Support

Customer Health Analyzer

Analyze customer data to improve retention and satisfaction

OverviewCapabilitesAgent WorkflowExample prompt

Overview

The Customer Health Analyzer transforms raw customer data into actionable retention intelligence, enabling customer success and support teams to proactively identify at-risk accounts and improve satisfaction before churn occurs. Customer health is a leading indicator of retention, but manually tracking engagement metrics, support tickets, product usage, and sentiment signals across hundreds or thousands of accounts is impossible at scale. This agent aggregates data from multiple sources—CRM activity, product analytics, support interactions, and billing history—then applies scoring models to surface accounts requiring immediate attention. By identifying early warning signs and recommending targeted interventions, it helps teams reduce churn, expand accounts, and build lasting customer relationships.

Capabilities

  • Aggregate customer health signals from CRM, product usage, and support data
  • Calculate health scores based on engagement, satisfaction, and usage patterns
  • Identify at-risk accounts with early warning indicators and churn probability
  • Recommend targeted interventions based on specific risk factors and account context
  • Generate account health reports with trend analysis and retention forecasts

Agent Workflow

  1. Input: User specifies customer account or segment for health analysis
  2. Data Aggregation: Agent pulls engagement, usage, support, and billing data from integrated systems
  3. Health Scoring: Calculates composite health score based on weighted metrics and historical patterns
  4. Risk Assessment: Identifies specific risk factors and churn indicators for flagged accounts
  5. Intervention Recommendations: Suggests targeted actions based on account context and risk profile
  6. Output: Delivers health report with scores, risk flags, and prioritized action plan

Example prompt

"Analyze the health of our Enterprise tier customer accounts (50+ users) and identify the top 10 at-risk accounts requiring immediate attention. For each account, calculate a health score based on: product login frequency over the last 30 days compared to their baseline, support ticket volume and sentiment trends, feature adoption rate for capabilities launched in the last quarter, billing status and payment history, and executive sponsor engagement with our CSM team. For the top 10 at-risk accounts, provide: specific risk factors contributing to their low health score, recommended interventions tailored to their risk profile (e.g., executive business review, training session, feature demo), estimated churn probability in the next 90 days, and potential revenue impact if the account churns. Format as a prioritized action list for our customer success team."

Integrations

  • Salesforce
  • HubSpot
  • Zendesk
  • Intercom
  • Google Sheets

Best suited for

  • Customer Success Manager
  • Account Manager
  • Support Director

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