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If organizations could incorporate insight from the millions of spoken customer interactions that they receive in their contact centers, they would greatly improve the accuracy of their predictive models, be able to identify the customers who show a high risk of defection much earlier, and treat them immediately. By turning unstructured voice interactions into structured data, and performing advanced analytics on the content of transactions and spoken interactions, the enterprise can address the most critical business issues such as customer loyalty and defection, average revenue per user, upsell/cross-sell optimization, fraud detection, marketing campaign effectiveness, and more. The combination of transactional business intelligence with advanced customer interaction analytics empowers the enterprise with successful management of customer life cycles and profitability.

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