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Redefining Customer Feedback: Embracing Comprehensive Metrics for Accurate Sentiment Analysis

ECXO

A comprehensive approach that integrates multiple feedback sources, including Voice of the Customer (VOC) metrics, data analytics, and AI, is essential for a complete understanding. Companies like Rakuten and L’Oréal leverage AI-driven analytics to monitor sentiment across digital platforms, enabling proactive responses.

Metrics 374
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Eliminating Data Disparity: Q&A with UJET COO Vasili Triant

Calabrio

Originally deployed primarily by larger or more sophisticated contact centers, analytics quickly emerged as a “must-have” application for modern customer service teams. Yet confusion still surrounds the optimal functionalities these analytics must have. The result is “data disparity.”. Look at the term “real-time feed.”

Data 264
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CX 2025: The AI Revolution That Will Leave Your Business Behind

eglobalis

Instead, dynamic alternatives such as Customer Effort Score (CES) , real-time sentiment analysis, and advanced AI-powered analytics offer deeper insights into customer behaviours. By leveraging AI-driven tools, businesses can analyse multi-dimensional feedback (emotional tone, intent, behavioural trends) across channels.

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The Complete Guide to Mastering Contact Center Analytics

InMoment XI

In the era of customer-centricity, contact center analytics stands as a beacon, guiding businesses and contact centers toward informed, data-driven decisions. This article delves deep into the intricacies of contact center analytics, showcasing how they can be the linchpin in enhancing customer experience and driving business growth.

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Beyond NPS: Why Customer Feedback Needs a 360-Degree Revolution

eglobalis

The main point here is that we are talking about NPS, but no individual metric can supply all needed information; therefore, I called this article “360 Degree Revolution” since all metrics plus data supply your organization with a much better reality check than anything else. Should you kill NPS?

NPS 373
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A Comprehensive Analysis of AI’s Impact on the Employee Experience by Ricardo Saltz Gulko

ECXO

This transformation, driven by advanced data analytics, machine learning, and predictive technologies, is ushering in a new era of workplace efficiency and personalization. The Multi-Dimensional Impact of AI AI’s impact on the employee experience is multi-faceted, providing significant benefits while also posing substantial challenges.

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Contact Center Automation: Reduce Agent Burnout and Boost Customer Satisfaction

InMoment XI

They provide a central platform for handling customer interactions across various channels. Automating repetitive tasks like call routing and data entry enables call center cost reduction for businesses. It ingests feedback from email, social media, and chat and integrates it with customer relationship management (CRM) data.