Explore Customer Economics calculators and related business decision models on Martzine.
Customer Economics collects closely related calculations so you can move between specific models without returning to the top-level library.
These pages cover narrower Customer Economics questions and are intended to be opened when the standard calculator is not specific enough for the task.
Use the individual page for the formula, working inputs, examples, limitations and related long tail explanations.
Open the calculator that matches the decision you are reviewing. Focused sub-calculators are included where the broader model has a recurring narrower question.
Customer Acquisition Cost (CAC) Calculator is built for Marketing and sales spend, New customers. Start with one real case and keep the period and definitions consistent when you compare another…
Use Customer Lifetime Value (LTV) Calculator when the question is customer value from order value, frequency, margin and lifetime. The result is easier to review when the source of each…
Customer Payback Period Calculator gives you a repeatable way to check Customer acquisition cost, Monthly gross margin per customer. Change one meaningful assumption at a time so the effect stays…
Customer Payback Revenue Calculator is built for Customer acquisition cost, Monthly gross margin. Start with one real case and keep the period and definitions consistent when you compare another case.
Customer Revenue per Month Calculator gives you a repeatable way to check Revenue, Orders. Change one meaningful assumption at a time so the effect stays clear.
Use Lifetime Value to CAC Calculator to work through Customer lifetime value, Customer acquisition cost without hiding the inputs behind one final number. Review the definitions before using the result…
LTV to CAC Ratio Calculator gives you a repeatable way to check Customer lifetime value, Customer acquisition cost. Change one meaningful assumption at a time so the effect stays clear.
Tell us what you are trying to build, what problem you are solving and where the digital part becomes difficult. Martzine is built around that gap. Start with the outcome and the constraint, then work back to the right digital layer.
