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A buyer may have spent seven hours looking at this property online.
Property buyers spend an average of seven hours viewing an online home listing before eventually deciding to buy, shock new data has revealed.
A PropTrack analysis of more than 10 billion consumer data points and more than 1.3 million properties sold between August 2023 and November 2025 on realestate.com.au has yielded groundbreaking new insights into the habits of Aussies searching for properties online.
PropTrack’s newly developed AI-powered Buyer Impact Model has connected real buyer behaviour with actual property sales for the first time, mapping and analysing 25 distinctive behaviours, including engagement with immersive content, listing saves and shares, agent contact reveals and inspection actions.
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Some of the most astonishing behaviours include buyers spending seven hours in total on the listing for the property that they end up purchasing; consuming property images 28 times more than non-buyers and sharing listings 142 times more than non-buyers.
The research also revealed that nine out of 10 buyers of properties listed that go on and sell are attracted and engaged by realestate.com.au.
Kris Matthews said the data was made possible by the scale of REA’s online audience.
PropTrack Executive General Manager, Kris Matthews, said the combination of data scale, depth of audience engagement, and new AI capability underpins the analysis of the buyer impact data, which was independently reviewed and validated by Deloitte.
“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,” Mr Matthews said.
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“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. 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.”
REA Group Chief Commercial and Marketing Officer, Kul Singh, said the new data reflected the scale and quality of the realestate.com.au audience.
Kul Singh said buyers exhibited a ‘predictable pattern’ of behaviour.
“Our audience of 12.7 million monthly visitors underpins the value of listing with us, and this new data takes it a step further, Mr Singh said. “For the first time, agents have measurable evidence to demonstrate to vendors that the sale of their home can be directly linked back to the impact of their realestate.com.au advertising campaign,” Kul said.
“We see a predictable pattern of behaviour as consumers move from browsing to finding ‘the one’.”