Customer Qualification

Our AI-powered Customer Qualification system analyzes multiple data points to score and prioritize customers, helping you focus on the most promising opportunities while ensuring no potential client falls through the cracks.

Qualification Process

1. Data Collection

The system collects data from multiple touchpoints to build a comprehensive customer profile.

•Initial inquiry details
•Website behavior patterns
•Communication history
•Service booking requests
•Social media interactions

2. AI Analysis

Our AI evaluates customers using sophisticated algorithms and machine learning models.

•Budget alignment with service prices
•Timeline urgency
•Communication engagement levels
•Service preference clarity
•Financial pre-qualification indicators

Scoring System

Score Components

{
  "customer_score": {
    "financial_readiness": 0-25,
    "engagement_level": 0-25,
    "service_match": 0-25,
    "timeline": 0-25,
    "total_score": 0-100
  }
}

Score Categories

Hot Customer (80-100):Ready to transact

Warm Customer (60-79):Active interest

Nurture Customer (40-59):Needs development

Cold Customer (0-39):Long-term prospect

Automated Actions

Based on Score

Hot:Immediate agent notification

Warm:Enhanced service recommendations

Nurture:Educational content series

Cold:Periodic market updates

Custom Workflows

{
  "workflow": {
    "trigger": "score_change",
    "conditions": {
      "new_score": ">= 80",
      "score_increase": ">= 20"
    },
    "actions": [
      "notify_agent",
      "schedule_followup",
      "send_service_matches"
    ]
  }
}

Machine Learning Models

Predictive Analytics

•Likelihood to purchase
•Optimal price range
•Preferred service types
•Best contact times

Continuous Learning

•Conversion tracking
•Agent feedback
•Market performance data
•Behavioral pattern analysis

Integration Features

CRM Integration

•Automatic customer scoring updates
•Task creation and assignment
•Activity logging
•Performance reporting

API Access

GET /api/v1/customers/{customer_id}/score
POST /api/v1/customers/{customer_id}/update

Success Metrics

40%

Increase in conversion rate

60%

Reduction in response time

85%

Accuracy in customer scoring

30%

Improvement in productivity