Our take on customer retention analysis
Salespeople have lots of ideas about why customers leave. Using data science to understand customer churn gives you more nuanced insight for delivering the right message to the right customer at the right time.
Data science translates ideas into data, tests hypotheses, and determines the most likely sources of dissatisfaction for each customer. You can then determine key drivers and business practices are best for certain customers, so you focus the right solutions and messaging that persuades them to stay. A lot of the same customer data can be re-used to find customers who are ripe for accepting new offers.
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