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.
Why Agent Track Records Are Easy to Misread
The most common form of track record distortion is selective date range. An agent who had a strong eighteen months two years ago and a weaker recent period will present the strong period - and present it as representative of how they work now. The seller who does not ask for recent results - specifically the last six to twelve months - is looking at historical performance that may not reflect the agent current capability, current market activity, or current level of engagement in the relevant suburb.
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 stronger agent has consistent results across a longer period, in the relevant suburb, at the relevant price point, with a low vendor discount rate.
A track record without context is a highlight reel.
How to Interpret Days on Market and Sale Price Data
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. On its own, DOM is incomplete - a property that sold quickly at a large discount from asking price is not a strong result.
In the northern suburbs 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
Track record research does not produce a perfect agent selection. It removes the worst mistakes. The seller who asks for clearance rates, vendor discount averages, and suburb-specific results has eliminated the agents whose polished presentations concealed genuinely poor performance. What remains is a comparison between agents whose numbers hold up to scrutiny - and at that level, the selection comes down to process, communication style, and local knowledge. That is a better problem to have than choosing between an agent with strong data and one with curated data, which is the choice most sellers face when they do not ask the right questions.
Doing the work before signing costs nothing. Not doing it costs more than most sellers expect.