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Customer Success

Churn Predictor

Analyze customer behavior signals to predict churn risk and suggest interventions.

Workflow Structure
How this template processes data
  1. 1Input: Customer usage and engagement data
  2. 2Identify risk signals
  3. 3Calculate churn score
  4. 4Recommend intervention actions
Prompt Examples
Copy-paste ready prompts for this workflow

analyze

Analyze this customer's churn risk:
{{customer_data}}

Usage trends: {{usage_trends}}
Support tickets: {{support_history}}

Provide:
1. Churn risk score (1-100)
2. Key risk factors
3. Recommended interventions
4. Urgency level
LLM Recommendations
Best for Quality
GPT-4o
Best for Speed
GPT-4o mini
Best for Cost
DeepSeek V3
Cost Estimate
per customer
$0.01-0.03
monthly 1000 customers
$10-30
Common Error Patterns
Issues to watch for and handle
  • Missing signal correlation
  • False positives
Monitoring with Administrate
  • Track prediction accuracy
  • Monitor intervention success
Use Cases
  • Customer retention
  • Health scoring
  • Proactive outreach