Remove NPS Remove Text Analytics Remove Unstructured Data
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AI and Real-Time Tech vs. Traditional CX Surveys: Who Will Win the Upcoming Battle?

eglobalis

[link] Introduction: Todays businesses face a pivotal question: can emerging technologies like AI and real-time data platforms reduce or even replace the need for traditional customer surveys in managing customer experience (CX)? These tools provide a simple numerical snapshot, but their simplicity is also their Achilles heel.

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Top 5 Text Analytics Tools: Features, Benefits, and Use Cases

SurveySensum

Text Analytics Tools. What Are Text Analytics Tools? In simple terms, text analytics tools leverage machine learning, NLP, and other AI capabilities to break down unstructured data from customer feedback, online reviews, customer support chat, etc. But, How Do Text Analytics Tools Work?

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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. But whats the difference between the two? Lets discuss them in detail.

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Focus on What Matters Most with Key Driver Analysis

SurveySensum

Your NPS or CSAT scores give you a snapshot of your customer sentiment, but is that enough? With the help of key driver analysis, you can find out exactly which elements (like pricing, product quality, customer support) drive key CX metrics like NPS or CSAT. Then, analyze customer feedback with text analytics to find recurring themes.

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4 Marketing Strategies to expand your CX Strategy

SurveySensum

Let’s take the example of NPS surveys. SurveySensum Text Analysis breaks down large chunks of textual data into easily understandable and recognizable patterns. It tags all the unstructured data into categories and sentiments making it easy for you to identify the most common themes. Leverage Automation.

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Sentiment Analysis: Guide to Boost CX & Drive Business Insights

SurveySensum

Sentiment analysis is the process of analyzing open-ended feedback using AI technologies like natural language processing, machine learning, and text analytics. It is part of a great umbrella of text mining called text analysis. What is Sentiment Analysis?

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Why Voice of Customer Matters (& How To Do It Right)

SurveySensum

Step 3: Identify Key Drivers of Customer Satisfaction Visualization is not just about knowing your NPS score – its about understanding why your score is what it is. Leverage text analytics and AI to filter and categorize open-ended responses for better analysis. Solution Define key VoC KPIs such as NPS, CSAT , and CES.

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