How to use this tool
Most agents spend 80% of their time on leads that will never convert and ignore the 20% that are ready right now. This tool fixes that by forcing you to score every lead on the same five dimensions — so you stop making gut-feel prioritisation decisions and start working the right leads at the right intensity.
Step-by-step
- Budget match — Does the lead's stated budget align with what you're showing them? “In range” scores highest. “No budget” is a hard signal to deprioritise.
- Authority — Are you talking to the person who writes the cheque, or someone who “needs to discuss with family”? Decision makers get full points. Influencers get partial credit. People just browsing without authority score zero.
- Need / Urgency — How soon do they want to move? ASAP scores maximum. Just looking scores zero. This is often the single biggest predictor of conversion speed.
- Timeline — Separate from urgency: are they ready to commit, or still weighing options? “Ready to move” means they've done their homework and are close to a decision.
- Engagement signals — Tick every behaviour this lead has shown. Booking a call is the strongest signal (+5). Asking about pricing shows intent (+3). Visiting a property shows they're serious (+4). Responding to messages shows they're engaged (+3).
What BANT means and why it works
BANT (Budget, Authority, Need, Timeline) was developed by IBM in the 1950s and has remained the backbone of B2B sales qualification for 70 years. It works in real estate because buying property is a high-involvement, relationship-intensive decision — exactly the context where systematic qualification pays off.
The engagement signals layer on top of BANT to capture behavioural intent, not just stated intent. A lead who says they're “ready in 3 months” but has already visited three properties and asked about pricing is far more likely to convert than one who says the same thing but hasn't taken any action.
Follow-up cadence by tier
The score threshold to action mapping is based on typical conversion windows in residential real estate:
- Hot (70–100): Call within 1 hour. Research shows that contacting a hot lead within 5 minutes makes you 9× more likely to convert them. After an hour, that probability drops sharply.
- Warm (40–69): Follow up within 2 days. Send a curated shortlist of 2–3 properties that match their brief. The goal is a site visit — that's the event that moves them from warm to hot.
- Cold (0–39): Monthly nurture. Don't invest significant time until their situation changes. A monthly market update or new listing alert is enough to stay top-of-mind.
How this compares to generic AI tools
Generic AI assistants can produce real estate copy, but you have to know how to prompt them. Our tools have that prompt engineering built in.
| Feature | Generic AI Tools | EstateAITools |
|---|---|---|
| Industry-specific prompts | Generic | Real estate calibrated |
| Output format | Variable | MLS-ready / structured |
| Currency support | Manual | INR, USD, GBP, AED, AUD |
| Audience calibration | Manual | Built-in |
| Signup required | Often yes | Never |
| Cost | Subscription | Free |
Related tools
Tools that pair naturally with this one for an end-to-end workflow.
Common questions
How is the score calculated?
Each of the five dimensions carries a maximum weight: Budget (25 pts), Need/Urgency (25 pts), Authority (20 pts), Timeline (15 pts), and Engagement signals (15 pts) — totalling 100. Within each dimension, each option has a points value that reflects its conversion likelihood. The final score is the sum of all earned points. Hot starts at 70, Warm at 40, Cold below 40.
My lead says they have budget but won't confirm the number — what do I pick?
Use the information you have. If they're viewing properties in a certain price range and haven't objected to the pricing, pick “In range” or “Below range” based on what you observe. Budget stated verbally without specifics is often a lagging indicator — their behaviour (what they view, what they ask about) is a better signal.
Should I re-score leads over time?
Yes — and this is where the tool is most powerful. Score a lead when they first come in, then re-score after each interaction. A cold lead who visits a property and starts asking about pricing has just moved to warm. Tracking score changes over time tells you which leads are warming up and should get more attention.
What if someone is a decision maker with no budget?
Authority without budget is still a cold lead. The BANT model treats all four dimensions as necessary, not just sufficient. A decision maker with no budget scores 20/100 maximum — solidly cold. Your time is better spent on a lead with confirmed budget even if authority is uncertain, since budget is the primary constraint in most property deals.
The tool shows Cold but I have a gut feeling this lead is serious.
That gut feeling is worth listening to — but investigate why the score is low first. Look at the breakdown bars: which dimension is dragging the score down? If it's authority (you haven't confirmed who makes the decision), go find out. If it's engagement (they haven't taken any action), push for a site visit before investing more time. The tool gives you a direction, not a final verdict.
Can I use this for commercial real estate leads?
Yes, with minor interpretation adjustments. For commercial deals, “authority” might mean a company's procurement committee, not an individual. “Timeline” often stretches longer (commercial lease decisions take 3–12 months vs 1–3 months for residential). Apply the framework and adjust your thresholds mentally for the typical cycle in your segment.