Customer Churn Prediction
AI-powered insights to retain your most valuable customers
High Risk
3
>70% churn probability
Medium Risk
2
40-70% churn probability
Low Risk
3
<40% churn probability
At-Risk Value
$52,800
Potential revenue at risk
🚨 High-Priority Customers at Risk
3 high-value customers need immediate attention
Sarah Mitchell
Lifetime Value
$15,600
Total Spent
$12,450
Orders
23
Last Order
100 days ago
AI Recommendation: This high-value customer ($15,600 LTV) hasn't ordered in 100 days. Send a personalized win-back email with a 20% discount on their favorite products. Estimated recovery value: $379.
Michael Thompson
Lifetime Value
$7,800
Total Spent
$6,340
Orders
12
Last Order
116 days ago
AI Recommendation: This high-value customer ($7,800 LTV) hasn't ordered in 116 days. Send a personalized win-back email with a 20% discount on their favorite products. Estimated recovery value: $370.
Kevin Zhang
Lifetime Value
$5,800
Total Spent
$4,560
Orders
8
Last Order
87 days ago
AI Recommendation: This high-value customer ($5,800 LTV) hasn't ordered in 87 days. Send a personalized win-back email with a 20% discount on their favorite products. Estimated recovery value: $399.
All Customers
Sorted by churn risk - highest risk first
| Customer | Lifetime Value | Total Spent | Orders | Last Order | Churn Risk | Actions | |
|---|---|---|---|---|---|---|---|
| Michael Thompson | [email protected] | $7,800 | $6,340 | 12 | 116 days ago | 85% | |
| Sarah Mitchell | [email protected] | $15,600 | $12,450 | 23 | 100 days ago | 78% | |
| Kevin Zhang | [email protected] | $5,800 | $4,560 | 8 | 87 days ago | 72% | |
| James Rodriguez | [email protected] | $11,200 | $8,920 | 15 | 62 days ago | 52% | |
| David Park | [email protected] | $12,400 | $9,870 | 18 | 49 days ago | 48% | |
| Lisa Anderson | [email protected] | $19,500 | $15,200 | 28 | 13 days ago | 22% | |
| Emily Chen | [email protected] | $24,300 | $18,750 | 31 | 9 days ago | 15% | |
| Rachel Green | [email protected] | $28,900 | $22,100 | 42 | 7 days ago | 8% |
💡 Retention Strategies
Win-Back Campaign
Target: 3 high-risk customers
Personalized emails with 20% discount. Expected recovery rate: 35%. Potential revenue: $18,480.
Loyalty Program
Target: 3 engaged customers
Reward loyal customers with points and exclusive perks to maintain engagement and increase lifetime value.
Predictive Outreach
Target: 2 medium-risk customers
Proactive engagement before they churn. Send product recommendations based on purchase history.
📊 Churn Analysis
Top Churn Indicators
Model Accuracy
Based on 6 months of historical customer behavior data