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Grok+17 agentsSaaS Churn Risk Analyzer
Identify at-risk SaaS customers by analyzing usage drops, support friction, and subscription signals for prioritized action.
$5
SaaS Churn Risk Analyzer
Example session with this skill installed
Analyze our Q3 customer data for the Enterprise tier. Identify accounts with declining seat utilization or high support friction, and recommend immediate retention steps for the top 5 risks.
- Read your context and instructions
- Compiled the saas churn risk
- Generated the document
Analysis of Q3 Enterprise customer data is complete. I have identified 5 accounts exhibiting high-risk patterns related to declining engagement and unresolved technical friction.
Q3 Enterprise Churn Risk Report
| Customer | Risk Level | Primary Signals | Evidence Strength | Renewal Proximity | Priority | Recommended Action |
|---|---|---|---|---|---|---|
| CloudScale AI | Critical Review | 45% seat utilization drop; 3 open P1 tickets > 14 days. | Observed | 42 Days | P0 | Executive stakeholder check-in; Technical escalation. |
| DataFlow Systems | High Risk | 0 logins in 14 days; Abandoned 'Analytics' workflow. | Pattern-Supported | 110 Days | P1 | Product adoption review; Re-onboarding session. |
| Nexus Logistics | High Risk | Consistent seat downgrades; 2 negative NPS comments. | Observed | 15 Days | P0 | Immediate renewal negotiation; Discount approval review. |
| Apex FinTech | Moderate Risk | Increasing support volume (recency: 7 days); Feature lag. | Hypothesis | 200 Days | P2 | Feature education campaign; Success manager outreach. |
| Orbit Media | Moderate Risk | Declining team adoption; Unresolved API integration issues. | Pattern-Supported | 85 Days | P2 | Technical support follow-up; Usage review meeting. |
Signal Analysis & Hypotheses
Utilization Decay: CloudScale and DataFlow show significant drops in core feature engagement. This likely stems from a failure to reach activation milestones in their new departments.
*
Support Friction: Both CloudScale and Apex FinTech have recurring unresolved tickets. The data suggests a bottleneck in their API implementation, which is the primary driver of the "Critical Review" status for CloudScale.
Priority Retention Actions
Immediate (24-48h): Schedule a technical sync for CloudScale AI to close the three pending P1 tickets before the renewal window closes.
2.
Near-term (1 week): Initiate a "Value Realization" call for Nexus Logistics to address negative sentiment before the contract expires in 15 days.
3. Monitoring: Track login frequency for DataFlow Systems following the proposed re-onboarding.
Next steps
- Assign the CloudScale P1 tickets to a Senior Engineer for immediate resolution.
- Verify the seat count history for Nexus Logistics to confirm if downgrades were structural or budget-related.
- Review the product-feedback interview notes for Apex FinTech.
saas-churn-risk-analyzer.pdf
PDF · document
Example file from a real run - the skill writes it into your workspace.
Connects securely to your tools. The creator never sees your data.
What you get
About this skill
The problem
Customer success teams often react to churn after the cancellation notice arrives. Manual tracking of usage drops, support tickets, and seat downgrades across fragmented tools is slow and error-prone.
What it does
- Normalizes usage, subscription, and support data to build comprehensive customer activity profiles.
- Detects multi-vector churn signals including declining feature adoption, seat reduction, and support friction.
- Categorizes evidence into observed data, pattern-supported trends, and hypotheses.
- Classifies account risk levels from Low to Critical Review based on signal persistence and recency.
- Generates prioritized retention playbooks with specific actions like training, technical escalation, or stakeholder check-ins.
Why this beats prompting it yourself
General LLMs often hallucinate certainty or fixate on single outliers. This skill uses a structured risk-rule framework that weighs multiple independent signals and separates hard evidence from hypotheses, preventing false positives and ensuring your CS team focuses on the highest-value interventions.
Use cases
- Preparing for quarterly business reviews or upcoming high-value renewals.
- Identifying feature-adoption gaps to drive expansion revenue.
- Auditing customer health after a major product release or pricing change.
- Triaging support escalations to identify systemic friction points.
Known limitations
Cannot provide statistically validated probability percentages without an external validated model. Performance depends on the consistency of provided customer identifiers.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
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- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
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