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How to Boost Efficiency and Customer Satisfaction with Contact Center Analytics

Global Response

Read Time: 12 minutes Table of Contents Introduction Looking to understand and use contact center analytics to boost efficiency and build customer loyalty? Key takeaways Understanding contact center analytics : Contact center analytics collect consumer data to help you review customer interactions and make informed business decisions.

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How to Reduce Wait Times and Improve Customer Satisfaction in Call Centers

TeleDirect

Reduce misdirected calls that waste both customer and agent time. Leverage AI-Powered Chatbots and Self-Service Options AI-driven chatbots can resolve common customer inquiries instantly. Train Agents for Speed and Efficiency Teach effective call-handling techniques to resolve issues quickly.

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How AI solutions for contact centres reduce costs and improve efficiency

Connect

For instance, integrating AI technologies into chatbots, such as natural language processing (NLP) and machine learning (ML), can offload customer service interactions from agents onto AI-powered self-service channels, empowering contact centre operators to handle higher call volumes. AI boosts capacity. AI super-charges agents.

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Guest Blog: 4 Easy Ways to Achieve Difficult Customer Contact Goals

ShepHyken

By establishing metrics for factors like “time spent in the knowledge base,” “screens to resolution,” or “questions to authentication,” you will learn what agents experience when supporting customers. Goal: Adopt Chatbots. Customer-centric organizations do not invest in chatbots for the sake of “keeping up with the Joneses.”

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Study: The Health of the Contact Center

What does it take to engage agents in this customer-centric era? Download our study of 1,000 contact center agents in the US and UK to find out what major challenges are facing contact center agents today – and what your company can do about it.

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CX4Now: Contact Center KPIs that Matter

Fonolo

I think the more companies focus on customer care analytics over marketing analytics, the better. Average handle time (AHT) Average handle time computes the average duration of an entire customer transaction. AHT includes hold time, call transfers, and after call work, too.

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9 Tools to Improve Average Handle Time (AHT) in Contact Centers

Calltools

Average handle time (AHT) is an important metric call center agents use to measure how much time it takes to interact with a customer. This metric measures the average length of time on the phone with the customer and includes the wait time and time spent on agents after the call has been completed.

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6 Killer Applications for Artificial Intelligence in the Customer Engagement Contact Center

If Artificial Intelligence for businesses is a red-hot topic in C-suites, AI for customer engagement and contact center customer service is white hot. This white paper covers specific areas in this domain that offer potential for transformational ROI, and a fast, zero-risk way to innovate with AI.

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The Health of the Contact Center: Are You Ready for 2019?

A survey of 1,000 contact center professionals reveals what it takes to improve agent well-being in a customer-centric era. This report is a must-read for contact center leaders preparing to engage agents and improve customer experience in 2019.