REA has launched its AI-powered PropTrack Buyer Impact Model, developed by REA Group’s data business PropTrack and independently reviewed and validated by Deloitte.
The model looks at billions of consumer interactions with listings and property pages on realestate.com.au and property.com.au, alongside national property sales data.
realestate.com.au reveals new PropTrack data showing that buyer engagement is recorded on nine in ten properties listed on the platform that go on to sell.
“AI is the key accelerator of this kind of data analysis. Without it, building a model like the PropTrack Buyer Impact Model would take years, not months.”
Kul Singh, Group Chief Commercial and Marketing Officer, REA
Over 1.3 million Australian property sales which took place between August 2023 and November 2025 were assessed within the analysis. The methodology and findings were independently validated by Deloitte.
REA Group says this marks the first independently verified buyer impact claim of its nature in the Australian market.
“This new buyer impact model, the first of its kind to be independently verified, shows that realestate.com.au records buyer engagement on nine in 10 properties listed that go on to sell. It’s consistent with what customers have been telling us for years, with nine in ten agents recommending realestate.com.au as their platform of choice.
“For us, any form of claim is extremely important, and we want to ensure that we are focused on accuracy and transparency in results. So we wanted to get that independently verified by Deloitte.
“We see a predictable pattern of behaviour as consumers move from browsing to finding ‘the one’. Beyond enquiries and views, the model maps and analyses 25 distinct behaviours including engagement with immersive content, listing saves and shares, agent contact reveals and inspection actions.”
Kul Singh, Group Chief Commercial and Marketing Officer, REA
The model identifies buyer engagement over 25 behavioural signals, which includes actions such as listing saves, shares, time spent on listings, image engagement, agent contact reveals and inspection activity.
It also reveals that eventual buyers spend nearly seven cumulative hours on a listing and view 28 times more property images than non-buyers.
The analysis looks at REA Group’s scale, including 12.7 million monthly visitors and over five million Australian properties tracked on the platform. REA says AI-enabled analysis allows behavioural patterns to be drawn at scale and linked to properties that ultimately sell.
The model does not include unsold listings and viewing activity on third-party platforms. Buyers may also use multiple platforms during their search process.
“To model buyer presence at the point of sale with this level of confidence, you need a critical mass of listings that sell, and audience depth sufficient to observe the full behavioural arc of a genuine purchase decision. This is one of our unique points of difference – no one else can match this data at the scale of REA Group.
“The aim of the analysis was to demonstrate the true value of listing with realestate.com.au and how this impacts a property sale. To do this we looked at the total market, as well as specifically narrowing to properties listed on our platform.”
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Kris Matthews, Executive General Manager, PropTrack Australia
Kul further explains that the model reflects predictable consumer behaviour as buyers move from browsing to higher-intent engagement. He adds that independent validation is essential to maintain transparency and accuracy.
Ultimately AI has significantly accelerated the development of the model and the scale and depth of data underpin the findings.
