AI lead scoring for real estate
How Realtor Desk scores leads 0-100 from engagement, behaviour, budget match, timeline and qualification — and why the score is a prompt, not a verdict.
AI lead scoring ranks each lead from 0 to 100 on how they have actually behaved — what they opened, what they viewed, what they told you and whether anything is available in their price range. It decides the order you work your list in on a busy morning. It does not predict who will buy, and in Realtor Desk it never acts on its own.
What the number is made of
Five components, weighted as below, summed and capped at 100. Each is shown separately in the app, so the score is auditable rather than a black box.
A worked example
Two leads both sit at 62. The first got there on engagement — every email opened, two replies, contact last week — with a vague timeline. The second got there on budget match and timeline: there are twelve listings in their range and they said ninety days, but they have not opened anything in a fortnight. Those are different calls. The first is a conversation you continue; the second is one you restart, probably by phone. A single number would have hidden that, which is why the components are shown.
What it does not do
- It does not send anything. No email, no text, no task is triggered by a score changing.
- It does not see what it was not told. A client who only ever calls you will score low, and that is a limitation of the input, not a judgement about them.
- It is not a valuation or a probability of sale, and we will not present it as one.
Realtor Desk reports a confidence value alongside the score, derived from how much of the underlying data was actually present. A confident 40 is more useful than an unreliable 85.
Common questions
See it on your own leads
Scoring is included on every plan. Bilingual EN/FR, data hosted in Canada, priced in CAD.
Related: how AI helps with follow-up · what a real estate CRM is
Email open rate, click rate and reply rate, plus a bonus for recent contact.
Site visits, property views and document activity.
Budget match
How many listings are actually available in their stated range.
What they told you about when they intend to move.
Whether the basics — budget, timeline, financing — are on the record.
What is AI lead scoring in real estate?
It is a number between 0 and 100 that ranks how engaged a lead is, calculated from how they have behaved rather than how they felt on the phone. In Realtor Desk it combines five inputs: engagement, behaviour, budget match, timeline and qualification. It tells you who to call first on a busy morning; it does not tell you who will buy.
How is the score calculated?
Engagement contributes up to 30 points, behaviour up to 30, budget match up to 20, stated timeline up to 15, and qualification completeness up to 5. The total is capped at 100. Each component is shown as its own percentage so you can see which one moved the number.
Can I see why a lead scored what it did?
Yes — that is the point of showing five components rather than one number. A lead sitting at 62 because of strong engagement is a different call from a lead at 62 because there is a lot of inventory in their price range.
What if the score is wrong?
Treat it as a prompt, not a verdict. The model only sees recorded activity, so a client who phones you directly and never opens an email will score lower than they deserve. Realtor Desk also reports a confidence value based on how complete the underlying data is — a high score on thin data is flagged rather than hidden.
Does the score do anything on its own?
No. Nothing is sent, moved or actioned because of a score. It orders your list and suggests a next action and a sensible time to make contact. You decide what happens.