Funnel Economics
Funnel Economics MCP server computes economic metrics for sales and marketing funnels, such as CAC, LTV, churn rates, and ROI via API calls. It supports funnel simulations for scenario testing. Marketers, growth analysts, and finance teams use it to evaluate channel performance and allocation decisions.
Overview
Funnel Economics is an MCP server that exposes API endpoints for quantitative analysis of sales funnel economics. It processes funnel data to generate financial metrics and run predictive simulations, enabling data-driven decisions on customer acquisition and retention.
Key Capabilities
- calculate_cac: Computes customer acquisition cost by dividing marketing spend by new customers acquired over a period.
- calculate_ltv: Determines customer lifetime value using average revenue per user, gross margin, and retention rate inputs.
- analyze_churn: Calculates churn rate and its impact on funnel economics from cohort data.
- simulate_funnel: Models funnel stages with drop-off rates, running Monte Carlo simulations to forecast outcomes under variable conditions.
- compute_roi: Evaluates return on investment per funnel stage or channel based on costs and revenue attribution.
Use Cases
- A growth marketer inputs channel spend and acquisition data into calculate_cac and calculate_ltv to assess profitability thresholds before scaling ad campaigns.
- A SaaS analyst uses simulate_funnel to test how a 10% conversion uplift at the trial stage affects overall LTV and revenue projections.
- Finance teams run analyze_churn on historical data to identify leaky funnel stages and prioritize retention fixes.
- Product managers apply compute_roi to compare organic vs. paid channel economics for budget reallocation.
Who This Is For
Growth marketers optimizing acquisition costs, data analysts modeling funnel scenarios, SaaS finance professionals tracking ROI, and developers integrating funnel metrics into dashboards or automation workflows.