realestate.com.au has released new PropTrack data showing buyer engagement is recorded on 9 in 10 properties listed on the platform that go on to sell¹.
The insight comes from a new AI-powered PropTrack Buyer Impact Model, developed by REA Group’s data business PropTrack and independently reviewed and validated by Deloitte.
The model analyses billions of consumer interactions with listings and property pages on realestate.com.au and property.com.au, alongside national property sales data.
More than 1.3 million Australian property sales between August 2023 and November 2025 were assessed in the analysis. The methodology and findings were independently validated by Deloitte, which REA Group says marks the first independently verified buyer impact claim of its kind in the Australian market.
The model identifies buyer engagement across 25 behavioural signals, including listing saves, shares, time spent on listings, image engagement, agent contact reveals and inspection activity.
It also shows that eventual buyers spend almost seven cumulative hours on a listing and view 28 times more property images than non-buyers.
The analysis draws on REA Group’s scale, including 12.7 million monthly visitors² and more than 5 million Australian properties tracked on the platform. REA says AI-enabled analysis allows behavioural patterns to be mapped at scale and linked to properties that ultimately sell.
The model excludes unsold listings and viewing activity on third-party platforms. Buyers may also use multiple platforms during their search process.
REA Group Chief Commercial and Marketing Officer, Kul Singh, said the findings reflect both platform scale and long-standing feedback from agents and customers.
“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.”
He said independent validation is important to ensure transparency and accuracy.
“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.”
The model, he explained, reflects predictable consumer behaviour as buyers move from browsing to higher-intent engagement.
“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.”
PropTrack Executive General Manager Kris Matthews said the scale and depth of data underpin the findings.
“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.”
He said AI has significantly accelerated the development of the model.
“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.
Mr Singh adds: “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.”
The PropTrack Buyer Impact Model assesses properties listed on realestate.com.au and sold between August 2023 and November 2025, alongside related engagement activity on realestate.com.au and property.com.au.
The model excludes unsold listings and third-party platform activity. Buyers may also have viewed properties on other platforms during their search.
The methodology and findings were independently reviewed and validated by Deloitte Australia based on data provided by PropTrack.
Notes
¹ Excludes o+ portal sales and unsold listings. Buyers may also have viewed properties on third-party platforms during their search.
² Ipsos iris Online Audience Measurement Service, Jul 2025 – Dec 2025 (average), P14+, PC/laptop/smartphone/tablets, text only, Homes and Property Category, Brand Group, realestate.com.au audience (000’s).