Measure what matters with proper event tracking, funnels, cohorts, and metrics. Use when setting up analytics, tracking features, or understanding behavior.
Product Analytics helps you measure the key behaviors and metrics that drive your product’s success. It focuses on defining a North Star Metric that reflects customer value and ties directly to revenue, then breaks down performance through event tracking, funnel analysis, cohorts, and retention curves. This skill enables you to identify where users drop off, measure engagement over time, and optimize features and onboarding to improve activation and retention rates.
By structuring metrics into a hierarchy—acquisition, activation, retention, and revenue—you gain a clear view of what moves the needle. You can track user actions precisely, analyze conversion funnels, and compare cohort performance to validate product changes and prioritize growth levers.
This skill is essential for growth leads and product marketers who need to align teams around a clear value metric and make data-driven trade-offs. It is also critical for performance marketers managing acquisition and activation campaigns that require tight tracking of conversion funnels and retention signals. Agency strategists working with SaaS or consumer apps can use it to audit clients’ analytics setups and recommend optimizations based on real user behavior and revenue impact.
Start by selecting or validating your North Star Metric—the single metric that best represents customer value and correlates with revenue, like Weekly Active Users or Gross Merchandise Volume. Next, implement event tracking to capture key user actions and attributes, such as signups or feature usage, ensuring data is granular and consistent. Then build conversion funnels to identify where users drop off, focusing on critical steps like homepage visits, signup clicks, and onboarding completion. Finally, run cohort analyses and retention curves to monitor user engagement over time and assess the impact of product changes or marketing campaigns.
What makes a good North Star Metric? It must directly reflect customer value, correlate with revenue, and be measurable frequently. How do I identify major drop-offs in my funnel? Compare conversion rates between funnel steps to find where the highest percentage of users leave. How can cohort analysis improve retention? By comparing user groups over time, you can see whether changes to onboarding or features lead to better long-term engagement.
Attach the Product Analytics skill to any Metaflow agent tasked with setting up or auditing analytics frameworks. Expect the agent to guide you through defining your North Star Metric, configuring event tracking, and building funnels and cohorts aligned with your product goals. This skill supports ongoing measurement and insights that inform marketing and product decisions. For detailed guidance on integrating analytics data and creating reports, start with...
For broader context, see our roundup of claude marketing skills, and read Claude Code reporting workflows for marketing agencies for related setup guidance.