unit-economics

To calculate CAC and LTV, input your marketing spend, new customer count, ARPU, churn, and COGS. The analysis computes Paid CAC, Blended CAC, churn-adjusted LTV, LTV/CAC ratios, and payback periods to evaluate profitability and scalability.

A good LTV to CAC ratio indicates scaling readiness. This analysis computes your LTV/CAC from real inputs and benchmarks the result, providing recommended guardrails and a scaling readiness assessment to determine if your ratio supports profitable growth.

Forecasting churn-adjusted LTV requires your ARPU and churn rate inputs. The computation derives lifetime value by applying the churn rate to your average revenue per user, producing a realistic LTV estimate and payback period for scenario planning.

Yes, you can analyze paid versus blended CAC for marketing budget optimization. By inputting your total marketing spend and new customer count, the computation isolates Paid CAC, enabling ROI forecasting and budget allocation decisions across ecommerce, SaaS, and services.

You need a scaling readiness assessment when evaluating if your business model supports profitable growth. By computing payback periods and LTV/CAC ratios from your core inputs, the analysis identifies scaling risks and outputs recommended guardrails for your specific scenario.

To compute unit economics metrics for scenario planning, you need marketing spend, new customer count, ARPU or gross margin, churn rate, and COGS. These inputs yield CAC, LTV, LTV/CAC, payback period, and scaling recommendations for your business.