How to Find Out Which Contacts in Your CRM Are Still in the Market

Here is the problem every principal eventually faces: you have a database of 1,500, 3,000, maybe 5,000 contacts built over years of open homes, enquiries, and campaigns. And you have no idea which of them are still in the market today.

Some bought years ago and are done. Some moved interstate. Some are actively looking right now and haven’t heard from your office since their last open-home sign-in. Some would sell if an agent called at the right moment with the right message.

Without running some form of outreach, you cannot tell them apart. They all look the same in the CRM: a name, a phone number, and a timestamp.

This is the signal problem. And the two traditional tools for solving it both break down at scale.

Why Cold Calling Doesn’t Work at Database Scale

Cold calling is effective. No principal would argue with that. But applying cold calling to a database qualification problem exposes three structural limitations.

Speed. One agent making focused outbound calls might get 15, 20 meaningful conversations in a day. Against a database of 2,000 contacts, that’s weeks of calling, by the end of which, the contacts you reached first are going stale.

Quality variance. The quality of a cold call depends entirely on the agent making it. Different agents ask different questions, record different notes, and produce different outputs. Running database qualification through individual agents guarantees inconsistent results.

Dead weight. Principals who have run manual database calls report that 30, 50% of the list is effectively dead: disconnected numbers, contacts who already sold through another agency, people who moved cities, or numbers that go straight to voicemail every time. Agents burn time on this waste before ever reaching a live contact who matters.

Why Bulk SMS Doesn’t Solve the Signal Problem

The instinct to send a campaign to the whole database is understandable. One push, thousands of contacts reached in an afternoon.

The problem is that bulk SMS generates noise, not signal. A generic message, “Are you thinking about buying or selling?”, tells you nothing about the contacts who don’t reply, and produces a shallow response from those who do. It doesn’t distinguish between someone who has already bought, someone who is actively shopping, and someone who moved to Queensland two years ago. They all look the same: opened, or not. Replied, or not.

What principals need is structured signal: a consistent qualifying conversation that asks specific enough questions to categorise each contact’s current status. That requires more than a broadcast.

What a Qualifying Conversation Actually Needs to Surface

When an agent qualifies a contact well over the phone, they’re extracting four things:

1. Current statusHave they transacted since they were last in contact? Bought, sold, rented, out of market?
2. Active intentAre they still looking? If buying, are they ready, or watching?
3. Vendor intentIs there any chance they’d consider selling their current property?
4. TimelineIf they’re in the market, is this a this-quarter decision or a this-year horizon?

A well-structured qualifying SMS sequence can extract all four of these without requiring an agent to make a single call, and route only the contacts who signal active intent through to a human.

The Output You’re Actually Looking For

Effective database qualification produces a segmented view of your contact base:

• Active buyers, still in market: Route to agents immediately as a warm lead
• Vendor intent, would consider selling: Flag for appraisal outreach
• Already transacted: Clean off active list; move to long-term nurture
• Out of area / moved on: Archive or remove
• No response: Retry with alternate message; eventually archive

That segmentation is more valuable than the original database, because it reflects the market today, not the market as it was when the contact was first added.

What Changes When You Have This Picture

Agents stop making calls into the void. They start every morning with a list that says: these 11 people are still in the market, here’s what they’re looking for, here’s the last thing they said. That’s a manageable, prioritised workload, not a guessing game about who is worth pursuing.

The principal gains visibility they’ve never had before: how active the database actually is, which segments are responding, and which parts of the list have gone dead. That picture shapes everything from campaign targeting to staff prioritisation to future ad spend.

And the database itself becomes a compounding asset. Every qualifying pass makes it sharper. Contacts who stay in market get worked. Contacts who move on get removed. The list that was a static archive becomes a live view of intent.