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Found 20 Skills
SaaS business metrics analysis - MRR, ARR, Churn, LTV, CAC, cohort analysis, and investor reporting
Track user metrics and provide data-driven insights for product decisions. Use when measuring product health, analyzing user behavior, conducting cohort analysis, or optimizing key metrics. Covers acquisition, engagement, retention, revenue metrics, and data-driven decision making.
Calculate and interpret revenue, retention, and growth metrics for SaaS products. Covers revenue, ARPU/ARPA, MRR/ARR, churn, NRR, expansion, and cohort analysis.
Measure what matters with proper event tracking, funnels, cohorts, and metrics. Use when setting up analytics, tracking features, or understanding behavior.
Executive-grade data analysis with pandas/polars and McKinsey-quality visualizations. Use when analyzing data, building dashboards, creating investor presentations, or calculating SaaS metrics.
Analyze user retention and churn using survival analysis, cohort analysis, and machine learning. Calculate retention rates, build survival curves, predict churn risk, and generate retention optimization strategies. Use when working with user subscription data, membership information, or when user mentions retention, churn, survival analysis, or customer lifetime value.
Use this skill when analyzing product funnels, running cohort analysis, measuring feature adoption, or defining product metrics. Triggers on product analytics, funnel analysis, cohort analysis, feature adoption, north star metric, AARRR, retention curves, and any task requiring product data analysis or metrics design.
Growth Strategist Specialist. Use this for analytics, growth loops, and retention strategies.
A/B test evaluation, cohort retention analysis, funnel metrics, and experiment-driven product decisions. Use when analyzing experiments, measuring feature adoption, diagnosing conversion drop-offs, or evaluating statistical significance of product changes.
Analyze product analytics with Amplitude's digital analytics platform.
Expert customer health scoring and analytics guidance. Use when designing health scores, building churn prediction models, analyzing usage metrics, identifying at-risk accounts, creating executive dashboards, or performing cohort analysis. Use for leading indicator development, customer data enrichment, risk escalation frameworks, and retention analytics.
Use to visualize churn, expansion, and health metrics across cohorts.