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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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Lesson #39 Revisited: Conversational Surveys and AI—The Future of Listening is Here

PeopleMetrics

How It Works Customers answer your standard questions NPS, satisfaction, experience ratings but when they leave a comment, AI steps in to ask smart, contextual follow-up questions. This keeps the customer engaged and delivers richer, higher-quality unstructured feedback for your business.

AI 62
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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.

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ClientSuccess Introduces SmartCS™: AI-Powered Customer Success Insights & Actions

ClientSuccess

Net Promoter Score (NPS) Analyzer The NPS Analyzer feature generates an intelligent analysis of Net Promoter Score (NPS) campaigns. NPS Analyzer dramatically reduces the time and effort required to analyze NPS campaigns, enabling businesses to gain comprehensive insights quickly and take action immediately.

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What is customer experience optimization? (+3 actionable tips)

Zendesk

Evaluate both structured and unstructured data to develop a comprehensive understanding of your customers and their interactions with your brand. Structured data is quantitative information such as names, geolocations, and credit card transactions. Or, say you want to get a pulse on customer loyalty. on a scale of 0 to 10.

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

SurveySensum

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. It is widely used in academic research, social sciences, market research, and business intelligence to process text-based data.

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4 Marketing Strategies to expand your CX Strategy

SurveySensum

Let’s take the example of NPS surveys. While basic data analytics with spreadsheets can give some shallow insights, SurveySensum Text Analysis harnesses data from multiple sources such as chatbots, surveys, in-apps, emails, etc., It goes a long way in strengthening your customer experience strategy. . Leverage Automation.