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

eglobalis

For years, metrics such as the limited Net Promoter Score (NPS) and customer satisfaction (CSAT) surveys have been the backbone of CX perceived measurements along some other metrics and data. In sum, while surveys like NPS are easy to administer and benchmark, they often fail to capture the depth, immediacy, and drivers of customer sentiment.

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Lesson #6 Revisited: NPS Isn’t Enough—AI Helps Identify the Actions That Improve CX

PeopleMetrics

When I wrote Listen or Die in 2017, I made the case that NPS is invaluable for understanding the overall health of your customer relationships, but its not enoughespecially in a transactional VoC survey. The Bottom Line In transactional VoC surveys, metrics like NPS, CSAT, and CES are just the starting point.

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AI and Customer Experience: The Smarter, Faster, and More Personal Duo Redefining B2B Success

eglobalis

Similarly, Oracle has been using its Oracle Text Analytics tool since 2015 to analyze customer feedback from surveys, social media, and reviews. For instance, a retail client of Oracle improved its Net Promoter Score (NPS) by 15% by addressing negative sentiment identified through AI analysis.

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Lesson #5 Revisited: You’ve Got to Know and Use NPS—Even in the Age of AI

PeopleMetrics

Net Promoter Score (NPS) has been a cornerstone of Voice of the Customer (VoC) programs for decades. As I wrote in Listen or Die in 2017, NPS is simple, powerful, and universally understooda trusted measure of how well youre building loyalty among your customers. Instead, AI enhances what we can learn from NPS and how we can act on it.

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Lesson #24 Revisited: Shorter surveys are usually better—but if it’s too short, it could come back to bite you

PeopleMetrics

For that reason, super-short surveys are increasingly popular, often consisting of just one or two questions: the likelihood that the customer will recommend your company (NPS) and an open-ended "why?" NPS doesnt measure the latest interaction. Text analytics tools are impressive and improving rapidly, but they're not foolproof.

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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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Everything You Need to Know about Text Analytics

Lumoa

This situation is where automated text analytics is brought in: it can help in sorting out the key topics talked about and reveal the general sentiment per topic. Text analytics helps in understanding the feedback. Careful and well implemented text analytics can easily reveal dozens of improvement ideas.