A business incurs much higher charges when attempting to win new customers than to retain existing ones. As a result, much research has been invested into new ways of identifying those customers who have a high risk of churning. However, customer retention efforts have also been costing organizations large amounts of resources. Based on mobile communication industry as an example, this paper discuss how the enterprise analyzing customer's basic data, transaction data and behavior patterns, establishes the customer churning models, and on this basis carries on the preliminary drain causes analysis and erosion trend, and gives effective control of the customer churn suggestion.
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