Packs
2 packscurated
Deploy Azure Infrastructure
Creates databases, caches, and configures authentication, monitoring, and backup.
3 skills · pack
@alirezarezvani
Finance
3 finance skills: financial analyst (ratio analysis, DCF valuation, budgeting, forecasting), SaaS metrics coach (ARR, MRR, churn, CAC, LTV, NRR, Quick Ratio, projections), and business investment advisor. 7 Python automation tools.
3 skills · pack
Results for “cac”
9 skillsads-budget
Plan and review paid-media budgets, bidding, pacing, marginal return, forecasts, CPA, ROAS, MER, LTV:CAC, constraints, and allocation across supported platforms.
saas-metrics-coach
Calculates SaaS health metrics like ARR, MRR, churn, LTV, and CAC from raw business numbers, benchmarks them against industry standards, and provides prioritized actionable advice.
20.4k · bundle
ads-math
Calculate and model paid-media financial metrics including CPA, CPL, CPC, CPM, ROAS, MER, break-even targets, contribution margin, LTV:CAC, impression-share opportunity, budgets, forecasts, and experiment economics.
finance-skills
Routes finance requests to the appropriate skill: financial-analyst for ratio analysis, DCF valuation, and budget variance, or saas-metrics-coach for ARR/MRR, churn, CAC/LTV, and NRR.
20.4k
More results
revenue-engine
Tracks revenue pipelines, monitors Stripe and analytics metrics, and automates financial reporting for SaaS businesses.
10
saas-metrics-coach
SaaS financial health advisor. Use when a user shares revenue or customer numbers, or mentions ARR, MRR, churn, LTV, CAC, NRR, or asks how their SaaS business is doing.
0 · bundle
saas-metrics-coach
SaaS financial health advisor. Use when a user shares revenue or customer numbers, or mentions ARR, MRR, churn, LTV, CAC, NRR, or asks how their SaaS business is doing.
6 · bundle
saas-economics-efficiency-metrics
Evaluate SaaS unit economics and capital efficiency to determine if a business can scale efficiently or needs correction.
5.6k · bundle
finance-based-pricing-advisor
Evaluate the financial impact of pricing changes using ARPU, conversion, churn risk, NRR, and payback analysis to make data-driven go/no-go decisions.
5.6k