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Why are CX practitioners unhappy with their VoC platform?

eglobalis

What do you want from your VoC platform? I am often asked ‘what is the best Voice of the Customer (VoC) platform?’ I am keen that CX Practitioners see themselves as customers when buying and using a VoC platform. I review VoC platforms so I can help my clients choose one that meets their needs.

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AI and Real-Time Tech vs. Traditional CX Surveys: Who Will Win the Upcoming Battle?

eglobalis

This article examines in detail how businesses in both B2B and B2C contexts are leveraging AI, sentiment analysis, voice-of-customer (VoC) platforms, predictive analytics, and streaming data to capture customer insights in the moment. Beyond call centers , text analytics is helping firms decode sentiment across channels.

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Lesson #15 Revisited: You Can’t Do This Alone – Building the Right Internal Team for VoC in the Age of AI

PeopleMetrics

No matter how talented you are as a customer experience or market research professional, you need a team to build and sustain a world-class Voice of the Customer (VoC) program. Your Best Friend in VoC? If you want a VoC program to work, your IT department must be on board. ITBut Manage the Relationship Wisely First stop: IT.

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Streamline Operational Efficiency With AI-powered Call Center Text Analytics

SurveySensum

Your agents handle thousands of conversations daily, so manually reviewing every call transcript is impossible – but AI-powered Call Center Text Analytics software makes it effortless. What is Call Center Text Analytics? Why is Call Center Text Analytics important? Lets find out!

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Lesson #31 Revisited: Root Cause Analysis (RCA) Is a Must—AI Helps a Bit, But the Pain andthe Payoff Are Still Yours

PeopleMetrics

Theres a certain kind of VoC ROI thats immediateyou close the loop on a bad experience, follow up with the customer, maybe save the relationship, maybe turn a detractor into a promoter. Thats where root cause analysis (RCA) comes inand in my view, its one of the most powerful, yet underused, parts of a VoC program. Thats great.

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Unlock Customer Insights with Social Media Text Analytics

SurveySensum

Social Media Text Analytics. that can easily be AI-Powered Text Analytics Software. What is Social Media Text Analytics? Social media text analytics is the process of analyzing text-based data from social media platforms using technologies like NLP, machine learning, and AI to extract meaningful insights.

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Text Analytics vs Sentiment Analysis: Key Differences & Applications

SurveySensum

While both deal with analyzing text, they serve different purposes. First, What is Text Analytics? Text analysis , also known as text mining, is the process of extracting useful information from unstructured text data. Lets discuss the key differences and applications of sentiment analysis vs text analytics.