BrainPredict Commerce Customer Lifetime Value Prediction

Customer Lifetime Value Prediction

Predict customer lifetime value to optimize marketing spend and customer acquisition strategies.

Overview

BrainPredict Commerce CLV prediction uses advanced machine learning to forecast how much revenue each customer will generate over their lifetime.

Step 1: Enable CLV Prediction

In your BrainPredict Commerce portal, navigate to Features → Customer Analytics → CLV Prediction.

Step 2: Configure Prediction Model

{
  "prediction_horizon": "24_months",
  "update_frequency": "weekly",
  "features": {
    "purchase_history": true,
    "engagement_metrics": true,
    "demographic_data": true,
    "behavioral_patterns": true
  },
  "segments": {
    "high_value": ">= 1000",
    "medium_value": "500-999",
    "low_value": "< 500"
  }
}

Step 3: Get CLV Predictions

POST /api/v1/analytics/clv-prediction
{
  "customer_id": "cust_123"
}

Response:
{
  "customer_id": "cust_123",
  "predicted_clv": 1250.75,
  "confidence": 0.87,
  "segment": "high_value",
  "factors": {
    "purchase_frequency": 0.35,
    "average_order_value": 0.28,
    "engagement_score": 0.22,
    "tenure": 0.15
  },
  "recommendations": [
    "Increase engagement with personalized offers",
    "Implement loyalty program",
    "Focus on retention campaigns"
  ]
}

Step 4: Use CLV for Marketing

• Customer Acquisition: Set acquisition cost limits based on CLV
• Retention Campaigns: Target high-CLV customers with special offers
• Product Recommendations: Suggest higher-value products to high-CLV customers
• Customer Service: Prioritize support for high-CLV customers

Performance Metrics

• Prediction accuracy
• Revenue impact
• Customer acquisition cost optimization
• Retention rate improvement