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Guest Post: Ditching NPS for Real Feedback–Which is Better For Your Customer Experience?

ShepHyken

He writes about what specifically makes feedback effective in helping you improve your customer service. Feedback, the one thing that businesses know that they need but dread to receive it at the same time. But at the end of the day, it’s the feedback that makes or breaks a company. Should You Ditch NPS for “Real Feedback”? .

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Guest Post: Exploring Natural Language Processing to Categorize Customer Feedback

ShepHyken

This week, we feature an article by Sheila Bugal, Head of Marketing at Caplena , a market-leading text analysis tool. Businesses who want to use NLP to process customer feedback will find that this type of A.I. When it comes to processing feedback, categorization is king. has limitations. .

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A Guide to Choosing the Right Text Analysis Software for Your Business

Lumoa

AI tools are changing the way we analyze customer feedback. This is where stepping up to a text analysis software or a comprehensive customer experience platform becomes a big move for your business. Think about all the customer feedback we see – tweets, reviews, comments, surveys. The market reacts, and reviews pour in.

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What is Voice of the Customer? [+ how to get data analysis]?

Lumoa

Analyzing the feedback that you do get can be overwhelming, especially when it’s coming from so many different sources. The term “Voice” is used in a metaphorical sense, as customers may not express their thoughts and feelings verbally or through traditional feedback channels. But listening isn’t always that easy.

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Executive Report: The Customer Data Too Often Overlooked by the C-Suite

A recent Calabrio research study of more than 1,000 C-Suite executives has revealed leaders are missing a key data stream – voice of the customer data. Download the report to learn how executives can find and use VoC data to make more informed business decisions.

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Build an automated insight extraction framework for customer feedback analysis with Amazon Bedrock and Amazon QuickSight

AWS Machine Learning

Extracting valuable insights from customer feedback presents several significant challenges. Scalability becomes an issue as the amount of feedback grows, hindering the ability to respond promptly and address customer concerns. Large language models (LLMs) have transformed the way we engage with and process natural language.

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The Reality Gap: Sentiment Analysis vs. Customer Feedback

COPC

One AI-powered tool that has gained widespread use is sentiment analysis, designed to gauge customer emotions and improve service delivery. They had invested in a sophisticated sentiment analysis tool to measure customer satisfaction in nearly real-time. However, despite its popularity, many executives remain unconvinced of its value.