Sales & marketing · Calculator companion · By K Imports
Recurring customer churn projection: practical guide
This guide explains how to use the Count.ie recurring customer churn projection. Model the original cohort and total customer base under monthly churn and acquisition. Follow the inputs, method and worked example below, then compare your own scenario.
Guide written .
Open the Recurring customer churn projection calculatorWhat to prepare
- Define the event, conversion, customer and attribution period before collecting data.
- Use spend and outcomes from the same reporting window.
- Distinguish revenue, contribution profit, recurring revenue and customer lifetime assumptions.
Understand the inputs
The calculation method
Original cohort = starting customers × (1 − monthly churn)^months. Monthly acquisitions join after churn is applied.
Worked example
Illustrative inputs and their result.
Example inputs
- Starting customers
- 1000
- Monthly customer churn (%)
- 3
- Projection months
- 12
- New customers acquired monthly
- 40
Calculated example result
- Projected Customers
- 1,102.05
- Original Cohort Remaining
- 693.84
- Annual Churn Percent
- 30.62%
How to interpret the result
A marketing metric depends on its attribution and cost definitions. A favourable ratio is not proof that advertising caused every sale or that future customers will behave the same way.
Compare campaigns with the same attribution window and outcome definition. Test a lower conversion rate or shorter retention period before extrapolating a promising result.
Common mistakes to avoid
- Do not double-count a customer or conversion reported by multiple channels.
- Revenue is not the same as profit available to fund acquisition.
- Small samples and changing cohorts can produce unstable comparisons.
Assumptions and sources
Assumes constant churn and acquisition, without seasonality. Fractional counts represent expected values.
If your case falls outside this scope, use a more suitable calculator or contact us about an unclear method.