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How Can Sentiment Analysis Be Used to Improve Customer Experience?

Interaction Metrics

Sentiment analysis reveals the emotions your customers feelbut knowing how they feel is only useful if you know why they feel the emotion in the first place. We provide comprehensive text analysis services that include sentiment analysis to deliver actionable insights you can use to improve the customer experience.

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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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Lesson #8 Revisited: The Convergence of VoC and Market Research in the Age of AI

PeopleMetrics

While VoC focuses on real-time, operational feedback from all customers, market research traditionally delivers strategic insights based on a sample of customers. Example: A telecom provider integrates feedback from a post call, customer support survey (VoC) and a brand perception survey (market research).

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Lesson #3 Revisited: AI and the Quest for a Single Source of Truth in CX Feedback

PeopleMetrics

In Lesson #3 of Listen or Die , I wrote about the power of Voice of the Customer (VoC) programs to act as a single source of truth for all customer feedback. How AI is Beginning to Transform VoC AI is starting to reshape how VoC platforms collect, process, and analyze feedback. Heres a few trends that are happening now: 1.

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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.

Feedback 119
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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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