Data can be a powerful tool for improving customer support. By analysing data, customer support teams can gain insights into customer behaviour. This in turn helps identify areas of improvement. The data can include customer sentiment, inquiry trends, customer satisfaction scores, and feedback.
By tracking customer sentiment, you can better understand customer needs and expectations. This data can then be used to improve customer experience.
By monitoring trends in customer inquiries, customer support teams can improve customer service and streamline processes by better understanding their customers' needs.
Cordless is the only phone support platform that includes
sentiment analysis and keyword tracking out of the box.
Finally, customer satisfaction scores can be a good predictor of customer retention, which is extremely valuable, considering that it costs five times more to obtain a new customer, than to keep an existing one. Customer feedback can provide valuable insights into customer needs and expectations.