Predict customer churn

Use Case

Competition is fierce in the telecom/wireless industry. There is huge churn of customers between carriers and understanding reasons for customer churn or timing of customer churn can greatly affect revenues of a telecom giant.

Big Data for Telecom Companies Telecom telecom first


Opportunities exist to combine customer transaction, historic, demographic, and web click stream data to predict when an existing customer could be out shopping for a new carrier. Having access to predictions such as this will help a carrier to make attractive offers to that customer to keep them longer and offer them products that seem attractive to the customer.

A telecom carrier will also benefit from segmenting their customers better and understanding which customer will respond to what offer. Such fine grained segmentation is possible through analysis of past marketing response rates from existing customers to past marketing efforts of the carrier through email campaign, mass mail campaigns, and customer support calls.