Remove Machine Learning Remove Net Promoter Score Remove Predictive Analytics
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AI and Real-Time Tech vs. Traditional CX Surveys: Who Will Win the Upcoming Battle?

eglobalis

For years, metrics such as the limited Net Promoter Score (NPS) and customer satisfaction (CSAT) surveys have been the backbone of CX perceived measurements along some other metrics and data. However, AI isnt just analyzing past sentiment its increasingly used to predict future sentiment and behaviour.

AI 346
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Beyond NPS: Why Customer Feedback Needs a 360-Degree Revolution

eglobalis

The Imperative for Diverse Metrics and Measurements in Understanding Customer Sentiment Introduction Net Promoter Score (NPS) has established itself as a popular metric for evaluating customer loyalty, satisfaction levels, and the likelihood of customer churn. However, its relevance diminishes with delayed insights.

NPS 480
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A to Z Guide to Customer Experience Definitions and Terms (Updated)

Lumoa

The most important AI technologies, that are relevant for analyzing customer feedback, fall in the area of natural language processing (NLP) and machine learning. Both groups of technologies can be utilized to make analytics more actionable. By the way, did you know that Lumoa’s analytics is powered by AI?

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Making Customer Feedback Actionable - How Can AI Help?

Lumoa

The most widely used customer experience metric NPS (check what Net Promoter Score is about and how to use it for your company) actually gives all the necessary ingredients for the actionability. Both groups of technologies can be utilized to make analytics more actionable.

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Become the King Midas of CX

ECXO

Analyzing Patterns: Use advanced analytics to identify patterns and trends. 3. Predictive Analytics: Utilize predictive analytics to foresee customer needs and behaviors. Understand what drives customer satisfaction and what leads to dissatisfaction. Anticipate their needs before they even realize them.

CX 156
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Customer Experience Strategy: An A to Z Glossary

Lumoa

Actionability Actionability is the result of analytics leading to concrete decisions and changes and actions within the company. The most important AI technologies relevant for analyzing customer feedback fall in the area of natural language processing (NLP) and machine learning. Learn More about the role of AI in CX.

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Track Performance and Boost Operational Efficiency With Contact Center Analytics

SurveySensum

Instead of relying on the traditional method of manually keeping track of customer interactions, feedback, and agent performance, contact center analytics centers around improving and optimizing customer service processes with the help of advanced analytics like AI, machine learning, etc.