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The Power of Data Analytics in Contact Centers: Driving Insights and Improving Performance

CCNG

With the advent of data analytics, these centers are not just handling customer inquiries; they are also becoming a goldmine of information that can revolutionize decision-making processes and enhance overall performance. The Impact of Data Analytics in Contact Centers: 1. Considerations When Implementing Data Analytics: 1.

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Text Analytics in Customer Feedback: The CXO’s Secret Weapon

Lumoa

That’s where text analytics in customer feedback proves to be one of the most valuable tools for any business. Customer satisfaction drives key metrics like your Net Promoter Score (NPS). Careful and well-implemented text analytics can easily reveal dozens of improvement ideas. However, first, you have to know where to look!

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Guide to Interpreting Call Center Analytics

Fonolo

Correctly interpreting call center analytics and KPIs is key to improving your operations and your customer’s experience. Call center analytics provide valuable insights that can help organizations improve their operations and customer experience. But knowing which metrics matter, and how to interpret them, is key to success.

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Chatbot Analytics: Essential Metrics & KPIs to Measure Bot Success

REVE Chat Blog

Building a good chatbot is a daunting task but at the same time, it is important to understand the key chatbot metrics and how they are performing to achieve your goals. A simple way to judge its efficacy is through chatbot analytics, which can help you to measure the performance in relation to a predefined objective.

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Executive Report: The Customer Data Too Often Overlooked by the C-Suite

A recent Calabrio research study of more than 1,000 C-Suite executives has revealed leaders are missing a key data stream – voice of the customer data. Download the report to learn how executives can find and use VoC data to make more informed business decisions.

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5 Benefits of Collecting Metrics to Identify Common Contact Reasons

Callminer

Actionable analytics is key. Collecting cross-channel metrics makes it possible for contact centers to: Uncover User Experience Issues. And then analyze it for trends such as lost customers or bounce rates on certain pages. Identify other customer trends. Create a better marketing strategy.

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Chatbot Analytics: Essential Metrics & KPIs to Measure Bot Success

REVE Chat Blog

Building a good chatbot is a daunting task but at the same time, it is important to understand the key chatbot metrics and how they are performing to achieve your goals. A simple way to judge its efficacy is through chatbot analytics, which can help you to measure the performance in relation to a predefined objective.