saas-metrics-coach

What This Skill Does

The saas-metrics-coach is a specialized AI agent skill designed to act as your fractional SaaS CFO. It transforms raw business data—such as revenue, customer counts, and marketing spend—into actionable intelligence. The agent calculates critical financial health metrics, benchmarks them against industry standards for your specific growth stage and market segment, and provides a prioritized roadmap for improvement. Whether you are struggling with churn, optimizing your CAC, or evaluating your growth velocity, this tool provides the analytical rigor needed to make data-driven decisions.

Installation

To install this skill, run the following command in your terminal: clawhub install openclaw/skills/skills/alirezarezvani/saas-metrics-coach Ensure you have the OpenClaw environment initialized before running the installation command.

Use Cases

• Monthly Performance Reviews: Use the tool at the end of every month to track how your metrics align with your growth goals.
• Investor Preparation: Generate professional-grade health reports to show prospective investors or board members that you have a firm grip on your unit economics.
• Troubleshooting Stagnation: If growth has stalled, the agent identifies whether the issue is acquisition cost (CAC), retention (churn), or monetization efficiency (ARPA/LTV).
• Strategic Pivot Planning: Use the integrated simulations to project how changes in pricing or churn rate will impact your runway and ARR.

Example Prompts

1. "Hey, our MRR is at $50k, up from $45k last month. We added 20 customers but lost 5. We spent $8k on marketing this month. How are we doing?"
2. "Analyze my SaaS business: $120k ARR, 150 active customers, 70% gross margin, $20k monthly CAC. Is my LTV:CAC ratio sustainable?"
3. "Our churn rate is climbing and hit 4% this month. Can you tell me why this matters and give me three specific things to do to fix it?"

Tips & Limitations

• Completeness Matters: While the agent can work with partial data, the quality of the advice improves significantly with full inputs (specifically expansion MRR and gross margin).
• Benchmarking Context: Always define your segment (e.g., PLG vs Enterprise) when asked, as benchmarks vary wildly between business models.
• One Problem at a Time: Focus on the '90-Day Focus' metric provided in the report to avoid spreading your team's efforts too thin.
• Assumptions: Always verify the assumptions the agent makes regarding your missing data points to ensure they align with your actual business reality.