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Global 100 Insurer Identifies 11M € in At-Risk Revenue

This large Insurance company implemented a real-time CEM alerting system which helped them to identify 30,000 "at risk" policyholders and call them back about their negative customer experience.

Learn more by downloading this case study.




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