Customer Retention - Reducing Churn

In telecommunications, customer churn is both a big issue and big expense.

Aggressive competition has significantly increased the cost of acquiring new customers, making it imperative to identify customers likely to churn, which ones are profitable to retain and the necessary steps to prevent them from leaving.

Predicting churn and designing cost-effective strategies to reduce it, are extremely difficult undertakings for most telecommunications companies. It requires access to and analysis of massive volumes of data. For most, data spread throughout disparate systems makes this an impossible task.

Without adequate data mining and analytical technology, telecom organizations simply lack the ability to combat churn.

Customer Retention Solutions

A good Customer Retention Solution offers:

• Accurate reporting on who is leaving your company.
• Insights into the major factors influencing the decision to leave.
• Industry-leading accuracy for predicting who is likely to churn in the near future
• Flexible and scalable technology that can keep up with your company's growth
• Pre-built analytical data and process models that speed up implementation and ROI.

In other words, this solution allows Telcos to determine not only which customers are likely to leave, but why.

SAS Customer Retention for Telecommunications

SAS Customer Retention for Telecommunications provides ready-to-deploy models and a telecommunications-specific data architecture that enables organizations to quickly gain a better understanding of the variables that influence customer churn.

Case Studies

EarthLink Customer Retention Solution

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