English

Calculates core marketing KPIs from campaign inputs to support rapid, data-driven decisions. Target users include marketing analysts, growth managers, and finance teams evaluating campaigns, channels, or products within a single period. The tool translates activity data into actionable metrics such as CAC, conversion rate, revenue, gross profit, and ROI, aligning results with common planning workflows. It accounts for discounts and gross margins to reflect real pricing, promotion effects, and profitability constraints.
Core logic uses a multi-input model with required fields marketing_cost, visits, conversions, average_order_value, churn_rate, gross_margin_rate, time_period, and optional discount_rate. It outputs CAC, conversion_rate, revenue, gross_margin_percent, LTV, and ROI. The model supports scenario testing by varying discount_rate or churn_rate to quantify sensitivity. All inputs include units, ranges, and validations to prevent nonsensical results.
Example: with marketing_cost 5000 USD, visits 15000, conversions 250, average_order_value 80 USD, discount_rate 0.05, churn_rate 0.02, gross_margin_rate 0.6, the calculator yields CAC = 20 USD, conversion_rate ≈ 1.67%, revenue ≈ 19000 USD, LTV ≈ 2400 USD, gross_margin ≈ 11400 USD, and ROI ≈ 2.8. These outputs enable quick budget and channel prioritization.
Outputs are numeric, with two decimals for currency and KPI-specific formatting. Denorms: division by zero warnings; missing inputs lead to invalid results; time_period defaults to month. Localization: currency in USD; percent values shown as 0.xx.