Virgin Mobile undertakes more than 100 marketing campaigns each year. By identifying the most appropriate customers for each of these, the mobile operator will be able to lower campaign costs, reduce customer churn and increase revenue per user from event-triggered marketing activities. For example, customers who add additional minutes by a certain amount and are likely to churn can be sent a text message reminding them of the benefits of Red, Virgin Mobile’s rewards scheme, at or close to the time they re-up their minutes, rather than within an ad hoc campaign.
SPSS’ predictive analytics software provides Virgin Mobile with a better understanding of its customers by combining information on past circumstances, present events and projected future actions. This gives the mobile operator a complete view of its customers and enables the company to adequately anticipate individual customer behavior and needs. For example, Virgin Mobile can predict the likelihood of a customer leaving and take measures to prevent this.
“As the competition continues to heat up in our industry, driving customer loyalty will be the difference between success and failure,” said Caroline Schmidt, CVM controller at Virgin Mobile. “We could only improve the effectiveness of our CRM activity by knowing our customers better.”
Schmidt continued: “It’s a win-win situation: customers only receive the communications they are likely to respond to and we achieve higher response rates and a greater return on investment for each campaign. This is true next-generation CRM.”
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