Lead Generation
AI Lead Scoring Engine
In most CRMs every lead looks identical. A serious buyer who has viewed the same flat nine times sits in the list next to someone who clicked an ad by accident. Your agents cannot see the difference, so they work the list top down and hope.
We build a scoring engine that watches behaviour and puts a number on intent, so the hottest lead is always the next call.
The problem it removes
Treating all leads equally sounds fair and costs a fortune. High intent buyers wait behind casual enquiries, and by the time an agent reaches them the moment has passed. Meanwhile hours go into leads that were cold from the first click. Gut feel helps the experienced agent, but gut feel does not scale across a team and it disappears when that agent leaves.
What we build for you
A scoring engine that ingests every signal a lead gives off and keeps their score current in your CRM.
- Tracks website visits, listing views, saved properties and return frequency
- Reads email opens, ad clicks, WhatsApp replies and enquiry history
- Weights recency, so yesterday's burst of activity outranks last month's
- Recalculates continuously and pushes the score into your CRM views
- Alerts agents when a lead crosses your hot threshold
How it works
- 1
Inventory the signals
We list every behavioural signal you already collect and add tracking where the gaps are.
- 2
Build the model
Scores start from proven weightings, then learn from your own closed deals.
- 3
Surface it where work happens
Scores appear in the CRM list your agents already open every morning. No new tab, no new habit.
- 4
Validate quarterly
We check scores against actual outcomes and retune, because a score nobody trusts is decoration.
What changes for your business
- Agents open each day knowing exactly whom to call first
- High intent buyers reached while they are still deciding
- Time drained by cold leads drops sharply
- One shared, objective definition of a hot lead across the team
Frequently asked questions
What signals matter most for real estate?
Repeat visits to the same listing, viewing requests, saved properties and quick replies on WhatsApp are the strongest we see. A single ad click means very little. Patterns over days mean a lot.
How is this different from qualification?
Qualification asks the lead directly. Scoring watches what they do. The two together are far stronger than either alone, and we usually deploy them as a pair.
Does the score update in real time?
Scores recalculate as events arrive. When a lead suddenly views four listings in an evening, your agent knows the next morning at the latest, usually within minutes.
Will agents trust a number over their instinct?
They trust it once it proves itself, which is why we validate scores against closed deals and show the team the hit rate. Instinct plus a good score beats either one alone.
Call the right lead first, every time
In a free audit we will look at your current pipeline and show you which leads a scoring engine would have flagged this week.
Book a free 45 minute audit ↗Related lead generation automations
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