Reading a track record well is a skill. It requires knowing which metrics matter, how each one can be distorted, and what questions cut through the presentation to the substance beneath.
What Makes Agent Performance Data Misleading
Cherry-picking by suburb or price bracket is equally common. An agent who operates across multiple price points will showcase results in the bracket that performed best. An agent who lists across multiple suburbs will feature the ones where their results were strongest. The seller comparing agents needs to ask specifically about results in their suburb and at their price point - not the agent best results overall.
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.
The numbers tell part of the story. The context tells the rest.
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.
DOM tells you speed. Vendor discount tells you price. Clearance rate tells you consistency. None of them tells the full story alone.
How to Verify What an Agent Track Record Is Claiming
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.
These questions are not adversarial. They are the minimum due diligence a seller should bring to an agent selection that will determine the outcome of one of the largest financial transactions of their life. An agent who is uncomfortable with specific questions about their own performance is revealing a preference for controlled presentation over transparent evaluation - which is itself a relevant piece of data about how they will handle the campaign.
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 one who deflects them is showing you the same behaviour they will show buyers when holding price gets difficult.
Turning Track Record Analysis into a Useful Selection Tool
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.
Track records are the starting point. The questions you ask about them are the tool that makes the starting point useful.