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CallMiner Research Lab

22 Customer Service Experts Reveal How Call Center Reps Should Address Complaints About Bad Customer Service

A panel of customer service experts and call center professionals explain how call center reps should address complaints about bad customer service.

24 Marketers, CX Experts & Analytics Pros Reveal the Most Creative Uses of Predictive Analytics to Improve the Customer Experience

Marketers, analytics pros, and CX experts named these the most innovative ways companies are leveraging predictive analytics to improve customer exper...

Research Lab

Our AI and research experts give you an inside look at our platform

Learn the latest from our team of researchers and data scientists as they break new ground in the area of conversation analytics

Termination Letter Examples for Call Centers & Customer Service Pros

This article will go over a few key elements of a well-drafted termination and touch on the primary types of termination letters that exist.

What is customer value?

Understand how to define what customer value is for your company, why it's important, and how good customer experience and satisfaction enhances its v...

5 Benefits Of An API Integration In Your Contact Center

Contact centers often utilize APIs to create an agent dashboard that combines sales and service information in one central location, introducing gamif...

10 Omnichannel Customer Service Best Practice Tips

Top 10 tips for using an omnichannel strategy to meet your customers' high expectations for digital customer service across multiple platforms.

What Are Customer Analytics?

Learn what makes customer analytics so powerful in providing actionable developmental insights to growing companies.

What are QA metrics? Examples for call centers, aligning with your goals and best practices

Learn what call center quality assurance (QA) metrics are, and how your company can better align with call center QA best practices to achieve the bes...

What is text analytics?

Gain an understanding of the various types of text analytics in order to grasp the function of text analysis in a business context.

Exit Interview Questions for Call Center Employees

These employee experience questions may potentially enable you to discover important insights that can inform lasting improvements in your contact cen...

Machine learning algorithms: A tour of ML algorithms & applications

Learn more about machine learning algorithms and their current uses in a variety of industries.

Best practices & tips for effective call center scripts

Call center scripts are crucial for contact centers to ensure customer satisfaction. Read examples of best practices for call center scripting from th...

What is average handle time? Challenges, examples, and best practices for improving AHT

Learn what average handle time (AHT) is, how it affects your customer satisfaction, and examples, tips and best practices to reduce overall AHT in cal...

21 Marketers, Analytics Pros & Business Leaders Reveal the Most Creative Uses of Predictive Analytics in the Call Center

We reached out to 21 analytics professionals & business leaders to learn their most creative uses of predictive analytics in the call center.

Call Center vs. Contact Center: What’s the Difference?

This blog takes a look at the salient differences between call centers and contact centers to better highlight their strengths and weaknesses.

2020 Call Center Metrics: 6 Key Metrics for Your Call Center Dashboard

Here are some of the best metrics a call center can start with to inform growth strategies and track performance.

The Beginner’s Guide to Speech Analytics Technology

An investment in speech analytics technology is a big one. Here’s a look at everything you need to consider before you make your purchasing decision.

The Best Call Center Software in 2020: Tips & Best Practices for Evaluating & Choosing the Best Call Center Software

Here are tips and best practices to simplify the call center software selection process, allowing you to choose excellent solutions without wasting ti...

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CallMiner

CallMiner is the global leader in conversation analytics to drive business performance improvement. Powered by artificial intelligence and machine learning, CallMiner delivers the industry’s most comprehensive platform to analyze omnichannel customer interactions at scale, allowing organizations to interpret sentiment and identify patterns to reveal deep understanding from every conversation. By connecting the dots between insights and action, CallMiner enables companies to identify areas of opportunity to drive business improvement, growth and transformational change more effectively than ever before. CallMiner is trusted by the world’s leading organizations across retail, financial services, healthcare and insurance, travel and hospitality, and more.

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