AGENT 42 / 11 · RETAIL & E-COMMERCE · CUSTOMER RETENTION & EXPANSION

Customer Health Scorecard Builder

Blends usage depth, NPS and support sentiment into a single weighted health score, so customer success can triage attention by risk instead of gut feel.

READS FROMSupport metrics, NPS surveys, usage data

MCP SERVERProduct Data Server

MODELRouted to reasoning-tier open model

HANDS OFF TOChurn Early Warning System, Renewal & Expansion Planner

RUN THE AGENT

Set your inputs and weights, generate the score

Adjust the three health signals and their weighting and the agent recalculates the composite score and tier instantly.

ASSUMPTIONS

Average usage-depth score (0-100) 68

Average NPS 22

Average support-sentiment score (0-100) 74

Weight given to usage 45%

Weight given to NPS 30%

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Composite health score

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Health tier

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Support weight (auto-filled)

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Blended NPS (0-100 scale)

Metric	Value

HOW IT WORKS

What the agent actually does

1. Synthesize the signals	Pulls usage depth, NPS survey responses and support ticket sentiment/volume for every account.
2. Weight and blend	Combines the three signals into a single composite health score, using the weighting the customer success team has set for this segment.
3. Assign the tier	Classifies each account into a health tier so CSMs can triage attention by risk, not gut feel.
4. Hand off	Feeds At-Risk and Critical accounts to the Churn Early Warning System, and Champion accounts to the Renewal & Expansion Planner as expansion candidates.