Finding genuinely comparable sales shouldn't require ten browser tabs and a phone call to a colleague. It usually does anyway.
Finding comparable sales quickly means having a single, current source of recent sales data filtered by property type, size, and location, rather than piecing it together from a mix of public listing portals, past personal notes, and memory of what sold nearby.
Comparable sales data is scattered by nature: some of it sits in public portals, some in an agency's own past transaction records, some only exists as an agent's personal knowledge of the area. None of those sources alone is complete, so agents end up checking several of them for every single comparable sales search, which is slow and inconsistent between agents on the same team.
Slow access to comparable sales data delays everything downstream: appraisals take longer to prepare, CMAs take longer to assemble, and price guidance to vendors can end up based on whatever data was easiest to find rather than what's most accurate. Inconsistent access across a team also means different agents can end up with different views of the same market, which shows up as inconsistent pricing conversations with vendors.
Many agents rely on a mix of public sales portals and their own memory or notes from past listings, cross-referencing manually when something doesn't look right. It works, eventually, but it's slow and depends heavily on the individual agent's habits and experience.
Centralise comparable sales access into one tool the whole team uses the same way, filtered by the specific property characteristics that matter (type, size, location, recency) rather than a broad suburb search that needs manual filtering afterward.
PropertyData gives agencies one place to search recent, genuinely comparable sales, filtered to the specific property in question, so the research step that used to take multiple sources and a lot of manual cross-checking becomes a single, fast lookup.
List every source your team currently checks to find comparable sales.
Identify how much of that research time is spent filtering irrelevant results versus finding genuinely comparable properties.
Standardise on one primary source for comparable sales across the whole team, not just individual agents' preferences.
Filter by property-specific characteristics (type, size, land size, recency) rather than a broad suburb-wide search.
Review whether different agents on your team are currently reaching different price conclusions from the same market, that's a sign the data isn't centralised.
Property type, size, condition, and recency matter more than proximity alone. A recently sold similar property two suburbs over is often more comparable than a very different property next door.
It depends on how fast the local market is moving, but in most markets, sales older than six to twelve months start to carry less weight unless the market has been unusually stable.
Yes. Inconsistent sources across a team lead to inconsistent price conversations with vendors, which undermines trust in the agency's pricing advice more broadly.