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SaaS Customer Health Score Agent

Replaces a $55k Customer Success Coordinator by auto-scoring account health daily from usage, support tickets, and NPS.

The Problem

SaaS companies struggle to identify at-risk accounts before churn happens. Customer Success teams manually review spreadsheets and Slack messages to spot problems, wasting 10+ hours per week. Without real-time health signals, they miss renewal warnings and upsell opportunities until it's too late.

The Outcome

This agent pulls daily usage metrics, support ticket sentiment, and NPS responses from your SaaS platform, calculates a health score (0-100) per account, flags at-risk customers, and sends your team a prioritized action list each morning. It integrates with your CRM and helpdesk to surface context—recent support issues, feature adoption gaps, and engagement trends—so your team can act fast.

Day in the Life
1.
Mon 6am: Agent pulls usage data from your product analytics, ticket volume from helpdesk, and latest NPS survey responses → calculates health scores for all 200 accounts → flags 12 at-risk (score <40)
2.
Mon 7am: Sends Slack summary to CS team: 'Acme Corp health dropped 15 pts (3 support tickets, 0 logins last week)' with one-click link to account detail + recommended action
3.
Wed 2pm: Agent detects sudden spike in support tickets for TechCorp → auto-escalates to CS manager + suggests outreach template → logs interaction for next renewal review
Deploy Specs
Runtime
python
Pattern
native-agent
Tier
medium
Setup Time
hours
Integrations
via Composiomanual setup
✓HubSpot✓Mixpanel✓Intercom✓Zendesk✓Slack✓Typeform
GitHub Source
Repository
Stars
0
License
MIT
Last Commit
Replace
Customer Success Coordinator
$55,000/yr
AgentDepot · Solo plan
$99/month
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Also Replaces
×Gainsight $500/mo
×Vitally $400/mo
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