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

SurveySensum

JULY 20, 2023

This will help you identify touchpoints with the friction, take the required action, and improve the overall retail experience. To address this, we have put together a comprehensive guide that provides insights into common pain points in both digital and in-store retail experiences , providing actionable strategies to resolve them.

Retail 52

Retail Customer Feedback CX Social Media 52

SurveySensum

APRIL 5, 2022

Analyze and identify top customer complaints and sentiments automatically using machine learning and artificial intelligence-enabled text and sentiment analytics. ? Yeah, SAP owns Qualtrics, and it works best in multiple industries like healthcare, finance, tourism, retail, automobiles, etc. Text and Sentiment Analytics.

NPS 52

NPS Sentiment Analysis Start-ups Customer Feedback 52

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

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

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