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Text Analytics in Customer Feedback: The CXO’s Secret Weapon

Lumoa

That’s where text analytics in customer feedback proves to be one of the most valuable tools for any business. When to use text analytics This situation is where automated text analytics in customer feedback is brought in: it can help in sorting out the key topics talked about and reveal the general sentiment per topic.

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A Guide to Choosing the Right Text Analysis Software for Your Business

Lumoa

And, if you’re nodding along, I’m also betting you’re savvy enough to know that the future of business success is tightly intertwined with embracing Machine Learning (ML) and Artificial Intelligence (AI). That’s where text analysis, or text mining, comes into play.

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CX Automation: How to Deliver Seamless Customer Experiences with Efficiency

SurveySensum

Better omnichannel communication : Chatbots can be used on multiple digital platforms such as SMS, WhatsApp, Instagram, SMS, etc. Personalized chatbots : They use NLP (natural language processing) and ML (machine learning) to understand not only the customer’s query but their intent and sentiment as well.

CX 52
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Top CSAT Tools to Measure Customer Satisfaction

SurveySensum

Key Features Its text analytics features automatically tag and segment customers based on their feedback. However, SurveySensum offers 24×7 omnichannel customer support to offer exceptional customer services and it’s also cost-effective making it accessible for businesses of all sizes. The surveys are customizable.

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The Role of NPS in the Banking Industry

SurveySensum

Use an omnichannel approach to reach your customers where they prefer to engage. Use text analytics to understand common themes in customer comments. AI-Powered Analytics : Utilizes AI and ML algorithms to analyze open-text feedback and identify key themes, sentiments, and trends.

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