How to Evaluate a Real Estate Agent Without Being Fooled by Their Stats

Sellers who approach agent track records as transparent performance data make worse agent selections than sellers who approach them as curated marketing material. The difference is not cynicism - it is the appropriate calibration for a document that is prepared by the person being evaluated.

Most sellers do not know what to look for in an agent track record. They look at the price and the suburb and form an impression. What they should be looking for is a set of ratios, patterns, and gaps that the agent did not include.

The Problem with Taking Agent Sales Records at Face Value



Omitting failed campaigns is the third distortion. An agent track record shows sales. It does not show listings that expired without selling, properties that were withdrawn after prolonged market exposure, or campaigns where the final price came in significantly below the original asking price. Those outcomes exist. They are just not presented.

The result is that two agents with genuinely different performance levels can present track records that look similar to a seller who does not know what questions to ask. The surface presentation - suburb names, sold prices, a headline clearance rate - can be assembled to look almost identical from very different underlying performance histories. The difference between them is visible only if the seller asks for the full picture rather than accepting the edited version.

What an agent includes in a track record is information. What they leave out is also information.

What DOM and Vendor Discount Rate Tell Sellers About Agent Performance



Days on market measures how long a property was listed before going under contract. A low DOM suggests the campaign generated prompt buyer interest and the offer stage was reached quickly. A high DOM may indicate overpricing, insufficient buyer activity, or a campaign that lost momentum and never recovered. Neither number is meaningful in isolation - context determines what it actually signals. DOM must be read alongside the gap between list price and sale price to have meaning.

In the local market, where comparable sales are available and verifiable, sellers can cross-reference agent-presented results against publicly available sold data. That cross-referencing is the most reliable way to verify that the track record being presented reflects the full picture rather than a curated selection.

Numbers without ratios tell you what happened. Ratios tell you how well it was managed.

The Questions That Get Past Polished Sales Data



Ask for the average vendor discount across their recent sales. If the agent presents this voluntarily, it is a positive signal. If they do not, ask for it directly. A vendor discount of one to two percent across a competitive market is a strong result. Five percent or more requires an explanation - either the market was difficult, the pricing was consistently optimistic, or the negotiation was not holding price.

Sellers who ask these questions find that most agents answer them reasonably well. The ones who do not answer them well are the ones worth knowing about before signing, not after week four when the consequences of the selection are already accumulating.

The cumulative effect of asking specific questions is a track record picture considerably more useful than the one the agent presented unprompted. Clearance rate, vendor discount average, suburb-specific recency, and transparency about failed campaigns together give a seller a working model of performance grounded in verifiable data rather than curated highlights. That model does not guarantee the right choice. It significantly reduces the probability of the wrong one.

The agent who welcomes precise questions has nothing to hide.

How to Use Track Record Research to Make a Better Agent Decision



Sellers who do the research before the listing presentation rather than relying on the agent to frame it for them real estate data manipulation tend to arrive at the negotiation stage with an agent whose performance the data already supports.

The research takes an hour. The agent relationship lasts six to eight weeks.

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