputs, then processes thousands of potential combinations to deliver a draft Game Plan™ to our property economist for final adjustments.
Our capital growth forecasting tool tailored for the Australian residential property market leverages extensive data from CoreLogic, ABS, RBA and others, then uses advanced time series forecasting techniques from traditional statistical analysis and machine learning to provide precise predictions on capital growth, helping our customers make more informed investment decisions.
To date we’ve invested over $4.5 million into research and development for our AI-driven property solutions. As we continue to invest more each year, we remain committed to making the property buying and owning journey simpler and more accessible.
Take the next step today
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