Lead Scoring + Re-Tour KPI

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.

Hot / Warm / ColdScore reasoningRe-tour KPITrend alerts

1. Feature Overview

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.

92

Hot Lead

Re-tour scheduled + pricing inquiry + SMS reply + high-quality referral source.

2. Re-Tour KPI

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 tour

3. Scoring Workflow

flowchart 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]

4. Scoring Signals

SignalExampleImpact
Tour request“Can I visit tomorrow?”High positive
Re-tour scheduledSecond visit bookedVery high positive
Re-tour completedSecond visit completedVery high positive
Pricing inquiryAsks monthly costMedium/high positive
UrgencyHospital discharge / immediate needHigh positive + alert
Inbound engagementReplies to SMS/emailPositive
Negative survey feedbackLow rating after tourEscalation signal
No activityNo response for daysDecay / cooling

5. UX Expectations

Prospect list

Show score, Hot/Warm/Cold badge, trend arrow, and sorting/filtering by score.

Guest card

Show score history, reasons, last score change, and recommended next action.

Brief

Highlight leads that became hot, re-tour opportunities, and leads cooling down.

Dashboard

Aggregate hot pipeline, score movement, re-tour pipeline, and at-risk leads.

6. User Cases

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.

Silent shopper becomes active

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.

Lead cooling down

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.

7. Acceptance Criteria

8. Related Features