Remove Customer Feedback 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

Using natural language processing (NLP) and machine learning, companies can interpret the tone and emotion behind customer interactions on a massive scale. AI can infer customer sentiment from what theyre already saying or writing. Crucially, it can highlight why customers feel that way by extracting common themes.

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

SurveySensum

Are you still analyzing your customer feedback manually? In this digital age, where feedback can be gathered from multiple sources from social media posts to online reviews, it has become imperative that you dont miss anything as each of these customer activities can be valuable for your business. Text Analytics Tools.

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Unlock Customer Insights with Social Media Text Analytics

SurveySensum

But lets be honest – conversation online is very cluttered and unstructured and making sense of it is a challenge , well only if you are not implementing the right strategy the right way. Social Media Text Analytics. that can easily be AI-Powered Text Analytics Software. What is Social Media Text Analytics?

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Text Analytics vs Sentiment Analysis: Key Differences & Applications

SurveySensum

Out to do a detailed analysis of your customer feedback/review? When the world is rapidly turning towards AI, businesses are relying on advanced techniques to extract valuable insights customer reviews, social handles, emails, chats, surveys, and whatnot. While both deal with analyzing text, they serve different purposes.

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Track Performance and Boost Operational Efficiency With Contact Center Analytics

SurveySensum

Instead of relying on the traditional method of manually keeping track of customer interactions, feedback, and agent performance, contact center analytics centers around improving and optimizing customer service processes with the help of advanced analytics like AI, machine learning, etc. Well, not anymore.

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6 Reasons Why Unstructured Data Is Key to an Effective Retention Program

VOZIQ

While structured customer data can tell you how many customers may cancel, unstructured data can reveal your customers’ wants, needs, concerns, expectations, and reasons for potentially canceling. Here are six ways unstructured data strengthen customer retention strategies: 1.

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Focus on What Matters Most with Key Driver Analysis

SurveySensum

Using a mix of historical data analysis, customer feedback , and industry benchmarks goes a long way here. For example, if you want to improve your CSAT , first make a list of all the possible factors that affect customer satisfaction, like pricing, product reliability, etc.