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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.
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.
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.
Calculate and interpret revenue, retention, and growth metrics for SaaS products. Covers revenue, ARPU/ARPA, MRR/ARR, churn, NRR, expansion, and cohort analysis.
Analytics de produto — PostHog, Mixpanel, eventos, funnels, cohorts, retencao, north star metric, OKRs e dashboards de produto.
Analyze product analytics with Amplitude's digital analytics platform.
Growth Strategist Specialist. Use this for analytics, growth loops, and retention strategies.
Use this skill when calculating, analyzing, or reporting SaaS business metrics. Triggers on MRR, ARR, churn rate, LTV, CAC, LTV:CAC ratio, cohort analysis, net revenue retention, expansion revenue, board deck metrics, investor reporting, unit economics, payback period, or SaaS financial modeling. Covers metric definitions, formulas, spreadsheet implementation, cohort tables, and board-ready reporting for founders, finance teams, and growth operators.
Use to visualize churn, expansion, and health metrics across cohorts.
Use when defining product KPIs, building metric dashboards, running cohort or retention analysis, or interpreting feature adoption trends across product stages.