customer-health-scorer

Calculate customer health scores by running a Python scoring pipeline on raw account data across Usage, Engagement, Support, Relationship, and Commercial dimensions. The script applies segment-aware benchmarks for Enterprise, Mid-Market, and SMB accounts to generate transparent, reproducible scores.

A customer health scorecard should include Usage, Engagement, Support, Relationship, and Commercial dimensions. Segment-aware benchmarks are applied per account to ensure accurate health measurement across Enterprise, Mid-Market, and SMB customer segments.

Automate intervention recommendations by applying multi-dimensional health scoring to accounts. The pipeline identifies at-risk and critical accounts, providing actionable, dimension-specific recommendations and trend indicators for prioritized customer success actions.

The customer health scoring pipeline explicitly handles missing data and performs data validation during execution. It generates clear data-quality notes alongside the exportable HTML scorecard to ensure trusted, reproducible insights for portfolio reviews.

You can generate an automated HTML scorecard for portfolio reviews, renewals, and risk-based prioritization. The scorecard provides per-account score breakdowns with trend indicators and actionable intervention recommendations for customer success teams.

Benchmark customer health across segments by applying segment-aware benchmarks within a Python scoring pipeline. The script evaluates raw account data against Enterprise, Mid-Market, and SMB thresholds to compute reproducible health scores and prioritized interventions.