liveBook · Manning

Customer churn

As explained in First-Party Data Activation

The percentage of customers who discontinue engagement or purchasing during a specified period.

Customer churn is the percentage of customers who disengage with a brand during a specified period. It is a retention signal: a rising churn rate raises the question of where customers are losing interest and what might bring them back. section 2.3.3

Use churn alongside other customer signals rather than treating the percentage as an explanation on its own:

  • Compare churn with engagement metrics to look for behavior that may signal dissatisfaction, then target retention efforts. section 2.3.3
  • Use first-party data to understand changing needs and keep the customer relationship useful beyond an initial purchase. section 1.3.2

Re-engaging quiet customers

A consumer electronics brand used purchase history and website activity to identify customers who had not purchased in over 18 months. It then sent personalized emails featuring related products and a limited-time discount. This is a response to possible churn, not a calculation of the churn rate. section 1.6.2

Measurement and response should remain distinct. Churn rate shows how much disengagement is occurring; customer data can help reveal patterns and guide an appropriate response. When analyzing that data, protect customer privacy. section 2.3.3 section 1.6.2

How First-Party Data Activation covers it

How deep it goes
Defines churn rate as a percentage and shows how to use it with engagement metrics, but does not work through a calculation.
Examples
Illustrates retention through a baby registry and re-engagement through personalized emails to customers inactive for over 18 months.
What you can do after
Diagnose/debug with it by comparing churn and engagement patterns, then targeting retention efforts without assuming the metric reveals the cause.
How it connects
Connects churn to engagement metrics, first-party data, customer retention, and personalized marketing.

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This explainer was generated by Manning's knowledge graph from the text of First-Party Data Activation. The section links point to the parts of the book it draws on.