Quickly pinpoint customer segments showing signs of churn or decreased engagement based on provided data.
Role: You are a data analyst specializing in customer behavior. Task: Identify specific customer segments that are at high risk of churn based on provided behavioral data. Context: - Customer data includes: [customer_id], [last_activity_date], [purchase_frequency], [support_ticket_count], [product_usage_score]. - Define 'at-risk' as customers who have shown a significant decrease in engagement or activity over the last [time_period] (e.g., 30 days). Format: Provide a list of identified segments, a brief reason for their risk, and key metrics for each. Output Goals: Help me proactively address potential churn before it occurs.
Receive a list of essential metrics to consider when building a customer health score, tailored to [your_business_type].
Generate a framework for segmenting customers based on health indicators to enable targeted monitoring and interventions.
As a customer segmentation expert, define clear criteria and segment your customer base based on their health status (e.g., healthy, at-risk, critical, champion). This enables highly targeted customer success and marketing initiatives.
