Re-tour indicates buying intent
Scenario: A family schedules a second visit after the first tour.
System behavior: Re-tour scheduled boosts score and appears in the assigned agent’s brief.
Result: Agent prioritizes the lead before the re-tour.
Sales priority radar
Lead Scoring turns activity, engagement, intent, urgency, source quality, survey feedback, and re-tour behavior into a clear priority signal so teams know who to contact first.
Without scoring, all leads can look equal in a table. The scoring layer turns the lead list into a prioritized pipeline by calculating a numeric score and explaining why the score changed.
Re-tour scheduled + pricing inquiry + SMS reply + high-quality referral source.
A re-tour is a second visit and should be treated as a high-intent signal. It should not be buried inside generic appointments.
Example score impact:
+25 Re-tour scheduled
+30 Re-tour completed
+10 Re-tour completed within 7 days of first tourflowchart TD
A[CRM Event] --> B{Event Type}
B -->|Inbound SMS/Email| C[Engagement Signal]
B -->|Tour / Re-Tour| D[Visit Intent Signal]
B -->|Pricing / Urgency Intent| E[AI Intent Signal]
B -->|No Activity| F[Decay Signal]
B -->|Survey Feedback| G[Feedback Signal]
C --> H[Weighted Score Engine]
D --> H
E --> H
F --> H
G --> H
H --> I[Score 0-100]
I --> J[Hot / Warm / Cold]
J --> K[Prospect List + Guest Card]
J --> L[Morning/Afternoon Brief]
J --> M[Executive Dashboard]
| Signal | Example | Impact |
|---|---|---|
| Tour request | “Can I visit tomorrow?” | High positive |
| Re-tour scheduled | Second visit booked | Very high positive |
| Re-tour completed | Second visit completed | Very high positive |
| Pricing inquiry | Asks monthly cost | Medium/high positive |
| Urgency | Hospital discharge / immediate need | High positive + alert |
| Inbound engagement | Replies to SMS/email | Positive |
| Negative survey feedback | Low rating after tour | Escalation signal |
| No activity | No response for days | Decay / cooling |
Show score, Hot/Warm/Cold badge, trend arrow, and sorting/filtering by score.
Show score history, reasons, last score change, and recommended next action.
Highlight leads that became hot, re-tour opportunities, and leads cooling down.
Aggregate hot pipeline, score movement, re-tour pipeline, and at-risk leads.
Scenario: A family schedules a second visit after the first tour.
System behavior: Re-tour scheduled boosts score and appears in the assigned agent’s brief.
Result: Agent prioritizes the lead before the re-tour.
Scenario: A lead has been quiet but replies to an old SMS and asks about pricing.
System behavior: Engagement and pricing intent increase score.
Result: Lead moves to Hot and appears at the top of the pipeline.
Scenario: A previously hot lead has no activity for several days.
System behavior: Score decays and a recovery task is suggested.
Result: Agent is warned before the opportunity disappears.