pricefinder.com.au | property data solutions

Pricefinder provides real estate agents a quick and easy reference to the estimated price of a property within the current market or any time in recent history. Locations that work well have a good market turnover. Property types that work best are standard houses and units. Townhouses are treated as units within pricefinder, which may result in many town-homes being undervalued in some cases. Locations that generally do not perform well using models include non-metro areas, prestige and properties with water views.

How does the model work with houses in very poor condition?
Property in very poor condition may be over-valued, as it is often compared to sales of properties in normal or good condition. Whilst the model attempts to adjust its estimate based on condition, knock-down properties may also be over-estimated.

Adding parking spaces some times does not change the estimate. Why is this?
In inner city areas, parking often adds a premium to the property. In some cases, the model will not be able to use parking as a variable and automatically removes it. If you are entering a property that has parking and the estimate is undervalued, it may be due to this.

Will I get charged a transactional fee in the future?
No. Pricefinder is free to use as many times as you wish with your pdslive.com.au membership.

How well does it work?
We suggest you try it in your local area to figure out strengths and weaknesses. If you have any questions or feedback, simply contact us. We will be glad to receive your views and work to enahnce the model for your local market where possible.

How do I edit an attribute?
Click on EDIT icon (the pencil) to update the subject property details.

How do you calculate the pricefinder estimate?
The pricefinder estimate is based on data and statistical models. It is not a replacement for a professional valuation and should be used as a guide only.

What is the importance of the sample size?
Larger sample sizes (typically 20 or more) generally offer better estimates. If the number is too low, it will be reflected in the confidence indicator (red).