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

VOZIQ

This information includes customer data captured from contact center agent notes, surveys, emails, chats, and web forms. Traditional customer retention strategies only use structured data because it’s easier for their models to understand and be trained with. It lets you know why your customers may leave you.

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11 best Voice of the Customer tools to listen to your customers effectively

SurveySensum

By listening to the CUSTOMER. – With Voice of the Customer tools. . VOC tools help you listen and comprehend the customer expectations, opinions, and feedback. And not just that, you can analyze the data and extract actionable insights to improve customer experience. . Listen to customer feedback.

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Catch up with New at Intercom, our fall product launch event

Intercom, Inc.

As customer expectations of the service you provide rise and rise, you need to design the experience yourself to match their expectations and keep customers engaged and happy. And fourth, in-product messaging is increasingly customers’ preferred channel. We’ve also updated how article suggestions work.

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A to Z Guide to Customer Experience Definitions and Terms (Updated)

Lumoa

The most important AI technologies, that are relevant for analyzing customer feedback, fall in the area of natural language processing (NLP) and machine learning. Why are your customers turning away from you? Why is the retention of your customers so high/low? Why is NPS ® going up or down?

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Customer Experience Strategy: An A to Z Glossary

Lumoa

The most important AI technologies relevant for analyzing customer feedback fall in the area of natural language processing (NLP) and machine learning. Why are your customers turning away from you? Why is the retention of your customers so high/low? Do you see what drives customer satisfaction?

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A to Z Guide to Customer Experience Definitions and Terms

Lumoa

The most important AI technologies relevant for analyzing customer feedback fall in the area of natural language processing (NLP) and machine learning. Why are your customers turning away from you? Why is the retention of your customers so high/low? Do you see what drives customer satisfaction?

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Addressing metrics gaps between bot-led and human-led service

Comm100

This shouldn’t be seen as a bad thing: With your live chat agents handling more complex queries, they will need more time to offer the helpful, nuanced responses that your customers expect of them. Chatbot “training” is possible in the sense that chatbots can use machine learning to convert user interactions into structured data.