Lumoa

FEBRUARY 9, 2023

The most important AI technologies, that are relevant for analyzing customer feedback, fall in the area of natural language processing (NLP) and machine learning. We’re moving towards a personalized omnichannel experience in B2B customer journeys. Both groups of technologies can be utilized to make analytics more actionable.

Net Promoter Score 178

Net Promoter Score Customer Experience B2C Social Media 178

SurveySensum

NOVEMBER 11, 2021

It provides the technology to create and share surveys, set up notifications to close the loop, analyze the data with real-time journey-based dashboards, and understand verbatims with Text & Sentiment analysis to prioritize actions. Closing the loop. Closing the loop is highly important. Text Analytics.

Sentiment Analysis 52

Sentiment Analysis Text Analytics Close the Loop Machine Learning 52

SurveySensum

MARCH 3, 2022

It measures customer loyalty and sentiments by listening to your customers, understanding their expectations, and closing the loop. Closing the loop. Close the loop by informing the customers of the actions taken. . in seconds using machine learning. Text Analytics and Machine Learning.

Voice of the Customer 52

Voice of the Customer Sentiment Analysis VOC Close the Loop 52

Lumoa

MARCH 20, 2018

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?

Net Promoter Score 114

Net Promoter Score Customer Experience B2C CEM 114

Lumoa

JANUARY 24, 2024

Along with its perfect record-keeping and feedback-gathering features, this platform also boasts generative artificial intelligence (AI) , machine learning (ML), and natural language processing (NLP) capabilities, allowing it to prepare smart, actionable customer feedback reports for CXOs to act on.

Text Analytics 83

Text Analytics Customer Feedback Net Promoter Score Sentiment Analysis 83

Lumoa

MARCH 20, 2018

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?

Net Promoter Score 64

Net Promoter Score Customer Experience B2C CEM 64

SurveySensum

FEBRUARY 11, 2022

Closing the loop. Since closing the loop is very important, their team helps you with how to analyze the gathered feedback, understand the customer issues from the core, communicate with the customer that you are working on their feedback to resolve their complaints, and actually fix the problem with the relevant teams.

Close the Loop 52

Close the Loop Touchpoint NPS Customer Feedback 52