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

eglobalis

This article examines in detail how businesses in both B2B and B2C contexts are leveraging AI, sentiment analysis, voice-of-customer (VoC) platforms, predictive analytics, and streaming data to capture customer insights in the moment. Instead of explicitly asking How do you feel?,

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Contact Centre Predictions for 2020

Callminer

I predict that the brands that will deliver a better response to the swearing problem, by adding offensive language as a call centre KPI, will get a competitive advantage in 2020. Predictive Analytics Will Drive a Better Customer Experience. I believe that predictive analytics will drive a better customer experience in 2020.

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How Artificial Intelligence and Predictive Analytics Can Help You Reduce Customer Churn

CSAT.AI

You should have all the standard data, such as customer location, age, email, title, etc…, but you should also be inquiring why customers are leaving when they leave. The second challenge lies in whether it’s structured or unstructured data. Analyze your data and data-gathering tools.

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The Future of Customer Experience: Embracing AI, Predictive Analytics

SurveySensum

. → Here’s the list of the top 7 Customer Journey Analytics tools Real-time Monitoring : Implementing real-time monitoring via in-app feedback, website pop-ups, chatbots, social media, web analytics, etc, will help you capture immediate customer responses and enable you to act in real time.

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Track Performance and Boost Operational Efficiency With Contact Center Analytics

SurveySensum

Different Types of Contact Center Analytics There are different types of analysis that fall under the contact center analytics umbrella that can be applied to the customer center data and insights. Let’s understand each of them.

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How AI and Omnichannel Support Elevate Customer Service in Call Center

Hodusoft

Lack of Proactive Customer Engagement Without AI’s predictive analytics, call centers may miss opportunities to engage customers proactively. This technology is crucial for analyzing customer sentiments and extracting insights from unstructured data, such as social media comments or open-ended survey responses.

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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. Lets find out more.