Remove CEM Remove Machine Learning Remove Text Analytics Remove VOC
article thumbnail

Lesson #10: B2B VoC and B2C VoC Are Completely Different

PeopleMetrics

The answer to this question is key to creating a world-class VoC program. While VoC looks different in B2B than in B2C, the idea of using it to retain customers and reduce churn is still central to both. VoC In Both Worlds. Each relationship and each interaction provide touchpoints for VoC feedback in B2B. VOLUME: Small.

VOC 122
article thumbnail

Lesson #4: Text Analytics Is More Than A VoC Feature; It's An Absolute Must-Have

PeopleMetrics

Enter text analytics. Almost any VoC software platform can easily analyze these data and create graphs to aggregate and compare the responses: Maybe 30% of respondents were very satisfied, 35% very dissatisfied, and so forth. Machines (Text Analytics). Machines, on the other hand, can scale infinitely.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

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. With AI, you can get answers to most of your “why” questions.

article thumbnail

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. Do you love CEM as much as we do?

article thumbnail

A to Z Guide to Customer Experience Definitions and Terms

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. Do you love CEM as much as we do?