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371 - Section on Statistics in Marketing P.M. Roundtable Discussion (Added Fee)
Type: Roundtables
Date/Time: Tuesday, August 1, 2017 : 12:30 PM to 1:50 PM
Sponsor: Section on Statistics in Marketing
Abstract #324820
Title: Best Practices in Predicting Customer Attrition
Author(s): Adraine Upshaw*
Companies: BBVA Compass
Keywords: Customer Attrition ; Customer Churn ; Predictive Models ; Logistic Regression ; Marketing ; Data mining
Abstract:

Customer acquisition is a major focus of marketing departments in any organization. Customer attrition or churn should receive the same focus. In 2014, the Harvard Business review reported that acquiring a new customer is more than 5X the cost of retaining an existing customer. In the era of globalization, profit margins are shrinking in all industries. Data mining techniques can used to achieve the goal of retaining profitable customers. In the roundtable we will discuss various approaches in predicting customer churn.


Authors who are presenting talks have a * after their name.

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