When preparing a churn analysis, it's important to think about churn in relation to both your business and your customers. The following suggested analysis methods will help you achieve this.
Before starting your churn analysis, it's important to ask yourself: what problem am I trying to solve? This will help guide the analysis process and avoid wasting time on doing random searches in the data.
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Analysing Churn: A comprehensive Study
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How to analyze churn data and make data-driven decisions
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Collect the voice of the customers at risk.
This will help you be aware of many important things including the reason your customer bought your product, why they stuck around, and what made them cancel. The following methods and campaigns can be used to learn more about your customers:
The instrumental complaint is used to solve problems - for example, confronting your partner about overspending. This type of complaint focuses on the impact of the problem and creating a plan for change.
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