Analyse customer retention and optimise your marketing strategies
Cohort analysis is an advanced analytics technique that groups users who share common characteristics (usually their acquisition date) and tracks their behavior over time. This allows you to:
Cohort analysis is especially useful for:
Track what percentage of users acquired in a specific month continue using your product or service in subsequent months. This allows you to identify if you have retention problems and at what point users churn.
If you launch a new feature or make changes to your product, you can compare the behavior of cohorts before and after the change to measure its real impact.
Compare cohorts acquired through different channels to identify which sources bring users with best retention and lifetime value.
A SaaS company notices that users acquired in Q1 have 80% retention at month 6, while users from Q2 only have 60%. Analyzing differences, they discover that Q2 lacked the onboarding process they had perfected in Q1.
If you need personalized advice on how to improve your retention strategy based on cohort analysis, I can help you identify opportunities and design an action plan.
Book Free ConsultationCohort analysis groups your customers into cohorts (typically by acquisition date) and analyses how each cohort behaves over time in terms of retention, revenue or any other relevant metric.
The CSV needs three columns: CustomerID, month (YYYY-MM-DD format) and revenue. Respect the exact casing.
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