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OUR OBJECTIVE

Our research shows that almost 50% time is spent to analyse where to buy property, most buyer agents, marketing teams of property developers, who are YouTubers would drop a suburb name once that suburb is out of ideal buying window. Inexperienced investors then jump on these suburbs and experience below average returns. Many of the buyer agents follow each other and recommend/buy in these suburbs then ask cool hundreds of thousands of dollars to buy their course or use expensive buying agent service

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Data-driven analysis is crucial for successful property investment in Australia. While traditional methods like "driving around a suburb to get a feel for it" were common in the past, the rise of data science and AI is transforming the industry. Our Top 5 oz realestate newsletter explores data-driven factors to consider when analysing property in Australia.

The Importance of Data Accuracy and Reliability

Accurate and reliable data is crucial for understanding supply and demand dynamics in the property market. Different data providers might have different ways of calculating metrics, leading to discrepancies. For instance, days on market (DOM) data can vary significantly across platforms. It is crucial to understand the data source and methodology used to calculate specific metrics before making investment decisions.

Free data can be misleading and potentially lead to costly mistakes. Investing in reliable data sources is crucial for long-term success.

Key Data Points for Analysis

We use several data points to understand and analyse properties:

• Demand to Supply in a suburb This factor assesses the balance between supply and demand in a suburb. We look for stronger demand relative to supply, potentially leading to higher capital growth

• Rental Yield: Rental yield measures the annual rental income as a percentage of the property's value. While high rental yields can be attractive, focusing solely on yield can be misleading. It's crucial to analyse other factors, such as capital growth potential and vacancy rates. Investors should consider the net rental yield, which factors in expenses like property management fees and maintenance costs, rather than just the gross yield.

• Vacancy Rates: Low vacancy rates indicate strong rental demand in a particular area. When analysing a property, consider the vacancy rates not only in the specific suburb but also in surrounding areas.

• Population Growth: Contrary to popular belief, population growth at the suburb level is more likely an indicator of supply rather than demand. As population increases, new housing supply often follows to accommodate the influx of residents.

• Infill Risk: Investing in properties near large tracts of vacant land zoned can pose a risk due to the potential for future oversupply. Analysing development applications can help assess infill risk, but it's not a foolproof method. A safer approach is to invest in established houses in built-up areas.

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Utilising Data for analysing properties

• Suburb Shortlisting: Data-driven tools can help investors quickly shortlist potential investment suburbs based on their investment criteria.

• Property Type Selection: Historical data reveals that houses tend to outperform units in terms of capital growth. Investors should be cautious when considering units, especially in areas with potential oversupply.

• Market Entry and Exit: Data on capital growth trends, recycling costs, and opportunity costs can help investors make informed decisions about entering or exiting a particular market.

Get 5 properties which pass our exhaustive data analysis test

Analysing Australian property using data-driven factors can significantly speed up your investment search. By understanding key data points, utilising reliable data sources, and seeking professional advice, individuals can make more informed and objective decisions.

Our aim is to send you 5 public listed properties in Australia which pass our data analysis benchmark every week

Why believe us

Our small team has built a property portfolio worth 2mn+ using these exact data driven strategies

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