Every active listing is doing one of three things on the portals: outperforming, meeting expectation, or quietly underperforming. The third group is where vendor anxiety builds, where withdrawals come from, and where reputations get damaged. Most principals don't notice until the phone rings.
The same underperforming listing. Two different outcomes — separated entirely by when you found out.
The listing's been on Domain three weeks. Views are flat. Enquiries are minimal. Nobody checked. The vendor calls Friday at 5pm — anxious, threatening to withdraw, asking why nothing is happening.
By the time intervention happens, the vendor relationship is already strained, the urgency window has passed, and the recovery is harder than it needed to be.
Same listing. Same flat performance. The agent flagged it on day five — before the vendor noticed — with a specific recommendation already written: "Photography refresh suggested. Current images underperform suburb average by 28%."
You re-shot in two days. Enquiries doubled. The vendor went from anxious to a referral source.
Five stages. Fully automated. Catches underperformance before your vendor does.
Domain Pro analytics. REA agent dashboard. Zillow/Redfin for US deployments. Per-listing: views, enquiries, click-through rates, time-on-listing, comparable performance benchmarks, and photo-engagement data. Pulled daily, not weekly — because weekly is too slow.
Not just "20 views today" — "20 views today; suburb average is 32, this listing is 38% below benchmark." Context-aware performance, not raw numbers. A $4M listing has different performance norms than a $700k listing. The comparison is always peer-appropriate.
Low views = visibility issue. High views, low enquiries = positioning issue. High enquiries, low inspections = photography or detail issue. The agent prescribes, not just diagnoses — and the prescription maps to your office's playbook, not a generic script.
Underperformance routes to the listing agent. A pattern across multiple listings routes to the principal. Marketing-related issues route to your marketing lead. Each flag goes to whoever can act on it — not a generic "someone should look at this" alert buried in a dashboard.
When an intervention happens — price adjustment, photo refresh, paid boost — the agent watches the next 5–7 days of performance data and reports whether it worked. Your team learns what actually moves the needle in your specific market. That intelligence compounds.
Three weeks into a campaign that was underperforming, the agent flagged a photography refresh. We re-shot in two days. The next week's enquiries doubled. The vendor went from anxious to thrilled — and the listing transacted at 3% above their original ask.
Sales Agent · Mid-tier coastal NSW agencyThe window where interventions are cheap, fast, and effective. Issues caught at 5 days are fixed within a week — not the 4-week scramble that comes from late detection. The listing stays on market with momentum.
Vendors don't withdraw because of underperformance — they withdraw because they feel the agent isn't doing anything. Proactive intervention before the vendor notices flips the relationship from reactive to confidence-building.
When you know which listings need a boost, which need photo refreshes, which need copy work — your marketing spend goes to where it actually moves the needle. Not equally distributed across all campaigns regardless of performance.
Generic AI tools compare your listing to national averages. We compare it to what's actually selling on your street, in your price band, in your property type.
Hawthorn benchmarks for Hawthorn listings. Reservoir benchmarks for Reservoir listings. Not generic capital-city averages — local performance norms derived from recent comparable sales data.
A $4M listing has different performance norms than a $700k listing. The agent compares each listing against its peer group, not against everything on the portal regardless of type or tier.
Apartments vs. houses vs. acreage vs. off-the-plan — each has meaningfully different performance patterns. Benchmarks adjust for property type automatically, so comparisons are always like-for-like.
Some teams want every dip flagged. Some want only significant patterns surfaced. Configurable per office — you set the sensitivity level that matches how your team operates.
Some offices use paid boosts aggressively. Some prefer copy or photo refreshes. Some prioritise pricing conversations. The intervention recommendations align with your office's established playbook.
Anxious vendors get flagged earlier — smaller dips trigger interventions sooner. Experienced developers get flagged at sharper thresholds. The agent adapts its urgency to the vendor's profile, not a one-size setting.
If you already use Domain Pro, REA agent admin, or third-party analytics tools — we layer on top, not replace. Your existing workflow is preserved; this intelligence is additive.
All seven personalisation layers are configured during your onboarding kickoff — not discovered later in a settings dashboard. Your agents are tuned to your market from day one.
Every active listing's portal performance pulled and benchmarked against suburb and price-band peers. Runs automatically at 6am daily.
Underperformance flagged. Specific intervention recommended. Alert routed to the right team member before 8am.
Intervention executed. Agent watches the next 7 days and reports back on whether it worked — closing the learning loop.
The 21-day catch is what destroys vendor relationships. The 5-day catch is what builds them. Let's make sure your office is always on the right side of that line.
Book a 20-minute strategy call. We'll look at your active listing volume, your current portal setup, and your CRM — and tell you honestly whether this agent is worth deploying for your team.
Book Your Strategy CallIf we're not the right fit, we'll tell you in the first 5 minutes and recommend who is.