GuidesPublished on 4 min read

Days on Market Evidence: Contract Dates, Campaigns and Relistings

Yan Zhu

Yan Zhu

Co-Founder & Chief Data Officer

Days on Market Evidence: Contract Dates, Campaigns and Relistings

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General information only — not personal financial, tax, credit, or legal advice

PremiumRea Pty Ltd is a licensed Victorian real-estate buyer's agency. We are not a licensed financial adviser, tax agent, credit provider, mortgage broker, or lawyer, and nothing on this website is personal financial product advice, tax advice, credit advice, or legal advice. Information is general in nature and has been prepared without taking into account your objectives, financial situation, or needs. Before acting on anything you read here, consider whether it is appropriate for your circumstances and obtain independent professional advice from suitably licensed advisers.

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Name the timing definition

Days on market evidence depends on its start and end points. A provider may measure from an advertisement, a campaign record or another event, and may finish at a contract date or a reported sale status. Write the definition alongside the number. A database field called days on market does not make its methodology identical to another provider’s.

Check chronological order

Arrange campaign start, price changes, withdrawal, relisting, contract and settlement where available. If a campaign begins after the contract date, it cannot measure the pre-contract marketing period for that sale. Mark the mismatch rather than forcing a one-day or negative result. Investigate whether the campaign refers to a later event, a delayed publication or a mismatched record.

Treat relisting as a separate question

A new advertisement identifier can follow a withdrawal, a change of agent or a revised strategy. It does not establish that the property newly entered the market. Preserve the individual campaigns and a documented property-level chronology. A first-observed date in your own research also depends on monitoring coverage, so label it as first observed rather than verified first marketed.

Do not replace missing dates with zero

Unknown campaign dates produce an unknown duration. Zero suggests an observed duration, which may distort a median. Report how many qualifying sales have usable dates and how many do not. A later data update may resolve the gap, but it should carry its own retrieval date and revision note rather than silently rewriting the historical report.

Avoid a bargaining shortcut

A long or short marketing period needs context: product type, price strategy, auction or private sale, condition and a supported timeline. CAV discusses “market value” in its pricing guidance.1 Days on market is one research observation; it does not prove seller urgency, a hidden reserve or the discount a buyer will obtain. Use it to formulate questions, not to invent motivation.

Keep a source-linked campaign table

Record each source URL or document reference, observed date, event date, identifier and relationship to the sale. Separate the duration from your interpretation. When showing a suburb summary, publish the method and usable-sample count. Before using the result in a negotiation, confirm the selling agent’s account against available records and keep inconsistencies visible.

Questions buyers ask

Can a campaign after contract date measure that sale’s marketing period?

No. Investigate the mismatch and exclude it from that duration calculation.

Does a new listing identifier prove a fresh market entry?

No. Link the campaign to the property’s earlier marketing history where evidence permits.

Continue the evidence check

Use the development evidence hub to build a source-linked issue register, then compare the Development Insights methodology and current tool. These articles explain research methods; they do not reproduce proprietary transaction databases or establish an approval, valuation or future result.

References

  1. [1]Consumer Affairs Victoria: understanding property prices and underquoting for buyers

About the author

Yan Zhu

Yan Zhu

Co-Founder & Chief Data Officer

Former actuary turned property strategist, Yan brings rigorous data analysis and policy expertise to help investors make better decisions.

Property evidenceMarket research methodsDevelopment research

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