Growth

What This Skill Does

The Growth skill is a strategic companion for product managers, founders, and growth marketers. It operationalizes growth frameworks by helping you define your North Star Metric, map your AARRR funnel, and identify the optimal growth loop for your product. The skill acts as an analytical engine that decomposes your business metrics to find your weakest funnel stage and suggests experiments to optimize user acquisition, activation, and retention. By leveraging proven methodologies, it helps you pivot from gut-feeling decisions to data-driven growth cycles.

Installation

To integrate the Growth skill into your environment, run the following command in your terminal: clawhub install openclaw/skills/skills/ivangdavila/growth

Use Cases

• Funnel Auditing: Analyze drop-off rates at each stage of the AARRR funnel to pinpoint where you are losing the most potential revenue.
• Growth Loop Strategy: Design custom viral, content, paid, or sales loops that create compounding returns for your business.
• Retention Analysis: Generate cohort-based retention analysis to determine when users form a habit and identify the behavioral drivers of long-term churn.
• Experiment Design: Draft A/B test hypotheses with clearly defined metrics, sample sizes, and durations to ensure statistical significance.
• Channel Prioritization: Use the built-in scoring matrix to evaluate new marketing channels based on CAC, volume, and implementation speed.

Example Prompts

1. "Analyze my current SaaS metrics: 50% drop-off after signup. What are the top 3 experiments to improve my activation rate to the 'aha' moment?"
2. "We have a viral coefficient of 0.8. Help me design a referral incentive loop that pushes this above 1.0."
3. "Evaluate our current channel mix. We are spending $500/day on Google Ads with a high CAC. Suggest a framework to test a content-led organic loop as a replacement."

Tips & Limitations

• Focus on the Weakest Link: Do not try to fix everything at once. Use the funnel analysis to find the single largest bottleneck and dedicate all your resources to improving that specific stage.
• Data Integrity: The quality of the output is dependent on the accuracy of the data you provide. Ensure your tracking is set up correctly before running deep analyses.
• Context Matters: The skill works best when provided with specific business context (e.g., your industry, customer profile, and current metrics). Provide as much detail as possible to receive actionable, tailored strategies rather than generic advice.