High Level Design
OverviewBusinesses with recurring revenue have a unique set of challenges with customer churn analysis and client retention. There can be many contributing factors to this complexity including but not limited to transaction records added only on purchases but not cancellations, historical measurement capturing users who have not yet had the chance to repurchase, or varying repurchase cadences requiring independent measurement. In data modeling and formulation this can mean an entirely different approach compared to their brick and mortar peers. This customer churn analysis dashboard provides churn and customer growth analysis by leveraging Sisense’s dashboard functions.
Minimize churn and identify potential causes of customer loss.
- Relate churn to customer cohorts to identify what customers are affecting the KPI
- Increase customer growth and retain dedicated customers when they do churn
- Identify timing of business decisions to churn results
|Relate churn to customer cohorts to identify what customers are affecting the KPI||Lost customers by join month||# of customers by month||MSSQL|
|Identify timing of business decisions to churn results||Churn||Count of customers that have not joined this month / customers from last month|
|Churn % Change||% change of above formula month to month|
|Net Customer Gain||gained customers – lost customers|
|Customer Gain||count of customers joined|
|Customer Loss||count of customers left|
Data Modeling (Elasticube Design)