Glossary

What is Churn Analysis?

The investigation of why customers cancel or stop using a product, identifying patterns, root causes, and actionable insights to reduce future churn.

In Depth

Understanding the Details

Churn analysis goes beyond measuring churn rate to understanding why customers leave. It combines quantitative analysis (what do churned customers have in common?) with qualitative research (what do they say when they cancel?). Effective churn analysis examines cohorts (do certain signup cohorts churn more?), segments (do certain customer types churn more?), usage patterns (what behaviour precedes churn?), and timing (when do customers typically churn?). The insights inform interventions: if customers who don't complete onboarding churn at 3x the rate, invest in onboarding. If customers acquired through a specific channel churn faster, address acquisition quality. Churn analysis transforms churn from a mystery into a manageable problem.

Examples

How It Works in Practice

Cohort churn analysis

Analysis reveals customers acquired during a promotional period churn at 2x the normal rate, indicating the discount attracted poor-fit customers.

Usage-based prediction

Customers who stop using the reporting feature within 30 days of adoption have 70% churn probability, creating a targetable at-risk segment.

Exit survey analysis

Categorising exit survey responses reveals 40% cite missing features, 25% cite price, and 20% cite poor support, prioritising improvement areas.

Importance

Why It Matters

Understanding why customers leave is the first step to keeping them. Churn analysis provides the evidence needed to invest in the right retention strategies.

Misconceptions

What People Often Get Wrong

Churn is random and unpredictable. Actually, churn follows patterns that analysis can identify and interventions can address.

All churn is preventable. Actually, some churn (bad-fit customers, acquired companies) is natural and attempts to prevent it waste resources.

Churn analysis is a data science project. Actually, combining simple analytics with customer conversations provides actionable insights for most companies.

Our Approach

How We Handle Churn Analysis

We conduct churn analysis combining usage data, cohort analysis, and customer research to identify root causes and build targeted retention interventions.

FAQ

Common Questions

Need Help With Churn Analysis?

If you'd like to discuss how churn analysis applies to your business, we're happy to explain further.