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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. Employee Net Promoter Score (eNPS) Employee Net Promoter Score (eNPS) is a customer experience strategy used to measure employee satisfaction and loyalty.

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How to Write a Really Bad Survey

PeopleMetrics

Net Promoter Score) directly embedded into the email invitation where it can be seen above the fold (i.e. He founded PeopleMetrics in 2001 and is the architect of the company’s customer experience management (CEM) software platform. What does the customer get (if anything) by taking the time to fill it out?

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Customer Experience Strategy: An A to Z Glossary

Lumoa

The most important AI technologies relevant for analyzing customer feedback fall in the area of natural language processing (NLP) and machine learning. But machine learning technologies can also help you to move from diagnostic to predictive analytics: if I fix this issue in my customer experience, how much will my churn decrease?

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Lesson #5: You've Got To Know And Use NPS, Even If You Don't Like It

PeopleMetrics

An important metric in any successful VoC program is NPS , or Net Promoter Score. He founded PeopleMetrics in 2001 and is the architect of the company’s customer experience management (CEM) software platform. The following is an excerpt from Listen Or Die by Sean McDade, PhD. Sean holds a Ph.D.

NPS 70
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#CXSecrets: Use Internal Benchmarking to Quickly Enhance CX

PeopleMetrics

Business leaders use this all the time as a way to set standards for performance evaluation on metrics such as Net Promoter Score (NPS) or overall satisfaction; and many look to external benchmarking results as key indicators for how to improve customer experience. As CEO, he guides the company’s vision and strategy.

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A to Z Guide to Customer Experience Definitions and Terms

Lumoa

The most important AI technologies relevant for analyzing customer feedback fall in the area of natural language processing (NLP) and machine learning. But machine learning technologies can also help you to move from diagnostic to predictive analytics: if I fix this issue in my customer experience, how much will my churn decrease?